JP3770478B2 - Method for identifying production abnormality cause colorant in production abnormality sample by CCM - Google Patents

Description

（式中、Ｋ_nは各カラーの吸収係数を示し、Ｓ_nは散乱係数を示し、Ｃ_nは重量％を示し、Ｋ₀は被着色物（例えば樹脂など）の吸収係数を示し、Ｓ₀はその散乱係数を示す。）
【００２５】
式(15) は、例えば白ａなど特定の顔料をリファレンス（参照）とし、その他のカラーはリファレンスに対する相対値として式(16) に展開される。

（式中、K _n/S_nは各カラーの分光反射率を測定し、式(11) より求められるK/S 値を示し、K₀/S₀は被着色物（例えば樹脂など）を測定し、式(11) より求められるK/S 値を示し、S_n/ Ｓ_aは各カラーの白ａに対する相対散乱係数を示し、S₀/S_aは被着色物の白ａに対する相対散乱係数を示す。）これらの値は事前にＣＣＭ装置に登録しておく。
【００２６】
調色品は配合が既知であるから、式(16) のC _nは既知となり、その他は上記の如く、ＣＣＭ装置に登録されているので調色品の（K/S ）mix が得られる。そして、（K/S ）mix を式(12) のK/S に代入するとＣＣＭシミュレーション分光反射率ＲＣＡＬ-n が得られる。
【００２７】
なお、調色対象物が透明な場合は、上記ＣＣＭシミュレーション分光反射率ＲＣＡＬ-nに代えて、ランバートベールの理論式(17)を使用することにより、ＣＣＭシミュレーション分光透過率ＴＣＡＬ-nが得られる。
Ｄ＝−Log Ｔ (17)
【００２８】
各々のカラーを規定量計量し、そのカラーでの着色物の分光透過率を測定し、式(17) から、各カラーのＤ関数、つまりＤ_nを事前に登録しておく。カラー単位重量％当たりの、カラー自体が持つＤ値（Ｄ_n）は式(18) で示される。
Ｄ_n＝（−Log Ｔ_n＋Log Ｔ_o）／Ｃ_n (18)
（式中、Ｔ_nは各カラー単体での着色物の分光透過率を示し、Ｔ_oは被着色物（例えば樹脂など）の分光透過率を示し、ｎはカラー名を示す。）
【００２９】
複数のカラーを混合し、その混合カラーでの着色物のＤ値は式(19) で算出される。
Ｄmix ＝Ｄ₁Ｃ₁＋ ・・・＋Ｄ_nＣ_n＋Ｄ₀ (19)
【００３０】
調色品は配合が既知であるから、式(19) のＣ_nは既知であり、Ｄ_nは事前にＣＣＭ装置に登録されているから、調色品のＤmix が得られる。Ｄmix を式(17) のＤに代入するとＣＣＭシミュレーション分光透過率ＴＣＡＬ-n が得られる。
【００３１】
なお、前述のクベルカ−ムンク理論の１定数法、クベルカ−ムンク理論の２定数法及びランバートベール法はＣＣＭシミュレーションの技法であって、ＣＣＭシミュレーション分光反射率ＲＣＡＬ-n 及びＣＣＭシミュレーション分光透過率ＴＣＡＬ-nを求める手法の一例である。
【００３２】
本発明の方法において、まず、ＣＣＭによる作製異常サンプル中の作製異常分の特定方法を実施する。すなわち、ＣＣＭによる作製異常サンプル中の作製異常分の特定方法は、複数の調色サンプルから作製異常サンプルと正常サンプルとを特定した後において、該作製異常サンプルに対し行うものである。
【００３３】
本発明において、複数の調色サンプルから作製異常サンプルと正常サンプルとを特定する方法としては、特に限定されず、公知の方法や人間の視感で特定する方法等を用いることができる。
【００３４】
次に、前記式（１）により、ＲＲＥＡＬnとＲＣＡＬnとの各波長における分光反射率の差を示す分光反射率を、調色サンプルｎのシミュレーション誤差ΔＲnと規定する。
【００３５】
なお、本発明において、前記式（１）は測定波長域内の各波長において適用するものとする。すなわち、前記式（１）で表される数値は波長毎に得られる単一の数値であるが、本発明においては、測定波長域内の任意の波長で測定した複数の数値の集合体を表するものとする。例えば、ＲＲＥＡＬnは波長−分光反射率座標のグラフに表すと、測定波長域内で測定した任意の波長の点数が多いと、折れ線グラフや図１のような曲線等に類似するものとなる。ただし、本発明においては、表色値等の計算に用いられるデータは、前記式（１）で算出される各波長のデータのみが用いられ、グラフに表された曲線や折れ線グラフ等に基づいて計算することは行わない。
【００３６】
さらに、下記式（２）により、ΔＲabnとΔＲnor-aveとの各波長における分光反射率の差を示す分光反射率ΔＲ'abnを求め、該ΔＲ'abnを前記作製異常サンプルの作製異常分として特定する。
ΔＲ'abn＝ΔＲabn−ΔＲnor-ave （２）
（ΔＲabn：作製異常サンプルのシミュレーション誤差、ΔＲnor-ave：少なくとも１個の正常サンプルの各シミュレーション誤差ΔＲnorの、各波長における分光反射率の相加平均を示す分光反射率）
【００３７】
ここで、ΔＲabn、ΔＲnor、ΔＲnor-ave等は、前記式（１）で規定されるシミュレーション誤差である。なお、ΔＲnor-aveは、少なくとも１個の正常サンプルの各シミュレーション誤差ΔＲnorの、各波長における分光反射率の相加平均を示す分光反射率である。このため、ΔＲnor-aveは、例えば、正常サンプルがａ、ｂ、ｃの３個あり、ΔＲaの波長λ1における値が５０％、波長λ2における値が５０％であり、ΔＲbの波長λ1における値が４０％、波長λ2における値が４０％であり、ΔＲcの波長λ1における値が３０％、波長λ2における値が６０％であるとすると、ΔＲnor-aveは、ΔＲa、ΔＲb、ΔＲcのそれぞれの値そのものでもよく、また、ΔＲa、ΔＲb、ΔＲc全ての相加平均をとれば、波長λ1における値が４０％、波長λ2における値が５０％となる。
【００３８】
また、前記式（２）は前記式（１）と同様に、測定波長域内の各波長において適用するものとする。すなわち、前記式（２）で表される数値は波長毎に得られる単一の数値であるが、本発明においては、測定波長域内の任意の波長で測定した複数の数値の集合体を表するものとする。例えば、ΔＲabnは波長−分光反射率座標のグラフに表すと、測定波長域内で測定した任意の波長の点数が多いと、折れ線グラフや図１のような曲線等に類似するものとなる。ただし、本発明においては、表色値等の計算に用いられるデータは、前記式（２）で算出される各波長のデータのみが用いられ、グラフに表された曲線や折れ線グラフ等に基づいて計算することは行わない。
【００３９】
本発明では、前記式（２）により、ΔＲ'abnを求め、該ΔＲ'abnを前記作製異常サンプルの作製異常分として特定する推定を行う。
【００４０】
このように推定する根拠は、以下の通りである。すなわち、ＣＣＭにおいて、シミュレーション誤差ΔＲnは正常サンプルｎｏｒのもの（ΔＲnor）であれば略一定の値を採る。このため、ΔＲnが異常値を採る調色サンプルｎ、すなわち作製異常サンプルａｂｎのΔＲn（ΔＲabn）が異常値を採る理由は、ΔＲabnがΔＲnorに加えて作製異常分ΔＲ'abnが加算されているものと推定しうるからである。
【００４１】
本発明に係るＣＣＭによる作製異常サンプル中の作製異常分の表示方法は、前記作製異常分ΔＲ'abnを、波長と分光反射率差とをそれぞれ軸とした座標に表示するものである。このように、前記ΔＲ'abnを、波長と分光反射率差とをそれぞれ軸とした座標に表示すると、正常サンプルはΔＲ'abnの絶対値が小さい値となるためΔＲ'abn値で形成するグラフがΔＲ'abn＝０の近傍に略直線状のものとなるのに対し、作製異常サンプルはΔＲ'abnがゼロから遠い値を採るためΔＲ'abn値で形成するグラフがΔＲ'abn＝０の近傍から大きく逸脱し、通常、作製異常原因となっている着色剤に特有の波長域に山部、谷部や平坦部を有する曲線状に存在するため、一見して調色サンプルが正常サンプルか作製異常サンプルかを容易に判断できる。
【００４２】
なお、上記ＣＣＭによる作製異常サンプル中の作製異常分の特定方法及びＣＣＭによる作製異常サンプル中の作製異常分の表示方法は、ＣＣＭソフト中に組込んで実行すると、調色作業中に即座に異常を判断できるため好ましい。
【００４３】
なお、本発明において、調色サンプルが透明な場合は、上記分光反射率に代えて、分光透過率を用いることが好ましい。具体的には、本発明に係るＣＣＭによる作製異常サンプル中の作製異常分の特定方法を、複数の調色サンプルから作製異常サンプルと正常サンプルとを特定した後において、該作製異常サンプルに対し、
前記式（１′）により、ＴＲＥＡＬnとＴＣＡＬnとの各波長における分光透過率の差を示す分光透過率を、調色サンプルｎのシミュレーション誤差ΔＴnと規定するとき、
下記式（２′）により、ΔＴabnとΔＴnor-aveとの各波長における分光透過率の差を示す分光透過率ΔＴ'abnを求め、該ΔＴ'abnを前記作製異常サンプルの作製異常分として特定することを特徴とするＣＣＭによる作製異常サンプル中の作製異常分の特定方法とすればよい。
ΔＴ'abn＝ΔＴabn−ΔＴnor-ave （２′）
（ΔＴabn：作製異常サンプルのシミュレーション誤差、ΔＴnor-ave：少なくとも１個の正常サンプルの各シミュレーション誤差ΔＴnorの、各波長における分光透過率の相加平均を示す分光反射率）
【００４４】
該分光透過率を用いる方法は、上記の分光反射率を用いる方法において、分光反射率を分光透過率に代える以外は同様である。
【００４５】
本発明に係る第１のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、作製異常サンプルの作製異常原因が、自己着色剤の種類は正常サンプルと一致しているが、自己着色剤の配合比率が作業工程上のトラブル等により変化したことにある場合に、高い精度で作製異常着色剤を特定できるものである。
【００４６】
該方法は、複数の調色サンプルから作製異常サンプルと正常サンプルとを特定した後において、該作製異常サンプルに対し行うものである。
【００４７】
本発明に係る第１のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法において、複数の調色サンプルから作製異常サンプルと正常サンプルとを特定する方法としては、特に限定されず、公知の方法や人間の視感で特定する方法等を用いることができる。
【００４８】
次に、前記作製異常サンプルの本来作製しようとした着色剤配合比率ＲＡＴ（ＲＣＡＬabn）からシミュレーション分光反射率ＲＣＡＬabnを算出するステップ (ra1)を行う。作製異常サンプルの着色剤配合比率ＲＡＴ（ＲＣＡＬabn）は、本来、作製しようとした配合であり、ＣＣＭ工程にて得られた配合でもよいし、視感調色工程で得られた配合でもよい。ＲＡＴ（ＲＣＡＬabn）を満たすシミュレーション分光反射率は、ＣＣＭ工程で保有されていればそれを使用し、視感調色サンプルの場合は新たにその配合をキーインしてＲＣＡＬabnを計算する。
【００４９】
次に、前記式（３）により、ＲＲＥＡＬabnとΔＲnor-aveとの各波長における分光反射率の差を示す分光反射率ＲＣＡＬ'abnを求めるステップ(ra2) を行う。
【００５０】
なお、前記式（３）は前記式（１）と同様に、測定波長域内の各波長において適用するものとする。すなわち、前記式（３）で表される数値は波長毎に得られる単一の数値であるが、本発明においては、測定波長域内の任意の波長で測定した複数の数値の集合体を表するものとする。例えば、ＲＲＥＡＬabnは波長−分光反射率座標のグラフに表すと、測定波長域内で測定した任意の波長の点数が多いと、折れ線グラフや図１のような曲線等に類似するものとなる。ただし、本発明においては、表色値等の計算に用いられるデータは、前記式（３）で算出される各波長のデータのみが用いられ、グラフに表された曲線や折れ線グラフ等に基づいて計算することは行わない。
【００５１】
本発明に係る第１のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法では、前記式（３）により、分光反射率ＲＣＡＬ'abnを求め、該ＲＣＡＬ'abnに基づいて、ステップ(ra3)以後の操作を行う。
【００５２】
このようにステップ(ra3)以後の操作で、着色剤配合比率の異常を求めるに当たり、分光反射率ＲＣＡＬ'abnを基準として用いることができる根拠は、以下の通りである。すなわち、まず、作製異常サンプルａｂｎの実測分光反射率ＲＲＥＡＬabnは、前記式（１）より下記式（１a）として表される。
ＲＲＥＡＬabn＝ＲＣＡＬabn＋ΔＲabn （１a）
【００５３】
該ΔＲabnは、前記式（２）より下記式（２a）として表されるように、ΔＲnor-aveに作製異常分ΔＲ'abnが加算されたものである。
ΔＲabn＝ΔＲ'abn＋ΔＲnor-ave （２a）
【００５４】
そこで、作製異常分ΔＲ'abnを顕在化するべく、式（１a）のΔＲabnに（２a）のΔＲabnを代入して、整理すると下記式（３a）のように表される。
ＲＣＡＬabn＋ΔＲ'abn＝ＲＲＥＡＬabn−ΔＲnor-ave （３a）
【００５５】
すなわち、式（３）のＲＣＡＬ'abnは、ＲＲＥＡＬabnから正常サンプルにも共通するシミュレーション誤差ΔＲnor-aveを除去することで作製異常分ΔＲ'abnを顕在化させるものである。このように該作製異常分ΔＲ'abnが顕在化させることにより、以後のステップで作製異常原因着色剤を特定することが可能になる。
【００５６】
次に、該ＲＣＡＬ'abnを略満たし、且つ、着色剤配合比率中の白着色剤の配合比率が前記ＲＡＴ（ＲＣＡＬabn）の白着色剤の配合比率と等しくなるように算出した白固定時着色剤配合比率ＲＡＴwh（ＲＣＡＬ'abn）を求めるステップ(ra3)を行う。具体的には、例えば、ＲＡＴ（ＲＣＡＬabn）において着色剤が白着色剤wh、黒着色剤bl、赤着色剤re及び貴着色剤yeの４種類であり、且つ、着色剤配合比率wh：bl：re：yeが１０：１０：１０：１０だとすると、ＲＡＴwh（ＲＣＡＬ'abn）では、wh：bl：re：yeを１０：１１：９：２０のように白着色剤whの着色剤配合比率を１０のまま固定して着色剤配合比率を求めるような操作をいう。
【００５７】
また、前記ＲＣＡＬ'abnを略満たし、且つ、着色剤配合比率中の黒着色剤の配合比率が前記ＲＡＴ（ＲＣＡＬabn）の黒着色剤の配合比率と等しくなるように算出した黒固定着色剤配合比率ＲＡＴbl（ＲＣＡＬ'abn）を求めるステップ(ra4) を行う。該ステップ(ra4)の内容は着色剤配合比率を固定する着色剤を白着色剤から黒着色剤に変えた以外はステップ(ra3)と同様である。なお、ステップ(ra3)とステップ(ra4)とは、いずれを先に行ってもよく、また、同時に行ってもよい。
【００５８】
次に、前記ＲＡＴ（ＲＣＡＬabn）に対する前記ＲＡＴwh（ＲＣＡＬ'abn）の着色剤配合比率の変化率を着色剤毎に算出して着色剤ｘの白固定時配合比変化率ΔＣＯＭxＲＡＴwh（ＲＣＡＬ'abn）を求めるステップ(ra5)を行う。具体的には、上記の例でいうと、例えば、ＲＡＴ（ＲＣＡＬabn）のwh：bl：re：yeが１０：１０：１０：１０で、ＲＡＴwh（ＲＣＡＬ'abn）のwh：bl：re：yeが１０：１１：９：１２である場合、着色剤whの白固定時配合比変化率ΔＣＯＭwhＲＡＴwh（ＲＣＡＬ'abn）は０％、着色剤blの白固定時配合比変化率ΔＣＯＭblＲＡＴwh（ＲＣＡＬ'abn）は１０％、着色剤reの白固定時配合比変化率ΔＣＯＭreＲＡＴwh（ＲＣＡＬ'abn）は−１０％、着色剤yeの白固定時配合比変化率ΔＣＯＭyeＲＡＴwh（ＲＣＡＬ'abn）は１００％と求められるような操作をいう。
【００５９】
次に、該ΔＣＯＭxＲＡＴwh（ＲＣＡＬ'abn）が他の着色剤に比べて異常値を示す着色剤を白固定時異常着色剤として特定するステップ(ra6)を行う。具体的には、例えば、ＣＯＭwhＲＡＴwh（ＲＣＡＬ'abn）が０％、ΔＣＯＭblＲＡＴwh（ＲＣＡＬ'abn）が１０％、着色剤reの白固定時配合比変化率ΔＣＯＭreＲＡＴwh（ＲＣＡＬ'abn）が−１０％、ΔＣＯＭyeＲＡＴwh（ＲＣＡＬ'abn）が１００％であると、ΔＣＯＭyeＲＡＴwh（ＲＣＡＬ'abn）の絶対値が他に比べて大きく異常値を示すため、着色剤yeを白固定時異常着色剤として特定するような操作や、ＣＯＭwhＲＡＴwh（ＲＣＡＬ'abn）が１００％、ΔＣＯＭblＲＡＴwh（ＲＣＡＬ'abn）が１１０％、着色剤reの白固定時配合比変化率ΔＣＯＭreＲＡＴwh（ＲＣＡＬ'abn）が１０％、ΔＣＯＭyeＲＡＴwh（ＲＣＡＬ'abn）が９０％であると、ΔＣＯＭreＲＡＴwh（ＲＣＡＬ'abn）の絶対値が他に比べて小さく異常値を示すため、着色剤reを白固定時異常着色剤として特定するような操作をいう。なお、ΔＣＯＭxＲＡＴwh（ＲＣＡＬ'abn）の異常性は絶対値の大小で判断するため、ΔＣＯＭxＲＡＴwh（ＲＣＡＬ'abn）の数値が負の値であっても、同様に判断する。
【００６０】
また、前記ＲＡＴ（ＲＣＡＬabn）に対する前記ＲＡＴbl（ＲＣＡＬ'abn）の着色剤配合比率の変化率を着色剤毎に算出して着色剤ｘの黒固定時配合比変化率ΔＣＯＭxＲＡＴbl（ＲＣＡＬ'abn）を求めるステップ(ra7)を行う。該ステップ(ra7)の内容は着色剤配合比率を固定する着色剤を白着色剤から黒着色剤に変えた以外はステップ(ra5)と同様である。なお、ステップ(ra5)とステップ(ra7)とは、いずれを先に行ってもよく、また、同時に行ってもよい。
【００６１】
次に、該ΔＣＯＭxＲＡＴbl（ＲＣＡＬ'abn）が他の着色剤に比べて異常値を示す着色剤を黒固定時異常着色剤として特定するステップ(ra8)を行う。該ステップ(ra8)の内容は着色剤配合比率を固定する着色剤を白着色剤から黒着色剤に変えた以外はステップ(ra6)と同様である。なお、ステップ(ra6)とステップ(ra8)とは、いずれを先に行ってもよく、また、同時に行ってもよい。
【００６２】
最後に、前記白固定時異常着色剤又は前記黒固定時異常着色剤のいずれか又は両方に該当する着色剤を、前記作製異常サンプルの作製異常原因の着色剤として特定するステップ(ra9)を行う。具体的には、上記の例でいうと、例えば白固定時異常着色剤及び黒固定時異常着色剤が共に着色剤yeである場合や、白固定時異常着色剤又は黒固定時異常着色剤のいずれかに該当する着色剤が着色剤yeである場合に、着色剤yeを作製異常サンプルの作製異常原因の着色剤として特定するような操作をいう。なお、白固定時異常着色剤又は黒固定時異常着色剤が、黄着色剤や赤着色剤のような有彩色である場合には白固定時異常着色剤又は黒固定時異常着色剤のいずれか一方を特定するだけで作製異常原因の着色剤として特定することが可能であるが、白着色剤や黒着色剤のような無彩色である場合には、白固定時異常着色剤及び黒固定時異常着色剤の両方に共通するものを作製異常原因の着色剤として特定する。
【００６３】
上記本発明に係る第１のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、作製異常サンプルの作製異常原因が、自己着色剤の種類は正常サンプルと一致しているが、自己着色剤の配合比率が作業工程上のトラブル等により変化したことにある場合に、高い精度で作製異常着色剤を特定できるものである。なお、本明細書において、自己着色剤とは正常サンプルに含まれる着色剤をいう。
【００６４】
なお、上記ＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、ＣＣＭソフト中に組込んで実行すると、調色作業中に即座に異常を判断できるため好ましい。
【００６５】
なお、本発明において、調色サンプルが透明な場合は、上記分光反射率に代えて、分光透過率を用いることが好ましい。具体的には、本発明に係る第１のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法を、複数の調色サンプルから作製異常サンプルと正常サンプルとを特定した後において、該作製異常サンプルに対し、
前記作製異常サンプルの本来作製しようとした着色剤配合比率ＲＡＴ（ＴＣＡＬabn）からシミュレーション分光反射率ＴＣＡＬabnを算出するステップ (ta1)、
前記式（３′）により、ＴＲＥＡＬabnとΔＴnor-aveとの各波長における分光透過率の差を示す分光透過率ＴＣＡＬ'abnを求めるステップ(ta2)、
該ＴＣＡＬ'abnを略満たし、且つ、着色剤配合比率中の白着色剤の配合比率が前記ＲＡＴ（ＴＣＡＬabn）の白着色剤の配合比率と等しくなるように算出した白固定時着色剤配合比率ＲＡＴwh（ＴＣＡＬ'abn）を求めるステップ(ta3)、
前記ＴＣＡＬ'abnを略満たし、且つ、着色剤配合比率中の黒着色剤の配合比率が前記ＲＡＴ（ＴＣＡＬabn）の黒着色剤の配合比率と等しくなるように算出した黒固定着色剤配合比率ＲＡＴbl（ＴＣＡＬ'abn）を求めるステップ(ta4)、
前記ＲＡＴ（ＴＣＡＬabn）に対する前記ＲＡＴwh（ＴＣＡＬ'abn）の着色剤配合比率の変化率を着色剤毎に算出して着色剤ｘの白固定時配合比変化率ΔＣＯＭxＲＡＴwh（ＴＣＡＬ'abn）を求めるステップ(ta5)、
該ΔＣＯＭxＲＡＴwh（ＴＣＡＬ'abn）が他の着色剤に比べて異常値を示す着色剤を白固定時異常着色剤として特定するステップ(ta6)、
前記ＲＡＴ（ＴＣＡＬabn）に対する前記ＲＡＴbl（ＴＣＡＬ'abn）の着色剤配合比率の変化率を着色剤毎に算出して着色剤ｘの黒固定時配合比変化率ΔＣＯＭxＲＡＴbl（ＴＣＡＬ'abn）を求めるステップ(ta7)、
該ΔＣＯＭxＲＡＴbl（ＴＣＡＬ'abn）が他の着色剤に比べて異常値を示す着色剤を黒固定時異常着色剤として特定するステップ(ta8)、及び、
前記白固定時異常着色剤又は前記黒固定時異常着色剤のいずれか又は両方に該当する着色剤を、前記作製異常サンプルの作製異常原因の着色剤として特定するステップ(ta9)を含む工程を行うことを特徴とするＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法とすればよい。該方法を本発明に係る第２のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法という。
【００６６】
本発明に係る第２のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、上記本発明に係る第１のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法において、分光反射率を分光透過率に代える以外は同様である。
【００６７】
本発明に係る第３のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、作製異常サンプルの作製異常原因が、特に自己着色剤の種類は正常サンプルと一致しているが、自己着色剤自体の発色安定性が着色剤の凝集等により損なわれている場合において、高い精度で作製異常着色剤を特定できるものである。
【００６８】
該方法は、複数の調色サンプルに対し行うものである。
【００６９】
本発明に係る第３のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法において、複数の調色サンプルから検定したいサンプルを特定する方法としては、特に限定されず、公知の方法や人間の視感で特定する方法等を用いることができる。
【００７０】
次に、前記式（１）により、ＲＲＥＡＬnとＲＣＡＬnとの各波長における分光反射率の差を示す分光反射率を、調色サンプルｎのシミュレーション誤差ΔＲnとして求めるステップ(rb1)を行う。
【００７１】
次に、前記式（４）により、調色サンプル中の任意の２個の調色サンプルｉと調色サンプルｊとの各波長における分光反射率の差を示す分光反射率ΔΔＲi-jを、全ての調色サンプルの組み合わせについて求めるステップ(rb2) を行い、
【００７２】
次に、前記ΔΔＲi-jのうち、大きいものから順に少なくとも１個選択したΔΔＲi-jをΔΔＲi-j.larとして求めるステップ(rb3)を行う。
【００７３】
前記ステップ(rb2)は、作製異常サンプルを含めた全ての調色サンプル間でシミュレーション誤差同士を差し引くことにより、作製異常サンプルがシミュレーション誤差中に含む作製異常分を顕在化させる操作である。そして、前記ステップ(rb3)は、顕在化した作製異常分のうち、特に顕在化した作製異常分を表すデータを抽出する操作である。
【００７４】
前記ステップ(rb2)及び(rb3)を行う理由は以下のとおりである。まず、着色剤のうち１種でも発色不安定なものが含まれていると、調色が適切に行われないため、通常は調色サンプルの略全部が作製異常サンプルａｂｎとなる。これら作製異常サンプルａｂｎは、前記式（２）を変形した下記式（２b）によりシミュレーション誤差ΔＲabn中に作製異常分ΔＲ'abnを含むものとなる。
ΔＲabn＝ΔＲnor-ave＋ΔＲ'abn （２b）
【００７５】
しかし、作製異常サンプルが数多く存在すると、通常ΔＲ'abnが作製異常サンプル毎に異なった値を有するため、式（２b）においてΔＲnor-aveが一定とみなし得る場合でないと、作製異常分ΔＲ'abnを特定することができない。しかし、上記のように着色剤のうち１種でも発色不安定なものがあると、調色サンプルの略全部が作製異常サンプルａｂｎとなり、正常サンプルの絶対数が作製異常サンプルよりもはるかに少ないため、前記式（２）におけるΔＲnor-aveを信頼し得る値として得ることができない。このため、前記式（２）により作製異常分ΔＲ'abnを特定することが実質的にできないため、前記式（２）以外の方法で作製異常分を特定する必要がある。
【００７６】
この点について、具体例として、調色サンプルａ、ｂ、ｃの３個が存在する場合を挙げて説明する。それぞれの作製異常サンプルのシミュレーション誤差ΔＲabn-a、ΔＲabn-b、ΔＲabn-cを、それぞれの作製異常サンプルの作製異常分ΔＲ'abn-a、ΔＲ'abn-b、ΔＲ'abn-cを含めて表すと次のようになる。
ΔＲabn-a＝ΔＲnor-ave＋ΔＲ'abn-a （２b-a）
ΔＲabn-b＝ΔＲnor-ave＋ΔＲ'abn-b （２b-b）
ΔＲabn-c＝ΔＲnor-ave＋ΔＲ'abn-c （２b-c）
【００７７】
ここでΔＲ'abn-a、ΔＲ'abn-b等の作製異常分とは、例えば、調色サンプルａの発色異常原因着色剤が赤着色剤reであれば、赤着色剤reに特有の波長域に現れる作製異常分がΔＲ'abn-aであり、調色サンプルｂの発色異常原因着色剤が黄着色剤yeであれば、黄着色剤yeに特有の波長域に現れる作製異常分がΔＲ'abn-bであるといったものである。
【００７８】
これら（２b-a）〜（２b-c）の式同士で左辺毎、右辺毎に差を採ると、下記式（２c）のようになる。
ΔＲabn-a−ΔＲabn-b＝ΔＲ'abn-a−ΔＲ'abn-b
ΔＲabn-b−ΔＲabn-c＝ΔＲ'abn-b−ΔＲ'abn-c
ΔＲabn-c−ΔＲabn-a＝ΔＲ'abn-c−ΔＲ'abn-a （２c）
ΔＲabn-b−ΔＲabn-a＝ΔＲ'abn-b−ΔＲ'abn-a
ΔＲabn-c−ΔＲabn-b＝ΔＲ'abn-c−ΔＲ'abn-b
ΔＲabn-a−ΔＲabn-c＝ΔＲ'abn-a−ΔＲ'abn-c
【００７９】
このように２個の調色サンプルのシミュレーション誤差ΔＲabn間で差を採ると、それぞれの式においてΔＲnor-aveが相殺され、上記ΔＲ'abn-a−ΔＲ'abn-b等のような２個の調色サンプルの作製異常分ΔＲ'abn同士の差のみが算出される。そして、この作製異常分ΔＲ'abn同士の差、すなわちシミュレーション誤差ΔＲabn同士の差は、２個の調色サンプル間における着色剤の発色異常による作製異常分の２個の分の差を示すものであるから、シミュレーション誤差ΔＲabn同士の差の値が大きい場合には、作製異常分が顕在化したものと推定できる。
【００８０】
例えば、調色サンプルａの発色異常原因着色剤が赤着色剤reでありその原因が発色過多によるものであり、且つ、調色サンプルｂの発色異常原因着色剤が赤着色剤reでありその原因が発色不十分によるものであれば、作製異常分の現れる波長域が同じであるため、赤着色剤re作製異常分の２個分が加重され、赤着色剤reの作製異常分が顕在化する。
【００８１】
また、調色サンプルａの発色異常原因着色剤が赤着色剤reで、調色サンプルｂの発色異常原因着色剤が黄着色剤yeであれば、作製異常分の現れる波長域が異なるため、ΔＲabn-a−ΔＲabn-bには、赤着色剤reの作製異常分及び黄着色剤yeの作製異常分が加重され、赤着色剤re及び黄着色剤yeの作製異常分が顕在化する。この様子は、波長−分光反射率のグラフに表すと、赤着色剤reの作製異常分の特定波長域に生ずる分光反射率曲線の山と黄着色剤yeの作製異常分の特定波長域に生ずる分光反射率曲線の山とが、異なる特定波長域に離れて又は一部重なって生じるようなものとなる。
【００８２】
このように、任意の調色サンプルｉと調色サンプルｊとで、前記式（４）で表される分光反射率｜ΔΔＲi-j｜を算出し、さらに｜ΔΔＲi-j｜が大きい値を採れば、作製異常分を顕在化させることができるため、さらに下記操作を行えば作製異常原因着色剤を特定できるものと推定できる。
【００８３】
次に、任意に選択される少なくとも１個の調色サンプルのシミュレーション分光反射率の各波長における分光反射率の相加平均を示す分光反射率ＲＣＡＬn-aveを求めるステップ(rb4)を行う。例えば、調色サンプルがａ、ｂ、ｃの３個あり、ＲＣＡＬaの波長λ1における値が５０％、波長λ2における値が５０％であり、ＲＣＡＬbの波長λ1における値が４０％、波長λ2における値が４０％であり、ＲＣＡＬcの波長λ1における値が３０％、波長λ2における値が６０％であるとすると、ＲＣＡＬn-aveは、ＲＣＡＬa、ＲＣＡＬb、ＲＣＡＬcのそれぞれの値そのものでもよく、また、ＲＣＡＬa、ＲＣＡＬb、ＲＣＡＬc全ての相加平均をとれば、波長λ1における値が４０％、波長λ2における値が５０％となる。ＲＣＡＬn-aveは、以下のステップにおいて、ΔΔＲi-j.larを加えた値のベースとなるにすぎず、すなわち、ＲＣＡＬn-aveは現実的な調色サンプルの分光反射率等のデータを持つものであればよいため、少なくとも１個の調色サンプルについての相加平均値をとればよい。
【００８４】
次に、前記式（５）により、前記ＲＣＡＬn-aveと前記ΔΔＲi-j. larとの各波長における分光反射率の和を示す分光反射率ＲＣＡＬ^*+n-aveを求めるステップ(rb5)を行う。
【００８５】
該ステップ(rb5)は、シミュレーション誤差の差分ΔΔＲi-j.larを調色サンプルとして一応現実的なＬ^*ａ^*ｂ^*を有するＲＣＡＬn-aveに加えて作製異常分が加重されたＲＣＡＬ^*+n-aveを得、該ＲＣＡＬ^*+n-aveでＣＣＭにて着色剤配合比率を算出することにより、作製異常分が加重された着色剤配合比率を得るものである。
【００８６】
次に、前記ＲＣＡＬn-aveを満たす着色剤配合比率ＲＡＴ（ＲＣＡＬn-ave）を求めるステップ(rb6)を行う。該ステップ(rb6)は、少なくとも１個の正常サンプルの着色剤配合比率の平均からシミュレーション分光反射率ＲＣＡＬn-aveを算出するステップである。
【００８７】
次に、前記ＲＣＡＬ^*+n-aveを略満たし、且つ、着色剤配合比率中の白着色剤の配合比率が前記ＲＡＴ（ＲＣＡＬn-ave）の白着色剤の配合比率と等しくなるように算出した白固定時着色剤配合比率ＲＡＴwh（ＲＣＡＬ^*+n-ave）を求めるステップ(rb7)を行う。このステップにおける操作は、前記ステップ(ra3)と同様である。
【００８８】
また、前記ＲＣＡＬ^*+n-aveを略満たし、且つ、着色剤配合比率中の黒着色剤の配合比率が前記ＲＡＴ（ＲＣＡＬn-ave）の黒着色剤の配合比率と等しくなるように算出した黒固定時着色剤配合比率ＲＡＴbl（ＲＣＡＬ^*+n-ave）を求めるステップ(rb8) を行う。該ステップ(rb8)の内容は着色剤配合比率を固定する着色剤を白着色剤から黒着色剤に変えた以外はステップ(rb7)と同様である。なお、ステップ(rb7)とステップ(rb8)とは、いずれを先に行ってもよく、また、同時に行ってもよい。
【００８９】
次に、前記ＲＡＴ（ＲＣＡＬn-ave）に対する前記ＲＡＴwh（ＲＣＡＬ^*+n-ave）の着色剤配合比率の変化率を着色剤毎に算出して着色剤ｘの白固定時配合比変化率ΔＣＯＭxＲＡＴwh（ＲＣＡＬ^*+n-ave）を求めるステップ(rb9) を行う。このステップにおける操作は、前記ステップ(ra5)と同様である。
【００９０】
次に、該ΔＣＯＭxＲＡＴwh（ＲＣＡＬ^*+n-ave）が他の着色剤に比べて異常値を示す着色剤を白固定時異常着色剤として特定するステップ(rb10) を行う。このステップにおける操作は、前記ステップ(ra6)と同様である。
前記ＲＡＴ（ＲＣＡＬn-ave）に対する前記ＲＡＴbl（ＲＣＡＬ^*+n-ave）の着色剤配合比率の変化率を着色剤毎に算出して着色剤ｘの黒固定時配合比変化率ΔＣＯＭxＲＡＴbl（ＲＣＡＬ^*+n-ave）を求めるステップ(rb11)を行う。このステップにおける操作は、前記ステップ(ra7)と同様である。
【００９１】
次に、該ΔＣＯＭxＲＡＴbl（ＲＣＡＬ^*+n-ave）が他の着色剤に比べて異常値を示す着色剤を黒固定時異常着色剤として特定するステップ(rb12) を行う。このステップにおける操作は、前記ステップ(ra8)と同様である。
【００９２】
最後に、前記白固定時異常着色剤又は前記黒固定時異常着色剤のいずれか又は両方に該当する着色剤を、作製異常サンプルの作製異常原因の着色剤として特定するステップ(rb13) を行う。このステップにおける操作は、前記ステップ(ra9)と同様である。
【００９３】
上記本発明に係る第３のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、作製異常サンプルの作製異常原因が、自己着色剤の種類は正常サンプルと一致しているが、自己着色剤自体の発色安定性が着色剤の凝集等により損なわれている場合に、高い精度で作製異常着色剤を特定できるものである。なお、本発明に係る第３のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、このような場合にのみ効果を有するものではなく、作製異常サンプルの作製異常原因が、自己着色剤の種類は正常サンプルと一致しているが、自己着色剤の配合比率が作業工程上のトラブル等により変化したことにある場合、及び、作製異常サンプルの作製異常原因が、特に自己着色剤以外の着色剤が混入されている場合においても同様の効果を奏するものである。
【００９４】
なお、上記ＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、ＣＣＭソフト中に組込んで実行すると、調色作業中に即座に異常を判断できるため好ましい。
【００９５】
なお、本発明において、調色サンプルが透明な場合は、上記分光反射率に代えて、分光透過率を用いることが好ましい。具体的には、本発明に係る第３のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法を、複数の調色サンプルに対し、
前記式（１′）により、ＴＲＥＡＬnとＴＣＡＬnとの各波長における分光透過率の差を示す分光透過率を、調色サンプルｎのシミュレーション誤差ΔＴnとして求めるステップ(tb1)、
前記式（４′）により、調色サンプル中の任意の２個の調色サンプルｉと調色サンプルｊとの各波長における分光透過率の差を示す分光透過率ΔΔＴi-jを、全ての調色サンプルの組み合わせについて求めるステップ(tb2)、
前記ΔΔＴi-jのうち、大きいものから順に少なくとも１個選択したΔΔＴi-jをΔΔＴi-j.larとして求めるステップ(tb3)、
任意に選択される少なくとも１個の調色サンプルのシミュレーション分光透過率の各波長における分光透過率の相加平均を示す分光透過率ＴＣＡＬn-aveを求めるステップ(tb4)、
前記式（５′）により、前記ＴＣＡＬn-aveと前記ΔΔＴi-j. larとの各波長における分光透過率の和を示す分光透過率ＴＣＡＬ^*+n-aveを求めるステップ(tb5)、
前記ＴＣＡＬn-aveを満たす着色剤配合比率ＲＡＴ（ＴＣＡＬn-ave）を求めるステップ(tb6)、
前記ＴＣＡＬ^*+n-aveを略満たし、且つ、着色剤配合比率中の白着色剤の配合比率が前記ＲＡＴ（ＴＣＡＬn-ave）の白着色剤の配合比率と等しくなるように算出した白固定時着色剤配合比率ＲＡＴwh（ＴＣＡＬ^*+n-ave）を求めるステップ(tb7)、
前記ＴＣＡＬ^*+n-aveを略満たし、且つ、着色剤配合比率中の黒着色剤の配合比率が前記ＲＡＴ（ＴＣＡＬn-ave）の黒着色剤の配合比率と等しくなるように算出した黒固定時着色剤配合比率ＲＡＴbl（ＴＣＡＬ^*+n-ave）を求めるステップ(tb8)、
前記ＲＡＴ（ＴＣＡＬn-ave）に対する前記ＲＡＴwh（ＴＣＡＬ^*+n-ave）の着色剤配合比率の変化率を着色剤毎に算出して着色剤ｘの白固定時配合比変化率ΔＣＯＭxＲＡＴwh（ＴＣＡＬ^*+n-ave）を求めるステップ(tb9)、
該ΔＣＯＭxＲＡＴwh（ＴＣＡＬ^*+n-ave）が他の着色剤に比べて異常値を示す着色剤を白固定時異常着色剤として特定するステップ(tb10)、
前記ＲＡＴ（ＴＣＡＬn-ave）に対する前記ＲＡＴbl（ＴＣＡＬ^*+n-ave）の着色剤配合比率の変化率を着色剤毎に算出して着色剤ｘの黒固定時配合比変化率ΔＣＯＭxＲＡＴbl（ＴＣＡＬ^*+n-ave）を求めるステップ(tb11)、
該ΔＣＯＭxＲＡＴbl（ＴＣＡＬ^*+n-ave）が他の着色剤に比べて異常値を示す着色剤を黒固定時異常着色剤として特定するステップ(tb12)、及び、
前記白固定時異常着色剤又は前記黒固定時異常着色剤のいずれか又は両方に該当する着色剤を、作製異常サンプルの作製異常原因の着色剤として特定するステップ(tb13)を含む工程を行うことを特徴とするＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法とすればよい。該方法を本発明に係る第４のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法という。
【００９６】
本発明に係る第４のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、上記本発明に係る第３のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法において、分光反射率を分光透過率に代える以外は同様である。
【００９７】
本発明に係る第５のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、作製異常サンプルの作製異常原因が、自己着色剤の種類は正常サンプルと一致しているが、自己着色剤自体の発色安定性が着色剤の凝集等により損なわれている場合において、高い精度で作製異常着色剤を特定できるものである。すなわち、本発明に係る第５のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、本発明に係る第３のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法と同様の場合において、高い精度で作製異常着色剤を特定できるものである。
【００９８】
本発明に係る第５のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、ステップ(rc5)において、本発明に係る第３のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法のステップ(rb5)で前記式（５）を用いてＲＣＡＬ^*+n-aveを得る代わりに、前記式（６）を用いてＲＣＡＬ^*-n-aveを得る以外は、同様の操作を行うものであり、また、ステップ(rc6)以後のステップにおいて、本発明に係る第３のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法のステップ(rb6) 以後のステップで用いるＲＣＡＬ^*+n-aveに代えて、ＲＣＡＬ^*-n-aveを用いる以外は、同様のステップを有するものである。
【００９９】
該方法は、複数の調色サンプルに対し行うものである。
【０１００】
本発明に係る第５のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法において、複数の調色サンプルから検定したいサンプルを特定する方法としては、特に限定されず、公知の方法や人間の視感で特定する方法等を用いることができる。
【０１０１】
次に、前記式（１）により、ＲＲＥＡＬnとＲＣＡＬnとの各波長における分光反射率の差を示す分光反射率を、調色サンプルｎのシミュレーション誤差ΔＲnとして求めるステップ(rc1) を行う。該ステップ(rc1)は、前記ステップ(rb1)と全く同じ操作である。
【０１０２】
次に、前記式（４）により、調色サンプル中の任意の２個の調色サンプルｉと調色サンプルｊとの各波長における分光反射率の差を示す分光反射率ΔΔＲi-jを、全ての調色サンプルの組み合わせについて求めるステップ(rc2) を行い、
【０１０３】
次に、前記ΔΔＲi-jのうち、大きいものから順に少なくとも１個選択したΔΔＲi-jをΔΔＲi-j.larとして求めるステップ(rc3) を行う。ステップ(rc2)は、前記ステップ(rb2)と全く同じ操作であり、該ステップ(rc3)は、前記ステップ(rb3)と全く同じ操作である。
【０１０４】
次に、任意に選択される少なくとも１個の調色サンプルのシミュレーション分光反射率の各波長における分光反射率の相加平均を示す分光反射率ＲＣＡＬn-aveを求めるステップ(rc4) を行う。該ステップ(rc4)は、前記ステップ(rb4)と全く同じ操作である。
【０１０５】
次に、前記式（６）により、前記ＲＣＡＬn-aveと前記ΔΔＲi-j. larとの各波長における分光反射率の差を示す分光反射率ＲＣＡＬ^*-n-aveを求めるステップ(rc5) を行う。
該ステップ(rc5)は、前記ステップ(rb5) において、前記式（５）を用いてＲＣＡＬ^*+n-aveを得る代わりに、ステップ(rc5)において前記式（６）を用いてＲＣＡＬ^*-n-aveを得る以外は、実質的に同様の操作を行うものである。
【０１０６】
該ステップ(rc5)は、シミュレーション誤差の差分ΔΔＲi-j.larを調色サンプルとして一応現実的なＬ^*ａ^*ｂ^*を有するＲＣＡＬn-aveから減じて作製異常分がマイナス方向に加重されたＲＣＡＬ^*-n-aveを得、該ＲＣＡＬ^*-n-aveでＣＣＭシミュレーションすることにより、作製異常分がマイナス方向に加重された分光反射率等のデータを得るものである。このようにΔΔＲi-j.larをＲＣＡＬn-aveから減じる理由は、前記ステップ(rb5)で述べたのと同様であり、非現実的なＬ^*ａ^*ｂ^*を有するΔΔＲi-j.larの値のみでＣＣＭシミュレーションすると、ＣＣＭシミュレーションの結果が現実的な調色サンプルの分光反射率等のデータから大きく逸脱してしまうからである。
【０１０７】
次に、前記ＲＣＡＬn-aveを満たす着色剤配合比率ＲＡＴ（ＲＣＡＬn-ave）を求めるステップ(rc6) を行う。該ステップ(rc6)は、前記ステップ(rb6)と全く同じ操作である。
【０１０８】
次に、前記ＲＣＡＬ^*-n-aveを略満たし、且つ、着色剤配合比率中の白着色剤の配合比率が前記ＲＡＴ（ＲＣＡＬn-ave）の白着色剤の配合比率と等しくなるように算出した白固定時着色剤配合比率ＲＡＴwh（ＲＣＡＬ^*-n-ave）を求めるステップ(rc7) を行う。該ステップ(rc7)は、ＲＣＡＬ^*+n-aveに代えてＲＣＡＬ^*-n-aveを用いる以外は前記ステップ(rb7)と同様である。
【０１０９】
また、前記ＲＣＡＬ^*-n-aveを略満たし、且つ、着色剤配合比率中の黒着色剤の配合比率が前記ＲＡＴ（ＲＣＡＬn-ave）の黒着色剤の配合比率と等しくなるように算出した黒固定時着色剤配合比率ＲＡＴbl（ＲＣＡＬ^*-n-ave）を求めるステップ(rc8) を行う。該ステップ(rc8)は、ＲＣＡＬ^*+n-aveに代えてＲＣＡＬ^*-n-aveを用いる以外は前記ステップ(rb8)と同様である。なお、ステップ(rc7)とステップ(rc8)とは、いずれを先に行ってもよく、また、同時に行ってもよい。
【０１１０】
次に、前記ＲＡＴ（ＲＣＡＬn-ave）に対する前記ＲＡＴwh（ＲＣＡＬ^*-n-ave）の着色剤配合比率の変化率を着色剤毎に算出して着色剤ｘの白固定時配合比変化率ΔＣＯＭxＲＡＴwh（ＲＣＡＬ^*-n-ave）を求めるステップ(rc9) を行う。該ステップ(rc9)は、ＲＡＴwh（ＲＣＡＬ^*+n-ave）に代えてＲＡＴwh（ＲＣＡＬ^*-n-ave）を用いる以外は前記ステップ(rb9)と同様である。
【０１１１】
該ΔＣＯＭxＲＡＴwh（ＲＣＡＬ^*-n-ave）が他の着色剤に比べて異常値を示す着色剤を白固定時異常着色剤として特定するステップ(rc10) を行う。該ステップ(rc10)は、ΔＣＯＭxＲＡＴwh（ＲＣＡＬ^*+n-ave）に代えてΔＣＯＭxＲＡＴwh（ＲＣＡＬ^*-n-ave）を用いる以外は前記ステップ(rb10)と同様である。
【０１１２】
前記ＲＡＴ（ＲＣＡＬn-ave）に対する前記ＲＡＴbl（ＲＣＡＬ^*-n-ave）の着色剤配合比率の変化率を着色剤毎に算出して着色剤ｘの黒固定時配合比変化率ΔＣＯＭxＲＡＴbl（ＲＣＡＬ^*-n-ave）を求めるステップ(rc11) を行う。該ステップ(rc11)は、ΔＣＯＭxＲＡＴbl（ＲＣＡＬ^*+n-ave）に代えてΔＣＯＭxＲＡＴbl（ＲＣＡＬ^*-n-ave）を用いる以外は前記ステップ(rb11)と同様である。
【０１１３】
次に、該ΔＣＯＭxＲＡＴbl（ＲＣＡＬ^*-n-ave）が他の着色剤に比べて異常値を示す着色剤を黒固定時異常着色剤として特定するステップ(rc12) を行う。該ステップ(rc12)は、ΔＣＯＭxＲＡＴbl（ＲＣＡＬ^*+n-ave）に代えてΔＣＯＭxＲＡＴbl（ＲＣＡＬ^*-n-ave）を用いる以外は前記ステップ(rb12)と同様である。
【０１１４】
最後に、前記白固定時異常着色剤又は前記黒固定時異常着色剤のいずれか又は両方に該当する着色剤を、作製異常サンプルの作製異常原因の着色剤として特定するステップ(rc13) を行う。
【０１１５】
上記本発明に係る第５のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、作製異常サンプルの作製異常原因が、自己着色剤の種類は正常サンプルと一致しているが、自己着色剤自体の発色安定性が着色剤の凝集等により損なわれている場合に、高い精度で作製異常着色剤を特定できるものである。なお、本発明に係る第５のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、このような場合にのみ効果を有するものではなく、作製異常サンプルの作製異常原因が、自己着色剤の種類は正常サンプルと一致しているが、自己着色剤の配合比率が作業工程上のトラブル等により変化したことにある場合、及び、作製異常サンプルの作製異常原因が、特に自己着色剤以外の着色剤が混入されている場合においても同様の効果を奏するものである。
【０１１６】
なお、上記ＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、ＣＣＭソフト中に組込んで実行すると、調色作業中に即座に異常を判断できるため好ましい。
【０１１７】
なお、本発明において、調色サンプルが透明な場合は、上記分光反射率に代えて、分光透過率を用いることが好ましい。具体的には、本発明に係る第５のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法を、複数の調色サンプルに対し、
前記式（１′）により、ＴＲＥＡＬnとＴＣＡＬnとの各波長における分光透過率の差を示す分光透過率を、調色サンプルｎのシミュレーション誤差ΔＴnとして求めるステップ(tc1)、
前記式（４′）により、調色サンプル中の任意の２個の調色サンプルｉと調色サンプルｊとの各波長における分光透過率の差を示す分光透過率ΔΔＴi-jを、全ての調色サンプルの組み合わせについて求めるステップ(tc2)、
前記ΔΔＴi-jのうち、大きいものから順に少なくとも１個選択したΔΔＴi-jをΔΔＴi-j.larとして求めるステップ(tc3)、
任意に選択される少なくとも１個の調色サンプルのシミュレーション分光透過率の各波長における分光透過率の相加平均を示す分光透過率ＴＣＡＬn-aveを求めるステップ(tc4)、
前記式（６′）により、前記ＴＣＡＬn-aveと前記ΔΔＴi-j. larとの各波長における分光透過率の差を示す分光透過率ＴＣＡＬ^*-n-aveを求めるステップ(tc5)、
前記ＴＣＡＬn-aveを満たす着色剤配合比率ＲＡＴ（ＴＣＡＬn-ave）を求めるステップ(tc6)、
前記ＴＣＡＬ^*-n-aveを略満たし、且つ、着色剤配合比率中の白着色剤の配合比率が前記ＲＡＴ（ＴＣＡＬn-ave）の白着色剤の配合比率と等しくなるように算出した白固定時着色剤配合比率ＲＡＴwh（ＴＣＡＬ^*-n-ave）を求めるステップ(tc7)、
前記ＴＣＡＬ^*-n-aveを略満たし、且つ、着色剤配合比率中の黒着色剤の配合比率が前記ＲＡＴ（ＴＣＡＬn-ave）の黒着色剤の配合比率と等しくなるように算出した黒固定時着色剤配合比率ＲＡＴbl（ＴＣＡＬ^*-n-ave）を求めるステップ(tc8)、
前記ＲＡＴ（ＴＣＡＬn-ave）に対する前記ＲＡＴwh（ＴＣＡＬ^*-n-ave）の着色剤配合比率の変化率を着色剤毎に算出して着色剤ｘの白固定時配合比変化率ΔＣＯＭxＲＡＴwh（ＴＣＡＬ^*-n-ave）を求めるステップ(tc9)、
該ΔＣＯＭxＲＡＴwh（ＴＣＡＬ^*-n-ave）が他の着色剤に比べて異常値を示す着色剤を白固定時異常着色剤として特定するステップ(tc10)、
前記ＲＡＴ（ＴＣＡＬn-ave）に対する前記ＲＡＴbl（ＴＣＡＬ^*-n-ave）の着色剤配合比率の変化率を着色剤毎に算出して着色剤ｘの黒固定時配合比変化率ΔＣＯＭxＲＡＴbl（ＴＣＡＬ^*-n-ave）を求めるステップ(tc11)、
該ΔＣＯＭxＲＡＴbl（ＴＣＡＬ^*-n-ave）が他の着色剤に比べて異常値を示す着色剤を黒固定時異常着色剤として特定するステップ(tc12)、及び、
前記白固定時異常着色剤又は前記黒固定時異常着色剤のいずれか又は両方に該当する着色剤を、作製異常サンプルの作製異常原因の着色剤として特定するステップ(tc13)を含む工程を行うことを特徴とするＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法とすればよい。該方法を本発明に係る第６のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法という。
【０１１８】
本発明に係る第６のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、上記本発明に係る第５のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法において、分光反射率を分光透過率に代える以外は同様である。
【０１１９】
本発明に係る第７のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、作製異常サンプルの作製異常原因が、特に自己着色剤以外の着色剤が混入されている場合において、高い精度で作製異常着色剤を特定できるものである。
【０１２０】
該方法は、複数の調色サンプルから作製異常サンプルと正常サンプルとを特定した後において、該作製異常サンプルに対し行うものである。
【０１２１】
本発明に係る第７のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法において、複数の調色サンプルから作製異常サンプルと正常サンプルとを特定する方法としては、特に限定されず、公知の方法や人間の視感で特定する方法等を用いることができる。
【０１２２】
次に、前記式（３）により、ＲＲＥＡＬabnとΔＲnor-aveとの各波長における分光反射率の差を示す分光反射率ＲＣＡＬ'abnを求めるステップ(rd1)を行う。
【０１２３】
次に、前記ＲＣＡＬ'abnから計算された三刺激値ＸＹＺをターゲットとして計算されたシミュレーション分光反射率ＲＣＡＬqを、正常サンプルの調色に用いられる自己着色剤のみでＣＣＭシミュレーションして算出したものと、該自己着色剤にＣＣＭシステムのデータベース内にある着色剤１種類を加えてＣＣＭシミュレーションして算出したもの複数個とを求めるステップ(rd2) を行う。
【０１２４】
次に、前記ＲＣＡＬqと前記ＲＣＡＬ'abnとの、各波長における分光反射率の差の絶対値の測定波長域全体に渡る総和を示すＲＳＤＩＦqを各ＲＣＡＬqについて求めるステップ(rd3) を行う。
【０１２５】
次に、全てのＲＣＡＬqのうち前記ＲＳＤＩＦqが最小値になるものをＲＣＡＬq-minとして特定するステップ(rd4) を行う。
【０１２６】
次に、該ＲＣＡＬq-min中に含まれる着色剤の種類から前記自己着色剤を除いた残りの着色剤を、前記作製異常サンプルの作製異常原因の着色剤として特定するステップ(rd5) を行う。
【０１２７】
なお、上記ＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、ＣＣＭソフト中に組込んで実行すると、調色作業中に即座に異常を判断できるため好ましい。
【０１２８】
なお、本発明において、調色サンプルが透明な場合は、上記分光反射率に代えて、分光透過率を用いることが好ましい。具体的には、本発明に係る第７のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法を、複数の調色サンプルから作製異常サンプルと正常サンプルとを特定した後において、該作製異常サンプルに対し、
前記式（３′）により、ＴＲＥＡＬabnとΔＴnor-aveとの各波長における分光透過率の差を示す分光透過率ＴＣＡＬ'abnを求めるステップ(td1)、
前記ＴＣＡＬ'abnから計算された三刺激値ＸＹＺをターゲットとして計算されたシミュレーション分光透過率ＴＣＡＬqを、正常サンプルの調色に用いられる自己着色剤のみでＣＣＭシミュレーションして算出したものと、該自己着色剤にＣＣＭシステムのデータベース内にある着色剤１種類を加えてＣＣＭシミュレーションして算出したもの複数個とを求めるステップ(td2)、
前記ＴＣＡＬqと前記ＴＣＡＬ'abnとの、各波長における分光透過率の差の絶対値の測定波長域全体に渡る総和を示すＴＳＤＩＦqを各ＴＣＡＬqについて求めるステップ(td3)、
全てのＴＣＡＬqのうち前記ＴＳＤＩＦqが最小値になるものをＴＣＡＬq-minとして特定するステップ(td4)、及び、
該ＴＣＡＬq-min中に含まれる着色剤の種類から前記自己着色剤を除いた残りの着色剤を、前記作製異常サンプルの作製異常原因の着色剤として特定するステップ(td5)を含む工程を行うことを特徴とするＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法とすればよい。該方法を本発明に係る第８のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法という。
【０１２９】
本発明に係る第８のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法は、上記本発明に係る第７のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法において、分光反射率を分光透過率に代える以外は同様である。
【０１３０】
本発明は、ＣＣＭや視感調色作業において、作製異常サンプル中の作製異常原因着色剤の特定作業に用いることができる。
【０１３１】
【実施例】
以下、実施例によって本発明を更に詳細に説明するが、本発明はこれらの実施例のみに限定されるものでない。
【０１３２】
実施例１
［作製再現性の推定方法］
図１(a)〜(h)に、調色サンプルの実測の分光反射率とシミュレーション分光反射率および両者の差ΔＲ-ｎを表示し、調色過程において２回目の調色サンプルに異常があった場合の例を概念的に示す。横軸は可視光の波長範囲を、左側グラフの縦軸は分光反射率を、右側グラフの縦軸は分光反射率差を表す。また、左側グラフの点線は実測分光反射率RREAL-nを、実線はシミュレーション分光反射率RCAL-nを示す。ただし、このグラフでは両者の差が比較しずらいので、右側グラフにRCAL-nを基準にRREAL-nとの差ΔＲ-nを示した。なお、見やすく表示するために縦軸を５倍にして表示した。
ΔＲ-n＝RREAL-n−RCAL-n （３５）
【０１３３】
図１(a)〜(h)の個別の表示を一つにまとめて図２(a)〜(b)に示した。図２(b)から明らかなように１、３，４回目の調色サンプルのΔＲはほぼ同じ値になっているが２回目の調色サンプルのΔＲは他と異なっており、作製過程における異常サンプル（以下、作製異常サンプルと記す）であり、このΔＲの異なりから異常として摘出が可能となる。異常と判断されたサンプルのRCAL-abn（サフィックスを-abnとして示す）に対するRREAL-abnの差ΔＲ-abnには異常分とシミュレーション誤差が含まれているので、シミュレーション誤差を取り除けば異常分が抽出できることになる。異常分の抽出方法の概念を図３(a)〜(c)に示す。異常分の抽出方法の計算手順▲１▼▲２▼▲３▼▲４▼を以下に記し、手順▲１▼▲２▼▲３▼で得られた分光反射率を図３(b)の▲１▼▲２▼▲３▼に示し、手順▲４▼で得られた分光反射率差を図３(c)の▲４▼に示した。横軸、縦軸は図１(a)〜(h)と同じである。左側上段は、図２で正常と判断された調色サンプルのΔＲ-nの平均ΔＲ-aveを表す。計算手順は、▲１▼作製異常サンプルの実測分光反射率RREAL-abnを測定する。▲２▼作製しようとした着色剤の比率からシミュレーション分光反射率RCAL-abnを計算する。▲３▼異常として摘出されたもの以外の調色サンプル（作製再現性が良いと認識された調色サンプル）のシミュレーション誤差ΔＲ-nの平均値ΔＲ-aveを算出し、▲２▼で求めたRCAL-abnにΔＲ-aveを加えたRREAL’-abnを計算する。つまり、RREAL’-abnはサンプルが正しく作製されたと仮定した時の実測分光反射率を意味する。▲４▼RREAL’-abnと実測分光反射率RREAL-abnとの差が異常分として抽出される。
RREAL’-abn＝RCAL-abn＋ΔＲ-ave （３６）
ここで、ΔＲ-ave＝（１／ｎ）Σ（RREAL-n−RCAL-n ）
ただし、ΔＲ-aveの算出にあたってRREAL-abnの測定値は除く。
【０１３４】
作製異常サンプルの異常分ΔＲ’-abnは式（３７）で表される。
ΔＲ’-abn ＝RREAL-abn − RREAL’-abn （３７）
【０１３５】
［サンプルの作製と測定］
ターゲットＳに対し、色相(H)、明度(V)、彩度(C)の三属性の一つがΔＥ^*＝２程度＋側に変化したサンプルは調色サンプルを想定したものであり、三属性の成分が複合された実際の調色サンプルはこの色の範囲に包含される。Ｓはこれから作製しようとするサンプルに相当する。今Ｓを作製しようとして作製異常サンプルができてしまったことを想定し、使用されている着色剤（以下自己着色剤と表示する）の比率が変化した作製異常サンプルとしてＳ配合の一つの着色剤の量を増減させ、ＳとのΔＥ^*が１程度のサンプルを作製した。また、異質の着色剤が混入した作製異常サンプルとして自己着色剤と異なる４種類の着色剤のうち１種類を追加し、ＳとのΔＥ^*が１程度のサンプルを作製した。調色サンプル、作製異常サンプルの配合はＣＣＭシステムにてサンプルＳからの補正計算にて算出した。
【０１３６】
作製したサンプルの着色剤配合を表１に、表色値と色差を表２に示す。表１中の単位は、重量部である。表２のΔＥ^*欄に示されるように、調色サンプルを想定したサンプルH+，V+、C+はΔＥ^*が２程度、自己着色剤の量が増減した作製異常を想定したサンプル+4172，-4172、+4420、-4420、+4050、-4050、+4710、-4710はΔＥ^*が１程度、表２の異質の着色剤が混入された作製異常を想定したサンプル+4510、+4170、+4157、+4440、+4467はΔＥ^*が１程度のものが作製されていることがわかる。
【０１３７】
更に、式(６)のΔＲ-aveは先に作製した調色サンプルH+，V+、C+のシミュレーション誤差ΔＲの平均を使用するので、サンプル作製の期間差の影響を検討した。表３に調色サンプルH+，V+、C+の実測分光反射率RREALとシミュレーション反射率RCALから計算されたΔＬ^*、Δａ^*、Δｂ^*の平均からの偏差の色差を計算し、その値をΔΔＥ^*欄に記した。表４に試験サンプルのシミュレーション誤差ΔＬ^*、Δａ^*、Δｂ^*の平均からの偏差の色差を計算してΔΔＥ^*欄に記した。表４のΔΔＥ^*欄から分かるように、その色差は十分小さく作製誤差は極めて小さいことを確認した。
【０１３８】
次に、表３に示される調色サンプルのΔＬ^*、Δａ^*、Δｂ^*の平均と表４の試験サンプルのΔＬ^*、Δａ^*、Δｂ^*の平均の差を色差計算し表５のΔΔＥ^*欄に記した。表５のΔΔＥ^*の値が検定しようとしている試験サンプルの色差１に比べ十分小さいことが分かったので、シミュレーション誤差ΔＲ-aveは先に作製した調色サンプルH+，V+、C+のシミュレーション誤差ΔＲの平均を採用しても差し支えないことを確認した。
【０１３９】
［摘出された作成異常サンプルの異常原因の特定］
ここでの試験、検討は計量間違いなどで調色サンプルの中から異常品が摘出され、その異常品の原因となった着色剤を特定することを想定している。調色作業者に異常品を警告するだけでなく、その異常原因を知らせることは警告の確実さを知らせることにもなる。また、調色サンプルと生産品の間に発色の差があった場合、試験サンプルとして生産品を加えることにより、どの着色剤が変化したかを特定することにも応用できる。ポイントは白着色剤、黒着色剤の増減が判別できるか否かである。つまり、白着色剤が増加した場合と黒着色剤が減少した場合ではどちらも反射率は増加することとなり、逆に白着色剤の減少と黒着色剤の増加はどちらも反射率は減少し、どちらの着色剤が原因であったかを判別するのは難しいからである。図４に自己着色剤の白着色剤EP-4050、黒着色剤P-4710及び有彩色の赤着色剤P-4172、黄着色剤P-4420の分光反射率を示す。有彩色着色剤の分光反射率は、その重量％の比率が５：９５(有彩色着色剤：白着色剤)のものである。図５(a)〜(b)に示されるように、調色サンプルのシミュレーション分光反射率RCAL-nに対する実測分光反射率RREAL-nの差ΔＲ-nから異常品の摘出が可能である。図５(a)〜(b)に示されるように正常に作製された調色サンプルH+、V+、C+の波長ごとのΔＲ-nは、ほぼ同じ値を持つことから重なり合っているが、作製異常サンプル+4510、+4172、-4172のΔＲ-abnは異常分が加味されるので、正常に作製された調色サンプルのΔＲ-nの重なりから逸脱していることがわかる。このΔＲ-abnには本来のシミュレーション誤差ΔＲと異常分ΔＲ’-abnが複合されたものなので、シミュレーション誤差ΔＲを除去する必要がある。除去するシミュレーション誤差ΔＲには正常サンプルH+、V+、C+のΔＲの平均ΔＲ-aveを用い、作製異常サンプルのΔＲ-abnからΔＲ-aveを除去した分光反射率差を図６(a)〜(d)の縦軸にΔΔＲとして表示した。ΔＲ-abnの計算に用いるシミュレーション反射率RCAL-abnは本来作製しようとしたサンプルＳの配合にて計算した。図６(a) 及び(c)に有彩色着色剤の量が増減した異常サンプルのΔΔＲを示す。図中のΔΔＲが０の水平ラインの近くにある細線は正常と認識された調色サンプルH+、V+、C+のΔΔＲである。図から明らかなように赤着色剤p-4172が変化した異常サンプル+4172、-4172のΔΔＲは水平ラインから逸脱し、逸脱した波長域が図４に示されたP-4172の吸収波長域と一致していることから、原因となった着色剤はp-4172と特定できる。同様に黄着色剤P-4420の場合も水平ラインから逸脱した波長域がP-4420の吸収波長域と一致ししていることから原因となった着色剤はP-4420であることが特定できる。 課題の白着色剤、黒着色剤の量が増減した異常サンプルのΔΔＲを図６(b)及び(d)に示す。白着色剤の増加ならびに黒着色剤の減少は水平ラインの上側に、白着色剤の減少、黒着色剤の増加は水平ラインの下側になっており異常サンプルであることは判断できるが、どの着色剤が原因であるかの特定はできない。また、白着色剤、黒着色剤の分光分布はどちらも平坦であるが図６(b)及び(d)に示されるΔΔＲは平坦ではない。このように、白色顔料、黒色顔料の増減によるΔΔＲの形はサンプルの色により異なり、その形からはどの着色剤かは特定できない。
【０１４０】
そこで、別の方法でアプローチする必要がある。シミュレーション誤差を相殺するために正常サンプルのΔＲ-aveを用いることが有効であることは表４〜表７のΔΔＥ^*が小さいことから確認されているので、逆に、異常サンプルの実測反射率RREAL-abnをΔＲ-aveで補正すれば実際に混合された配合に近似した配合が得られると考えられる。実際に混合した配合と近似した配合が得られれば、得られた配合と作製しようとした配合とを比較し、各着色剤の変化率を求めればどの着色剤が大きく変化したかを推定することができることになる。これにより、原因となった着色剤を特定できると考えられる。実測反射率RREAL-abnのシミュレーション誤差の補正は式（３８）による。
RCAL’-abn＝RREAL-abn−ΔＲ-ave （３８）
【０１４１】
シミュレーション配合の計算には、ニュートン−ラフソン(Newton-Raphson)法を用いた。まず、ターゲットとして配合を求めたいサンプルの分光反射率RCAL’-abnから三刺激値ＸＲＣＡＬ’、ＹＲＣＡＬ’、ＺＲＣＡＬ’を求める。次に、式（３４）のＣｉに任意の初期値を与え、求められた(Ｋ/Ｓ)ｍｉｘから式（３２）によりシミュレーション反射率RCALを求め、そのRCALからシミュレーション三刺激値ＸＲＣＡＬ、ＹＲＣＡＬ、ＺＲＣＡＬ を求め、両者の差ΔＸ、ΔＹ、ΔＺを式(３９)より求める。
【０１４２】
Ｒ＝１＋（Ｋ／Ｓ）−（（Ｋ／Ｓ）²＋２（Ｋ／Ｓ））^1/2 （３２）
（式中、Ｒは調色対象物の分光反射率を示し、Ｋは着色剤の吸収係数を示し、Ｓは散乱係数を示す。）
【０１４３】

（式中、K_i/S_iは各着色剤の担体着色品の分光反射率の測定値から式（３１）より求められるK/S 値を示し、K₀/S₀は被着色物（例えば樹脂など）の測定値から式（３１）より求められるK/S 値を示し、S_i/ Ｓ_aは各着色剤のリファレンスａに対する相対散乱係数を示し、S₀/S_aは被着色物のリファレンスａに対する相対散乱係数を示す。）
【０１４４】
Ｋ／Ｓ＝（１−Ｒ）²／２Ｒ （３１）
【０１４５】
ΔＸ＝∫λ(RCAL’-abn−RCAL)λｓλｘλｄλ
ΔＹ＝∫λ(RCAL’-abn−RCAL) λｓλｙλｄλ （３９）
ΔＺ＝∫λ(RCAL’-abn−RCAL) λｓλｚλｄλ
【０１４６】
ここでｓλはイルミナントＤ65の分光分布、ｘλ、ｙλ、ｚλ は１０度視野CIE等色関数を使用した。初期値に対する補正量ΔＣｉの計算方法は、式（４０）より求めた。

【０１４７】
式（４０）はCiのiが３であれば、解が得られる。式（４１）を加えて４色のＣiを計算した。kは着色剤のトータル量を示し、任意に指定する。
Ｃ１＋Ｃ２＋Ｃ３＋Ｃ４ ＝ｋ （４１）
【０１４８】
式（３４）のＣｉに式（４１）で計算されたΔＣｉ を加算して修正し、２，３回ループ計算させてターゲットとの色差が0.05以下になるようにする。求められたＣｉがターゲットの着色剤の配合となる。
【０１４９】
異常サンプルのRCAL’-abnをターゲットにしてシミュレーション配合を算出し、作製しようとした配合に対し各着色剤の変化率を計算する。色の変化は各着色剤Ｃｉの比率が変化することによるが、着色剤のトータル量ｋが変わればＣｉの値も変化する。そこで、何らかの基準を決めて配合を計算する必要があるので、白着色剤が同量になるように求めた配合と、黒着色剤が同量になるように求めた配合の二通りを求めた。二通り求めた理由は白着色剤、黒着色剤を特定するために、白着色剤の量を固定した場合の他の着色剤の量の変化と、黒着色剤の量を固定した場合の他の着色剤の量の変化を比較するためである。
【０１５０】
表６に作製しようとしたサンプルＳの配合を示す。表６中の単位は、重量部である。表７にYR1の4172が増加した場合のシミュレーション配合と作製しようとした配合を基準にした自己着色剤の量の変化率を一例として表示し、その変化率のグラフを図７上段左側に示した。表７中の単位は、重量部である。他はグラフのみ表示した。図はいずれも２つの図で１サンプルを表し、左側が白着色剤を等量にした場合、右側は黒着色剤を等量にした場合の変化率を表し、サンプル名のサフィックスは作製異常の原因として想定した着色剤の名前を表す。
【０１５１】
図７、図８は原因となる着色剤が有彩色の場合である。図７の+4172ではYR6+4172を除き左側（白を等量）及び右側（黒を等量）ともに4172の変化率が他の着色剤の変化率より大きいことから異常の原因となる着色剤が4172の増加と特定できる。同じく図７の-4172では4172の変化率が他の着色剤の変化率より大きいことから異常の原因となる着色剤が4172の減少と特定できる。同様に、図１０から異常となる着色剤が4420であることが特定できる。
【０１５２】
図９、図１０は原因となる着色剤が無彩色の場合である。図９の+4050において白着色剤の量を等量にした左側は他の着色剤の変化量はともに大きく減少しているが、黒着色剤の量を等量にした右側は白着色剤の変化量だけが大きいが他の着色剤の変化量は小さいことが分かる。このような場合、白着色剤以外が同等に大きく変動したことよりも、白着色剤が変動したと考える方が理にかなっている。このことから白着色剤が作製異常の原因となった着色剤であることが特定できる。同様に図９の-4050は右側から4050の減少と特定できる。図１０の+4710は左側から4710の増加と特定できる。図１０の-4710は左側から4710の減少と特定できる。
【０１５３】
実施例２
［調色サンプルに使用された発色不安定な着色剤の特定］
使用する着色剤の大半が発色不安定な場合、調色サンプル(ｎ)の実測反射率RREAL-nとシミュレーション反射率RCAL-nの差ΔＲ-nは規則性が無くなるので、複数の着色剤が発色不安定であることが予想される。この場合は、要求する許容範囲に調色することは常に困難になるので、着色剤を根本から再検討する必要がある。ここで取り上げる試験、検討はデータベースに登録されている大半の着色剤の発色安定性は高いがその中に不安定な着色剤がいくつかあり、調色サンプル(ｎ)に使用された着色剤の１色が不安定な着色剤であった場合を想定している。１色でも不安定な着色剤があると調色サンプル（n）のΔＲ-nは異なる値となるので、調色サンプル(ｎ)のうちどのサンプルが異常サンプルなのかは特定することができない。しかしながら、ΔＲ-nがどのように変化しいるかを調べれば変化させる原因となった着色剤を特定できるのではないかと考えられる。図１１(a)〜(g)に調色サンプル３点の場合の発色不安定な着色剤を特定する概念図を示す。図の横軸、縦軸は図１と同じである。図１１(a)〜(c)は調色サンプルのRREAL(点線)とRCAL（実線）である。１回目のサンプル▲１▼は定常に発色された例で実線と点線の差はシミュレーション誤差ΔＲである。２回目のサンプル▲２▼は赤着色剤の発色が定常より進んだ例、３回目のサンプル▲３▼は赤着色剤の発色が定常に至らなかった例である。図１１(d)〜(g)はRREALとRCALの差ΔＲであり、本来はΔＲはほぼ同じ値となるはずであるが、発色が不安定な着色剤があるため同じ値になっていない。図１１(g)はサンプル▲１▼▲２▼▲３▼のサンプル間▲１▼−▲２▼、▲２▼−▲３▼、▲３▼−▲１▼のΔＲの差において、ΔＲの絶対値の最大が負の場合はΔＲに−１を乗じてΔΔＲとして表示した。サンプル間でΔＲを差し引くことによりシミュレーション誤差が相殺され異常分が抽出されることになる。よって、図１１(g)のΔΔＲの最大値を持つ組み合わせのΔΔＲが調色サンプルの発色不安定分の最大の振れ幅となる。調色サンプルが３つ以上の場合はすべての組み合わせのΔΔＲから発色不安定分を求める。任意の調色サンプルのRCALに対し、発色不安定分ΔΔＲを加算または減じてＣＣＭによりシミュレーション配合を計算し、前述のように配合の変化率を調べれば原因となった着色剤を特定することができることとなる。不安定な発色は不特定であることから加算するか減じるか、どの調色サンプルの配合を基準にするかは規定する必要はない。ターゲットとしてRCALを使用するのは、RCALを使用すればシミュレーション誤差が加味されないためである。RCALは着色剤の比率を指定すれば計算から求められるので、調色サンプルの平均的な配合でも良い。試験サンプルとして、（Ｓ、+4172、-4172）、（S、+4420、-4420）、（Ｓ、+4050、-4050）、（S、+4710、-4710）の組み合わせを使用し、RCALの計算にはサンプルＳの配合を用い、Ｓの配合に対し各着色剤の変化率を計算し、その結果を図１２、図１３に示した。図の表示方法は図７、図８と同じである。図中のサンプル名のサフィックスは作製異常の原因として想定した着色剤の名前を表している。図１２の4172では左側、右側とも4172の変化率が他よりも大きい。図１２の4420では左側、右側とも4420の変化率が他よりも大きい。図１３の4050では右側から4050の変化率が他よりも大きいことが分かる。図１３の4710では左側から4710の変化率が他よりも大きいことが分かる。このことにより、作製異常の原因となった着色剤をそれぞれ特定できることが判明した。例えば、異常原因となる着色剤が赤着色剤、黄着色剤の２つの場合、サンプル▲２▼は赤着色剤だけが発色異常となり、サンプル▲３▼は黄着色剤だけが発色異常となると、図１１(g)のΔΔＲのパターンは異なった形となり、ΔΔＲの最大値を持つ組み合わせのΔΔＲは２つの異常着色剤した示さないことになる。このような場合は図１１(g)のΔΔＲから、どの組み合わせのΔΔＲから異常着色剤を推定するかを指定すればよい。
【０１５４】
実施例３
［混入された異質の着色剤の推定］
ここでの試験、検討は調色工程で作製した調色サンプルと生産工程で作製した検査サンプルの色が異なった場合、工程の違いによる発色の差なのか使用されていない異質の着色剤が混入されたためなのかの判断をし、使用されていない着色剤が混入された場合の着色剤を推定することを想定している。サンプルYR2、YR4のSに異質の着色剤として図１４(a)〜(c)に示される分光反射率を持つ着色剤4510、4170、4157、4440、4467の中の一つを追加混合し、ＳとのΔＥ^*が約１の配合をＣＣＭシステムによって求めた。作製したサンプルの実測値は表２に示されているように設定した色差が得られている。図１５(a)〜(d)に図６と同様に正常と認識されたサンプルH+、V+、C+のRREALとRCALから計算されたΔＲの平均であるΔＲ-aveとの差ΔΔＲを示した。図中のΔΔＲが０の水平ラインの近くにある細線は正常と認識された調色サンプルH+、V+、C+のΔΔＲである。図１５(a)及び(c)は赤着色剤4157、黄着色剤4467が混入したもの、図１５(b)及び(d)は赤着色剤4170、黄着色剤4440、緑着色剤4510が混入した例である。ΔΔＲが０の水平ラインから逸脱した波長域から400〜500nmは黄系着色剤、500〜600nmは橙、赤、茶、紫系着色剤、600nm〜700nmは緑、青系着色剤が異常原因の着色剤であることは分かる。まず、自己着色剤の量が変化したのか、異質の着色剤が混入されたのかを判別する必要がある。緑着色剤4510が混入した例は図６に示される自己着色剤の比率が変化した場合と異なる波長域（この場合は640nm付近）に誤差が出るので異質の着色剤が混入したことが分かる。赤着色剤4157の例は図１５(a)及び(c)の4157のΔΔＲのパターンと図６(a)及び(c)の自己着色剤4172のΔΔＲのパターンとが異なることから異質の着色剤が混入したことが分かる。黄着色剤4467、4440はともにΔΔＲのパターンの異なりからでは判別できない。
【０１５５】
そこで、どのような着色剤が混入されたかを推定するために、式（８）により作製異常サンプルのRCAL’-abnを算出し、RCAL’-abnをターゲットとしてデータベース上の各種着色剤の組み合わせでシミュレーション配合を求め、その配合のRCAL-ｋとRCAL’-abnとの差の総計を計算した。つまり、CCMデータベースの中に原因となる着色剤があればその着色剤が使用されたRCAL-ｋとRCAL’-abnとの一致性が高いはずであるから、分光反射率差の総和は小さくなるはずである。検索に使用したCCMデータベースの顔料組成を表８に、色相の位置関係をマンセル色相環として図１６に示した。指定する着色剤の４色は自己着色剤を指定し、５色目をCCMデータベースから順次選択してシミュレーション配合を求め反射率差の総和を計算し、総和の小さい順に上位から５番目までの配合の５色目の着色剤の名前を表９の選択欄に示した。表中の上段にある着色剤の名前は設定した異質の着色剤の名前である。選択欄の黒枠は設定した異質の着色剤名であることを示す。６番目の着色剤名が４色とあるのは自己着色剤の量が変動したと想定した場合の反射率差の総和を示す。表９に示されるように、緑着色剤+4510は一位に選択され、２番目以降ならびに４色の総和との差も大きいことから着色剤が4510であることが推定できる。黄着色剤4440も一位に選択され、２番目以降ならびに４色の総和との差も大きいことから着色剤が4440であることが推定できる。赤着色剤4157の例も一位に選択されており、４色の総和との差も大きいことから異質の着色剤が混入したことが分かり、２番目以降との差が大きいことから4157であることが推定できる。このように、自己着色剤と分光分布が大きく異なっている着色剤が混入された場合は、混入された着色剤を推定できることが証明された。
【０１５６】
【表１】

【０１５７】
【表２】

【０１５８】
【表３】

【０１５９】
【表４】

【０１６０】
【表５】

【０１６１】
【表６】

【０１６２】
【表７】

【０１６３】
【表８】

【０１６４】
【表９】

【０１６５】
【発明の効果】
本発明に係る第１及び第２のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法によれば、作製異常サンプルの作製異常原因が、自己着色剤の種類は正常サンプルと一致しているが、自己着色剤の配合比率が作業工程上のトラブル等により変化したことにある場合に、高い精度で作製異常着色剤を特定できる。
【０１６６】
本発明に係る第３〜第６のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法によれば、作製異常サンプルの作製異常原因が、自己着色剤の種類は正常サンプルと一致しているが、自己着色剤自体の発色安定性が着色剤の凝集等により損なわれている場合に、高い精度で作製異常着色剤を特定できる。
【０１６７】
本発明に係る第７及び第８のＣＣＭによる作製異常サンプル中の作製異常原因着色剤の特定方法よれば、作製異常サンプルの作製異常原因が、自己着色剤以外の着色剤が混入されている場合において、高い精度で作製異常着色剤を特定できる。
【０１６８】
上記作製異常原因着色剤の特定方法は、ＣＣＭソフト中に組込んで実行することができる。
【図面の簡単な説明】
【図１】波長（nm）に対する分光反射率及び分光反射率差を示すグラフである。
【図２】波長（nm）に対する分光反射率及び分光反射率差を示すグラフである。
【図３】波長（nm）に対する分光反射率及び分光反射率差を示すグラフである。
【図４】波長（nm）に対する分光反射率を示すグラフである。
【図５】波長（nm）に対する分光反射率差を示すグラフである。
【図６】波長（nm）に対する分光反射率差の差分を示すグラフである。
【図７】各着色剤の配合比率の変化率を示すグラフである。
【図８】各着色剤の配合比率の変化率を示すグラフである。
【図９】各着色剤の配合比率の変化率を示すグラフである。
【図１０】各着色剤の配合比率の変化率を示すグラフである。
【図１１】波長（nm）に対する分光反射率、分光反射率差及び分光反射率差の差分を示すグラフである。
【図１２】各着色剤の配合比率の変化率を示すグラフである。
【図１３】各着色剤の配合比率の変化率を示すグラフである。
【図１４】波長（nm）に対する分光反射率を示すグラフである。
【図１５】波長（nm）に対する分光反射率差の差分を示すグラフである。
【図１６】混入した各着色剤とＣＣＭデータベース内の各着色剤とのマンセル色相環上における位置を示す図である。[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a method for identifying a production abnormality cause colorant in a production abnormality sample by CCM.
[0002]
[Prior art]
2. Description of the Related Art Conventionally, CCM (Computer Color Matching) is known as a technique for performing color matching with a target color value as a target. The CCM measures the absorption coefficient and the confusion coefficient for each wavelength, which is the optical characteristic of each colorant such as red, blue, and yellow, and stores them in a database in advance. This is a technique for simulating whether the color value of the target (color sample) matches if it is mixed at a "colorant blending ratio".
[0003]
As basic operations of CCM, first, (a) the spectral reflectance of the target is measured to obtain the corresponding color value, and (b) the color value that approximates the color value is obtained. The colorant blending ratio as expected is obtained by simulating from the database, and a toning sample is prepared with the colorant blending ratio, (c) the spectral reflectance of the prepared toning sample is measured, and the actual measurement The spectral reflectance and color values measured in (b) were compared with the spectral reflectance and color values predicted in (b), and the deviation of the color values found in (d) and (c) was compared. To correct, correct the colorant blend ratio by simulation, and repeat the steps (e), (b) to (d), and bring the color value of the toning sample closer to the target. The color difference from the sample is gradually reduced.
[0004]
[Problems to be solved by the invention]
However, in the toning sample produced by CCM, the colorant of the type specified in the simulation is not blended in the calculated amount, or the colorant of a type other than that specified in the simulation is mixed. The color specification values are usually within the proper range for various reasons, such as the fact that the colorant itself is abnormal in color even if the type and blending ratio are as specified in the simulation, and the simulated color specification value cannot be obtained. In some cases, not only a normal sample that is toned within, but also a production abnormality sample that is toned so that the colorimetric value is outside the proper range. Also, other than CCM, for example, for a toning sample obtained by visual toning, a production abnormality sample may be obtained in the same manner as described above.
[0005]
For this reason, when a production abnormality sample is produced, if it is possible to determine the degree of production abnormality, that is, how much production abnormality is, it is possible to remove the cause, etc. toning work Preferred above. Furthermore, it is more preferable if it is possible to identify a colorant that causes production abnormality. Accordingly, an object of the present invention is to find a method for identifying a production abnormality cause colorant in a production abnormality sample.
[0006]
[Means for Solving the Problems]
In such a situation, the present inventors have intensively studied, and as a result, the colorant composition obtained from the difference obtained by subtracting the arithmetic average value of the simulation spectral reflectance difference of at least one normal sample from the actually measured spectral reflectance of the manufactured abnormal sample. The rate of change of the blending ratio for each colorant when fixing the colorant blending ratio of the white colorant and the black colorant in the ratio and the colorant blending ratio of the fabrication abnormal sample As a result, the present invention has been completed.
[0007]
  That is, the present invention, after identifying a production abnormality sample and a normal sample from a plurality of toned samples,
  A step of calculating a simulated spectral reflectance RCALabn from a coloring agent blending ratio RAT (RCALabn) originally intended to be produced of the production abnormality sample (ra1);
  Step (ra2) of obtaining spectral reflectance RCAL'abn indicating the difference in spectral reflectance at each wavelength between RREABab and ΔRnor-ave according to the following equation (3):
    RCAL'abn = RREALabn−ΔRnor-ave (3)
(RREababn: measured spectral reflectance of an abnormally produced sample, ΔRnor-ave: spectral reflectance indicating an arithmetic average of spectral reflectances at each wavelength of each simulation error ΔRnor of at least one normal sample)
  ArrivalA step of obtaining a white fixed colorant mixture ratio RATwh (RCAL'abn) calculated so that a white colorant mixture ratio in the colorant mixture ratio is equal to the RAT (RCALabn) white colorant mixture ratio (ra3 ),
  ArrivalA step of determining a black fixed colorant blending ratio RATbl (RCAL'abn) calculated so that the blending ratio of the black colorant in the blending ratio of the colorant is equal to the blending ratio of the black colorant of RAT (RCALabn) (ra4) ,
  Calculating a change rate of the colorant blending ratio of the RATwh (RCAL'abn) relative to the RAT (RCALabn) for each colorant to obtain a blending ratio change rate ΔCOMxRATwh (RCAL'abn) of the colorant x when white is fixed ( ra5),
  A step of specifying a colorant having an abnormal value as compared with other colorants as ΔCOMxRATwh (RCAL'abn) as an abnormal colorant when white is fixed (ra6);
  Calculating a change rate of the colorant blending ratio of the RATbl (RCAL'abn) to the RAT (RCALabn) for each colorant to obtain a blending ratio change rate ΔCOMxRATbl (RCAL'abn) of the colorant x when black is fixed ( ra7),
  (Ra8) specifying the colorant that ΔCOMxRATbl (RCAL'abn) exhibits an abnormal value as compared with other colorants as an abnormal colorant when fixed to black; and
  Performing a step including the step (ra9) of identifying a colorant corresponding to either or both of the white fixing abnormal colorant or the black fixing abnormal colorant as a coloring agent causing the manufacturing abnormal sample. The present invention provides a method for identifying a production abnormality cause colorant in a production abnormality sample by CCM.
[0008]
  In addition, the present invention specifies a production abnormality sample and a normal sample from a plurality of toning samples,
  Simulation spectroscopy from the colorant blend ratio RAT (TCALabn) originally intended to produce the abnormal production sampleTransparentCalculating the rate TCALabn (ta1),
  A step (ta2) of obtaining a spectral transmittance TCAL'abn indicating a difference in spectral transmittance at each wavelength between TREALabn and ΔTnor-ave by the following equation (3 ′);
    TCAL'abn = TREALabn−ΔTnor-ave (3 ′)
(TREALabn: measured spectral transmittance of an abnormally produced sample, ΔTnor-ave: spectral transmittance indicating an arithmetic mean of spectral transmittance at each wavelength of each simulation error ΔTnor of at least one normal sample)
  ArrivalA step of obtaining a white fixed colorant blending ratio RATwh (TCAL'abn) calculated so that the blending ratio of the white colorant in the blending ratio of the colorant is equal to the blending ratio of the white colorant of the RAT (TCALabn) (ta3 ),
  ArrivalA step (ta4) of obtaining a black fixed colorant mixture ratio RATbl (TCAL'abn) calculated so that the black colorant mixture ratio in the colorant mixture ratio is equal to the RAT (TCALabn) black colorant mixture ratio ,
  Calculating a change rate of the colorant blending ratio of the RATwh (TCAL'abn) with respect to the RAT (TCALabn) for each colorant to obtain a blending ratio change rate ΔCOMxRATwh (TCAL'abn) of the colorant x when white is fixed ( ta5),
  A step (ta6) of specifying a colorant having an abnormal value as compared to other colorants as ΔCOMxRATwh (TCAL'abn) as an abnormal colorant when white is fixed;
  Calculating a change rate of the colorant blending ratio of the RATbl (TCAL'abn) with respect to the RAT (TCALabn) for each colorant to obtain a blending ratio change rate ΔCOMxRATbl (TCAL'abn) of the colorant x when black is fixed ( ta7),
  A step (ta8) of identifying a colorant having an abnormal value as compared to other colorants as ΔCOMxRATbl (TCAL'abn) as an abnormal colorant when fixing black;
  Performing a process including a step (ta9) of identifying a colorant corresponding to either or both of the white fixing abnormal colorant or the black fixing abnormal colorant as a colorant causing the production abnormality of the production abnormality sample. The present invention provides a method for identifying a production abnormality cause colorant in a production abnormality sample by CCM.
[0009]
  The present invention also provides a plurality of toned samples.
  Step (rb1) for obtaining a spectral reflectance indicating a difference in spectral reflectance at each wavelength between RREALn and RCALn as a simulation error ΔRn of the toned sample n by the following equation (1):
    ΔRn = RREALn-RCALn (1)
(RREALn: measured spectral reflectance of toning sample n, RCALn: simulated spectral reflectance of toning sample n)
  The spectral reflectance ΔΔRi-j indicating the difference in spectral reflectance at each wavelength between any two toning samples i and the toning sample j in the toning sample is expressed by the following formula (4). Step for obtaining a combination of samples (rb2),
    ΔΔRi−j = | ΔRi−ΔRj | (4)
(ΔRi: simulation error of toning sample i, ΔRj: simulation error of toning sample j)
  Of the ΔΔRi-j,LargestObtaining ΔΔRi-j as ΔΔRi-j.lar (rb3),
  SmallA step (rb4) for obtaining a spectral reflectance RCALn-ave indicating an arithmetic mean of spectral reflectances at each wavelength of simulation spectral reflectance of at least one toned sample;
  Spectral reflectance RCAL indicating the sum of spectral reflectances at each wavelength of RCALn-ave and ΔΔRi-j.lar by the following equation (5)^{* +}Step to find n-ave (rb5),
    RCAL^{* +}n-ave = RCALn-ave + ΔΔRi-j.lar (5)
  A step (rb6) of obtaining a colorant blending ratio RAT (RCALn-ave) satisfying RCALn-ave;
  ArrivalWhite fixed colorant mixture ratio RATwh (RCAL) calculated so that the white colorant mixture ratio in the colorant mixture ratio is equal to the RAT (RCALn-ave) white colorant mixture ratio^{* +}n-ave) step (rb7),
  ArrivalThe black colorant mixture ratio RATbl (RCAL) calculated so that the black colorant mixture ratio in the colorant mixture ratio is equal to the RAT (RCALn-ave) black colorant mixture ratio^{* +}n-ave) step (rb8),
  The RATwh (RCAL) for the RAT (RCALn-ave)^{* +}n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when white is fixed ΔCOMxRATwh (RCAL^{* +}n-ave) step (rb9),
  ΔCOMxRATwh (RCAL^{* +}n-ave) identifying a colorant having an abnormal value as compared with other colorants as an abnormal colorant when fixing white (rb10),
  The RATbl (RCAL) for the RAT (RCALn-ave)^{* +}n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when black is fixed ΔCOMxRATbl (RCAL)^{* +}n-ave) step (rb11),
  ΔCOMxRATbl (RCAL^{* +}n-ave) identifying a colorant exhibiting an abnormal value compared to other colorants as an abnormal colorant when fixing black (rb12), and
  Performing a step including a step (rb13) of identifying a colorant corresponding to either or both of the white fixing abnormal colorant or the black fixing abnormal colorant as a colorant causing the production abnormality of the production abnormality sample. The present invention provides a method for identifying a production abnormality-causing colorant in a production abnormality sample by CCM characterized by the following.
[0010]
  The present invention also provides a plurality of toned samples.
  A step (tb1) of obtaining a spectral transmittance indicating a difference in spectral transmittance at each wavelength between TREALn and TCALn as a simulation error ΔTn of the toned sample n by the following equation (1 ′):
    ΔTn = TREALn-TCALn (1 ')
(TREALn: measured spectral transmittance of toning sample n, TCALn: simulated spectral transmittance of toning sample n)
  According to the following formula (4 ′), spectral transmittance ΔΔTi-j indicating the difference in spectral transmittance at each wavelength between any two toning samples i and toning sample j in the toning sample is calculated for all toning. Step for obtaining a combination of color samples (tb2),
    ΔΔTi−j = | ΔTi−ΔTj | (4 ′)
(ΔTi: simulation error of toning sample i, ΔTj: simulation error of toning sample j)
  Of the ΔΔTi-j,LargestObtaining ΔΔTi-j as ΔΔTi-j.lar (tb3),
  SmallA step (tb4) of obtaining a spectral transmittance TCALn-ave indicating an arithmetic average of spectral transmittances at each wavelength of simulation spectral transmittance of at least one toning sample;
  Spectral transmittance TCAL indicating the sum of spectral transmittance at each wavelength of the TCALn-ave and the ΔΔTi-j.lar by the following equation (5 ′).^{* +}Step to find n-ave (tb5),
    TCAL^{* +}n-ave = TCALn-ave + ΔΔTi-j.lar (5 ′)
  A step (tb6) of obtaining a colorant blending ratio RAT (TCALn-ave) satisfying the TCALn-ave;
  ArrivalWhite fixed colorant mixture ratio RATwh (TCAL) calculated so that the white colorant mixture ratio in the colorant mixture ratio is equal to the RAT (TCALn-ave) white colorant mixture ratio^{* +}n-ave) step (tb7),
  ArrivalBlack fixed colorant mixing ratio RATbl (TCAL) calculated so that the black colorant mixing ratio in the colorant mixing ratio is equal to the black colorant mixing ratio of the RAT (TCALn-ave).^{* +}n-ave) step (tb8),
  The RATwh (TCAL) for the RAT (TCALn-ave)^{* +}n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when white is fixed ΔCOMxRATwh (TCAL^{* +}n-ave) step (tb9),
  ΔCOMxRATwh (TCAL^{* +}n-ave) identifying a colorant having an abnormal value as compared to other colorants as an abnormal colorant when fixing white (tb10),
  The RATbl (TCAL) for the RAT (TCALn-ave)^{* +}n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when black is fixed ΔCOMxRATbl (TCAL)^{* +}n-ave) step (tb11),
  ΔCOMxRATbl (TCAL^{* +}n-ave) identifying a colorant having an abnormal value as compared with other colorants as an abnormal colorant when fixing black (tb12), and
  Performing a step including a step (tb13) of identifying a colorant corresponding to either or both of the abnormal colorant at the time of white fixation or the abnormal colorant at the time of black fixation as a colorant causing the production abnormality of the production abnormality sample. The present invention provides a method for identifying a production abnormality cause colorant in a production abnormality sample by CCM characterized by the following.
[0011]
  The present invention also provides a plurality of toned samples.
  A step (rc1) for obtaining a spectral reflectance indicating a difference in spectral reflectance at each wavelength between RREALn and RCALn as a simulation error ΔRn of the toned sample n by the following equation (1):
    ΔRn = RREALn-RCALn (1)
(RREALn: measured spectral reflectance of toning sample n, RCALn: simulated spectral reflectance of toning sample n)
  The spectral reflectance ΔΔRi-j indicating the difference in spectral reflectance at each wavelength between any two toning samples i and the toning sample j in the toning sample is expressed by the following formula (4). Step (rc2) for obtaining a combination of samples,
    ΔΔRi−j = | ΔRi−ΔRj | (4)
(ΔRi: simulation error of toning sample i, ΔRj: simulation error of toning sample j)
  Of the ΔΔRi-j,LargestObtaining ΔΔRi-j as ΔΔRi-j.lar (rc3),
  SmallA step (rc4) of obtaining a spectral reflectance RCALn-ave indicating an arithmetic average of spectral reflectances at each wavelength of simulation spectral reflectance of at least one toned sample;
  Spectral reflectance RCAL indicating the difference in spectral reflectance at each wavelength between RCALn-ave and ΔΔRi-j.lar by the following equation (6)^*-Step to find n-ave (rc5),
    RCAL^*-n-ave = RCAL n-ave-ΔΔRi-j.lar (6)
  A step (rc6) of determining a colorant blending ratio RAT (RCALn-ave) satisfying RCALn-ave;
  ArrivalWhite fixed colorant mixture ratio RATwh (RCAL) calculated so that the white colorant mixture ratio in the colorant mixture ratio is equal to the RAT (RCALn-ave) white colorant mixture ratio^*-n-ave) step (rc7),
  ArrivalThe black colorant mixture ratio RATbl (RCAL) calculated so that the black colorant mixture ratio in the colorant mixture ratio is equal to the RAT (RCALn-ave) black colorant mixture ratio^*-n-ave) step (rc8),
  The RATwh (RCAL) for the RAT (RCALn-ave)^*-n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when white is fixed ΔCOMxRATwh (RCAL^*-n-ave) step (rc9),
  ΔCOMxRATwh (RCAL^*-n-ave) identifying a colorant having an abnormal value as compared to other colorants as an abnormal colorant when fixing white (rc10),
  The RATbl (RCAL) for the RAT (RCALn-ave)^*-n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when black is fixed ΔCOMxRATbl (RCAL)^*-n-ave) step (rc11),
  ΔCOMxRATbl (RCAL^*-n-ave) identifying a colorant exhibiting an abnormal value compared to other colorants as an abnormal colorant when fixing black (rc12), and
  Performing a step including a step (rc13) of identifying a colorant corresponding to either or both of the white fixing abnormal colorant and the black fixing abnormal colorant as a coloring agent causing a manufacturing abnormality sample. The present invention provides a method for identifying a production abnormality-causing colorant in a production abnormality sample by CCM characterized by the following.
[0012]
  The present invention also provides a plurality of toned samples.
  A step (tc1) of obtaining a spectral transmittance indicating a difference in spectral transmittance at each wavelength between TREALn and TCALn as a simulation error ΔTn of the toned sample n by the following equation (1 ′);
    ΔTn = TREALn-TCALn (1 ')
(TREALn: measured spectral transmittance of toning sample n, TCALn: simulated spectral transmittance of toning sample n)
  According to the following formula (4 ′), spectral transmittance ΔΔTi-j indicating the difference in spectral transmittance at each wavelength between any two toning samples i and toning sample j in the toning sample is calculated for all toning. Step for obtaining a combination of color samples (tc2),
    ΔΔTi−j = | ΔTi−ΔTj | (4 ′)
(ΔTi: simulation error of toning sample i, ΔTj: simulation error of toning sample j)
  Of the ΔΔTi-j,LargestObtaining ΔΔTi-j as ΔΔTi-j.lar (tc3),
  SmallA step (tc4) of obtaining a spectral transmittance TCALn-ave indicating an arithmetic average of spectral transmittances at each wavelength of simulation spectral transmittance of at least one toning sample;
  Spectral transmittance TCAL indicating a difference in spectral transmittance at each wavelength between the TCALn-ave and the ΔΔTi-j.lar by the following equation (6 ′).^*-Step to find n-ave (tc5),
    TCAL^*-n-ave = TCALn-ave-ΔΔTi-j.lar (6 ′)
  A step (tc6) of obtaining a colorant blending ratio RAT (TCALn-ave) satisfying TCALn-ave;
  ArrivalWhite fixed colorant mixture ratio RATwh (TCAL) calculated so that the white colorant mixture ratio in the colorant mixture ratio is equal to the RAT (TCALn-ave) white colorant mixture ratio^*-n-ave) step (tc7),
  ArrivalBlack fixed colorant mixing ratio RATbl (TCAL) calculated so that the black colorant mixing ratio in the colorant mixing ratio is equal to the black colorant mixing ratio of the RAT (TCALn-ave).^*-n-ave) step (tc8),
  The RATwh (TCAL) for the RAT (TCALn-ave)^*-n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when white is fixed ΔCOMxRATwh (TCAL^*-n-ave) step (tc9),
  ΔCOMxRATwh (TCAL^*-n-ave) identifying a colorant having an abnormal value as compared with other colorants as an abnormal colorant when fixing white (tc10),
  The RATbl (TCAL) for the RAT (TCALn-ave)^*-n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when black is fixed ΔCOMxRATbl (TCAL)^*-n-ave) step (tc11),
  ΔCOMxRATbl (TCAL^*-n-ave) identifying a colorant exhibiting an abnormal value as compared with other colorants as an abnormal colorant when fixing black (tc12), and
  Performing a step including a step (tc13) of identifying a colorant corresponding to either or both of the abnormal colorant at the time of white fixation or the abnormal colorant at the time of black fixation as a colorant causing the production abnormality of the production abnormality sample The present invention provides a method for identifying a production abnormality-causing colorant in a production abnormality sample by CCM characterized by the following.
[0015]
In addition, the present invention provides a method for specifying a production abnormality in a production abnormality sample by the CCM, which is executed by being incorporated in CCM software.
[0016]
DETAILED DESCRIPTION OF THE INVENTION
First, the outline of the toning process by CCM will be described. The outline of the CCM toning process is as follows. In the present invention, the toning sample means a sample prepared in the following toning process, and the production abnormality sample has a color difference, an actual spectral reflectance, etc. in the following toning process among the toning samples. An abnormal value or a normal sample means a toned sample that does not correspond to a production abnormal sample.
[0017]
(a) First, the color of the target (color sample) is measured to determine the color value of the target as tristimulus values XYZ.
(b) Next, based on the color specification value, it matches the color specification value from the absorption coefficient and the scattering coefficient calculated from the spectral reflectance or spectral transmittance specific to the colorant stored in the CCM database. Then, the colorant blending ratio (hereinafter, the colorant blending ratio is also referred to as “colorant blending ratio”) is simulated by CCM, and the colorant blending ratio for the first toning sample is assumed from the ratio. The calculated colorimetric value, the simulated spectral reflectance, and the like are calculated (hereinafter, the simulated spectral reflectance is also referred to as “RCAL”).
(c) Based on the colorant blending ratio calculated in (b), a first toning sample is prepared, and the colorimetric value and measured spectral reflectance of the sample are measured (for the measured spectral reflectance, Hereinafter also referred to as “RREAL”).
(d). Simulation error (hereinafter also referred to as “ΔR”), which is the difference between RREAL obtained in (c) and RCAL obtained in (b), and (c) in the first toning sample. Taking into account the degree of match (color difference) between the measured color difference and the target (color sample) requested by the customer, the color mixing value for the second toning sample after correction toning, and the color value assumed from the ratio In addition, the simulation spectral reflectance and the like are calculated. Further, the operations (c) and (d) are performed for the second toning sample.
(e) Hereinafter, for the toning samples after the third toning sample, repeat the operations (b) to (d) to bring the color value of the nth toning sample closer to the target color value. Go. Operations (b) to (d) are performed until the color difference between the toning sample and the target falls within a range set in advance for each product. In addition, when a production abnormality sample is produced, the above operation may be stopped.
[0018]
The simulated spectral reflectance RCAL is obtained by the following CCM theory. Here, the CCM simulation spectral reflectance of the nth toning sample is represented as RCAL-n. The CCM theory varies depending on the form of the toned object. If the toning object is translucent or opaque, the Kubelka-Munk theory is applied. For printing and dyeing, the 1-constant method of Kubelka-Munk theory is suitable, and for paints and plastics, the 2-constant method of Kubelka-Munk theory is suitable. If the object is transparent, the Lambert Beer theory is applied.
[0019]
There are many methods that apply Kubelka-Munk theory, and here we will explain the typical methods. Kubelka Munch is expressed by equation (11).
K / S = (1-R)²/ 2R (11)
[0020]
Back-expanding equation (11) yields equation (12)
R = 1 + (K / S)-((K / S)²+2 (K / S))^1/2      (12)
(In the formula, R represents the spectral reflectance of the toned object, K represents the absorption coefficient of the colorant, and S represents the scattering coefficient.)
[0021]
In the case of the one-constant method of Kubelka-Munk theory, each color (for example, red ink, blue ink) is weighed in a specified amount, and the spectral reflectance of each color is measured. K / S function, ie F_nRegister in advance. F_n  Is represented by equation (13).
F_n= ((K / S)_n  -(K / S)_o  ) / C_n                  (13)
(Where, (K / S)_nIndicates the K / S value obtained by the formula (11) from the spectral reflectance of the colored material, and (K / S)_oIndicates the K / S value of an object to be colored (for example, paper), and C_nIndicates the weight percentage of the color. F_nIndicates the K / S value of the color itself per color unit weight%. n indicates a color name. )
[0022]
When a plurality of colors are mixed and a colored product is obtained with the mixed colors, the (K / S) mix value is calculated by the equation (14).
(K / S) mix = F₁C₁+ ... + F_nC_n+ (K / S)₀   (14)
[0023]
Since the toning product has a known composition, C in formula (14)_nIs known and F_nAnd (K / S)₀Is registered in the CCM device in advance, so that a (K / S) mix of toning products is obtained. By substituting (K / S) mix into K / S in equation (12), a CCM simulation spectral reflectance RPR-n is obtained.
[0024]
In the case of the two constants of Kubelka-Munk theory, Duncan's formula (15) is applied for mixed colors.

(Where K_nIndicates the absorption coefficient of each color, S_nIndicates the scattering coefficient, C_nIndicates weight% and K₀Indicates an absorption coefficient of an object to be colored (for example, resin), and S₀Indicates the scattering coefficient. )
[0025]
In the formula (15), for example, a specific pigment such as white a is used as a reference (reference), and other colors are developed into the formula (16) as relative values with respect to the reference.

(Where K_n/ S_nIndicates the K / S value obtained from equation (11) by measuring the spectral reflectance of each color.₀/ S₀Indicates the K / S value obtained from the equation (11) by measuring the object to be colored (for example, resin)._n/ S_aIndicates the relative scattering coefficient for white a of each color, S₀/ S_aIndicates a relative scattering coefficient for the white a of the object to be colored. These values are registered in the CCM device in advance.
[0026]
Since the toning product has a known formulation, C in formula (16)_nSince the others are registered in the CCM apparatus as described above, the (K / S) mix of the toned product is obtained. Substituting (K / S) mix into K / S in equation (12) yields the CCM simulation spectral reflectance RCAL-n.
[0027]
When the toned object is transparent, the CCM simulation spectral transmittance TCAL-n can be obtained by using Lambert Bale's theoretical formula (17) instead of the CCM simulation spectral reflectance RCAL-n. .
D = −Log T (17)
[0028]
Each color is weighed by a specified amount, and the spectral transmittance of the colored material in that color is measured. From the equation (17), the D function of each color, that is, D_nRegister in advance. D value of color itself per unit weight% of color (D_n) Is expressed by equation (18).
D_n= (-Log T_n+ Log T_o) / C_n                    (18)
(Where T_nIndicates the spectral transmittance of the colored material for each single color, and T_oIndicates the spectral transmittance of an object to be colored (for example, resin), and n indicates a color name. )
[0029]
A plurality of colors are mixed, and the D value of the colored product in the mixed color is calculated by the equation (19).
Dmix = D₁C₁+ ... + D_nC_n+ D₀            (19)
[0030]
Since the toning product has a known composition, C in formula (19)_nIs known and D_nIs registered in advance in the CCM device, so that a toned Dmix can be obtained. By substituting Dmix into D in the equation (17), the CCM simulation spectral transmittance TCAL-n is obtained.
[0031]
The above-mentioned 1 constant method of the Kubelka-Munk theory, the 2 constant method of the Kubelka-Munk theory, and the Lambert Beer method are CCM simulation techniques, and include CCM simulation spectral reflectance RCAL-n and CCM simulation spectral transmittance TCAL-. It is an example of a method for obtaining n.
[0032]
In the method of the present invention, first, a method for identifying a production abnormality in a production abnormality sample by CCM is performed. That is, the method for identifying the production abnormality in the production abnormality sample by CCM is performed on the production abnormality sample after the production abnormality sample and the normal sample are identified from the plurality of toned samples.
[0033]
In the present invention, a method for identifying a production abnormality sample and a normal sample from a plurality of toned samples is not particularly limited, and a known method, a method for identifying by human visual sense, and the like can be used.
[0034]
Next, the spectral reflectance indicating the difference in spectral reflectance at each wavelength between RREALn and RCALn is defined as the simulation error ΔRn of the toned sample n by the above equation (1).
[0035]
In the present invention, the formula (1) is applied at each wavelength within the measurement wavelength range. That is, the numerical value represented by the formula (1) is a single numerical value obtained for each wavelength, but in the present invention, it represents an aggregate of a plurality of numerical values measured at an arbitrary wavelength within the measurement wavelength range. Shall. For example, when RREALn is expressed in a graph of wavelength-spectral reflectance coordinates, if the number of points of an arbitrary wavelength measured in the measurement wavelength range is large, it becomes similar to a line graph or a curve as shown in FIG. However, in the present invention, only the data of each wavelength calculated by the above formula (1) is used as the data used for the calculation of the color values, etc., and it is based on a curve or a line graph shown in the graph. Do not calculate.
[0036]
Further, the following formula (2) is used to obtain a spectral reflectance ΔR′abn indicating a difference in spectral reflectance between ΔRabn and ΔRnor-ave at each wavelength, and to identify ΔR′abn as a production abnormality of the production abnormality sample. To do.
ΔR′abn = ΔRabn−ΔRnor-ave (2)
(ΔRabn: simulation error of production abnormal sample, ΔRnor-ave: spectral reflectance indicating an arithmetic mean of spectral reflectances at each wavelength of each simulation error ΔRnor of at least one normal sample)
[0037]
Here, ΔRabn, ΔRnor, ΔRnor-ave and the like are simulation errors defined by the equation (1). ΔRnor-ave is a spectral reflectance indicating an arithmetic average of spectral reflectances at each wavelength of each simulation error ΔRnor of at least one normal sample. For this reason, ΔRnor-ave has, for example, three normal samples a, b and c, the value of ΔRa at wavelength λ1 is 50%, the value at wavelength λ2 is 50%, and the value of ΔRb at wavelength λ1 is Assuming 40%, the value at wavelength λ2 is 40%, the value of ΔRc at wavelength λ1 is 30%, and the value at wavelength λ2 is 60%, ΔRnor-ave is the value of ΔRa, ΔRb, ΔRc itself. Alternatively, if the arithmetic average of all ΔRa, ΔRb, and ΔRc is taken, the value at the wavelength λ1 is 40% and the value at the wavelength λ2 is 50%.
[0038]
Moreover, the said Formula (2) shall be applied in each wavelength within a measurement wavelength range similarly to the said Formula (1). That is, the numerical value represented by the formula (2) is a single numerical value obtained for each wavelength, but in the present invention, it represents an aggregate of a plurality of numerical values measured at an arbitrary wavelength within the measurement wavelength range. Shall. For example, when ΔRabn is represented in a graph of wavelength-spectral reflectance coordinates, if the number of points of an arbitrary wavelength measured in the measurement wavelength range is large, it becomes similar to a line graph, a curve as shown in FIG. However, in the present invention, only the data of each wavelength calculated by the above formula (2) is used as the data used for the calculation of the colorimetric value and the like, and it is based on a curve or a line graph expressed in the graph. Do not calculate.
[0039]
In the present invention, ΔR′abn is obtained from the equation (2), and estimation is performed so that ΔR′abn is specified as a production abnormality of the production abnormality sample.
[0040]
The reason for this estimation is as follows. That is, in the CCM, the simulation error ΔRn takes a substantially constant value if it is that of the normal sample nor (ΔRnor). Therefore, the reason why ΔRn (ΔRabn) of the toned sample n in which ΔRn takes an abnormal value, that is, ΔRn (ΔRabn) of the manufactured abnormal sample abn takes an abnormal value is that ΔRabn is added to ΔRnor in addition to the produced abnormal part ΔR'abn This is because it can be estimated.
[0041]
The method for displaying a production abnormality in a production abnormality sample by the CCM according to the present invention displays the production abnormality ΔR′abn in coordinates with the wavelength and the spectral reflectance difference as axes. As described above, when ΔR′abn is displayed on the coordinates having the wavelength and the spectral reflectance difference as axes, a normal sample has a small absolute value of ΔR′abn, and is therefore a graph formed by ΔR′abn values. Is substantially linear in the vicinity of ΔR′abn = 0, whereas in the production abnormal sample, ΔR′abn takes a value far from zero, so the graph formed by the ΔR′abn value is ΔR′abn = 0. The toning sample appears to be a normal sample at first glance because it exists in a curved shape with peaks, valleys, and flats in the wavelength range that is largely deviated from the vicinity and is usually the cause of production abnormalities. It can be easily determined whether the sample is an abnormally produced sample.
[0042]
Note that the above-described method for specifying the production abnormality in the production abnormality sample by CCM and the method for displaying the production abnormality in the production abnormality sample by CCM are incorporated into the CCM software and executed. Can be determined.
[0043]
In the present invention, when the toned sample is transparent, it is preferable to use spectral transmittance instead of the spectral reflectance. Specifically, after identifying a production abnormality sample and a normal sample from a plurality of toning samples, a method for identifying production abnormality in a production abnormality sample by CCM according to the present invention, the production abnormality sample,
When the spectral transmittance indicating the difference in spectral transmittance at each wavelength between TREALn and TCALn is defined as the simulation error ΔTn of the toned sample n according to the equation (1 ′),
From the following formula (2 ′), a spectral transmittance ΔT′abn indicating a difference in spectral transmittance at each wavelength between ΔTabn and ΔTnor-ave is obtained, and this ΔT′abn is specified as a production abnormality of the production abnormality sample. What is necessary is just to be the identification method of the production abnormality part in the production abnormality sample by CCM characterized by this.
ΔT′abn = ΔTabn−ΔTnor-ave (2 ′)
(ΔTabn: simulation error of production abnormal sample, ΔTnor-ave: spectral reflectance indicating an arithmetic mean of spectral transmittance at each wavelength of each simulation error ΔTnor of at least one normal sample)
[0044]
The method using the spectral transmittance is the same as the method using the spectral reflectance described above except that the spectral reflectance is replaced with the spectral transmittance.
[0045]
According to the first CCM production abnormality sample colorant identification method according to the present invention, the production abnormality cause colorant of the production abnormality sample has the same cause as that of the normal sample. When the mixing ratio of the agent is changed due to troubles in the work process, the abnormal production colorant can be specified with high accuracy.
[0046]
This method is performed on the production abnormality sample after specifying the production abnormality sample and the normal sample from a plurality of toned samples.
[0047]
In the method for identifying a production abnormality cause colorant in a production abnormality sample by the first CCM according to the present invention, a method for identifying a production abnormality sample and a normal sample from a plurality of toned samples is not particularly limited and is publicly known. Or a method of specifying by human visual feeling can be used.
[0048]
Next, the step (ra1) of calculating the simulated spectral reflectance RCALabn from the coloring agent blending ratio RAT (RCALabn) originally intended to be produced of the production abnormality sample is performed. The colorant blending ratio RAT (RCALabn) of the production abnormality sample is originally a composition to be produced, and may be a composition obtained in the CCM process or a composition obtained in the visual toning process. The simulation spectral reflectance satisfying RAT (RCALabn) is used if it is held in the CCM process, and in the case of a visual toning sample, RCALabn is newly calculated and keyed in the formulation.
[0049]
Next, a step (ra2) of obtaining spectral reflectance RCAL'abn indicating the difference in spectral reflectance at each wavelength between RREALabn and ΔRnor-ave is performed according to the equation (3).
[0050]
In addition, said Formula (3) shall be applied in each wavelength within a measurement wavelength range similarly to the said Formula (1). That is, the numerical value represented by the formula (3) is a single numerical value obtained for each wavelength, but in the present invention, it represents an aggregate of a plurality of numerical values measured at an arbitrary wavelength within the measurement wavelength range. Shall. For example, if RREALabn is expressed in a graph of wavelength-spectral reflectance coordinates, if the number of points of an arbitrary wavelength measured in the measurement wavelength range is large, it becomes similar to a line graph or a curve as shown in FIG. However, in the present invention, only the data of each wavelength calculated by the above formula (3) is used as the data used for the calculation of the color values, etc., and it is based on a curve or a line graph shown in the graph. Do not calculate.
[0051]
In the method for identifying a production abnormality cause colorant in a production abnormality sample by the first CCM according to the present invention, the spectral reflectance RCAL'abn is obtained from the equation (3), and the step ( ra3) Perform the following operations.
[0052]
As described above, the basis for using the spectral reflectance RCAL'abn as a reference in determining the abnormality in the colorant blending ratio in the operation after step (ra3) is as follows. That is, first, the actually measured spectral reflectance RREALabn of the production abnormality sample abn is expressed as the following formula (1a) from the formula (1).
RREALabn = RCALabn + ΔRabn (1a)
[0053]
The ΔRabn is obtained by adding the production abnormality ΔR′abn to ΔRnor-ave as represented by the following equation (2a) from the equation (2).
ΔRabn = ΔR′abn + ΔRnor-ave (2a)
[0054]
Accordingly, in order to make the production abnormality ΔR′abn manifest, ΔRAbn of (2a) is substituted into ΔRabn of equation (1a) and rearranged, the following equation (3a) is obtained.
RCALabn + ΔR′abn = RREABab−ΔRnor-ave (3a)
[0055]
That is, RCAL′abn in the expression (3) makes the production abnormality ΔR′abn manifest by removing the simulation error ΔRnor-ave common to normal samples from RREALabn. By making the production abnormality ΔR′abn manifest in this way, it becomes possible to identify the production abnormality cause colorant in the subsequent steps.
[0056]
Next, the white-fixing colorant calculated so that the RCAL'abn is substantially satisfied and the white colorant mixing ratio in the colorant mixing ratio is equal to the white colorant mixing ratio of the RAT (RCALabn). The step (ra3) for obtaining the blending ratio RATwh (RCAL'abn) is performed. Specifically, for example, in RAT (RCALabn), there are four types of colorants: white colorant wh, black colorant bl, red colorant re, and noble colorant ye, and colorant compounding ratio wh: bl: Assuming that re: ye is 10: 10: 10: 10, in RATwh (RCAL'abn), the ratio of the white colorant wh is 10 as wh: bl: re: ye is 10: 11: 9: 20. This is an operation in which the coloring agent blending ratio is determined with fixing as it is.
[0057]
Also, the black fixed colorant blending ratio calculated so that the RCAL'abn is substantially satisfied and the black colorant blending ratio in the colorant blending ratio is equal to the RAT (RCALabn) black colorant blending ratio. Step (ra4) for obtaining RATbl (RCAL'abn) is performed. The contents of the step (ra4) are the same as those of the step (ra3) except that the colorant for fixing the colorant mixture ratio is changed from the white colorant to the black colorant. Note that either step (ra3) or step (ra4) may be performed first or simultaneously.
[0058]
Next, the change rate of the colorant mixing ratio of the RATwh (RCAL'abn) to the RAT (RCALabn) is calculated for each colorant, and the change ratio ΔCOMxRATwh (RCAL'abn) of the colorant x when white is fixed is calculated. The step (ra5) to be obtained is performed. Specifically, in the above example, for example, wh: bl: re: ye of RAT (RCALabn) is 10: 10: 10: 10, and wh: bl: re: ye of RATwh (RCAL'abn) Is 10: 11: 9: 12, the change ratio of the colorant wh when white is fixed ΔCOMwhRATwh (RCAL'abn) is 0%, and the change ratio of the colorant bl when white is fixed ΔCOMblRATwh (RCAL'abn) Is 10%, the change rate of the colorant re when white is fixed ΔCOMreRATwh (RCAL'abn) is -10%, and the change rate of the colorant ye when white is fixed ΔCOMreRATwh (RCAL'abn) is 100%. Operation.
[0059]
Next, a step (ra6) is performed in which ΔCOMxRATwh (RCAL′abn) indicates a colorant having an abnormal value as compared with other colorants as an abnormal colorant at the time of white fixation. Specifically, for example, COMwhRATwh (RCAL'abn) is 0%, ΔCOMblRATwh (RCAL'abn) is 10%, the change rate of the colorant re when white is fixed ΔCOMreRATwh (RCAL'abn) is -10%, ΔCOMyeRATwh When (RCAL'abn) is 100%, the absolute value of ΔCOMyeRATwh (RCAL'abn) shows a significantly abnormal value as compared with the other, so that the colorant ye is specified as an abnormal colorant when white is fixed. , COMwhRATwh (RCAL'abn) is 100%, ΔCOMblRATwh (RCAL'abn) is 110%, Mixing ratio change ratio of colorant re when white is fixed ΔCOMreRATwh (RCAL'abn) is 10%, ΔCOMyeRATwh (RCAL'abn) is 90 %, The absolute value of ΔCOMreRATwh (RCAL'abn) is smaller than the others and shows an abnormal value. Therefore, the colorant re is specified as an abnormal colorant when white is fixed. It refers to so that operation. Since the abnormality of ΔCOMxRATwh (RCAL′abn) is determined by the magnitude of the absolute value, even if the numerical value of ΔCOMxRATwh (RCAL′abn) is a negative value, it is determined in the same manner.
[0060]
Further, the change rate of the colorant blending ratio of the RATbl (RCAL'abn) to the RAT (RCALabn) is calculated for each colorant to obtain the blending ratio change rate ΔCOMxRATbl (RCAL'abn) of the colorant x when black is fixed. Step (ra7) is performed. The contents of the step (ra7) are the same as those of the step (ra5) except that the colorant for fixing the colorant blending ratio is changed from the white colorant to the black colorant. Note that either step (ra5) or step (ra7) may be performed first or simultaneously.
[0061]
Next, a step (ra8) is performed in which ΔCOMxRATbl (RCAL′abn) indicates a colorant having an abnormal value as compared with other colorants as an abnormal colorant when fixing black. The content of the step (ra8) is the same as that of the step (ra6) except that the colorant for fixing the colorant mixture ratio is changed from the white colorant to the black colorant. Note that either step (ra6) and step (ra8) may be performed first or simultaneously.
[0062]
Finally, the step (ra9) of specifying a colorant corresponding to one or both of the abnormal colorant at the time of white fixation or the abnormal colorant at the time of black fixation as a colorant causing the production abnormality of the production abnormality sample is performed. . Specifically, in the above example, for example, when the white fixing abnormal colorant and the black fixing abnormal colorant are both the colorant ye, or the white fixing abnormal colorant or the black fixing abnormal colorant. When the colorant corresponding to any one is the colorant ye, an operation is performed in which the colorant ye is specified as the colorant causing the production abnormality of the production abnormality sample. If the white fixing abnormal colorant or black fixing abnormal colorant is a chromatic color such as a yellow coloring agent or a red coloring agent, either the white fixing abnormal colorant or the black fixing abnormal colorant It is possible to specify the colorant causing the production abnormality simply by specifying one, but if it is an achromatic color such as a white colorant or a black colorant, the abnormal colorant at the time of white fixation and the color at the time of black fixation Those common to both abnormal colorants are identified as the colorants causing the production abnormality.
[0063]
The method for identifying the production abnormality cause colorant in the production abnormality sample by the first CCM according to the present invention described above is that the production abnormality cause of the production abnormality sample is the same as that of the normal sample. When the blending ratio of the colorant is changed due to troubles in the work process, the abnormal production colorant can be identified with high accuracy. In addition, in this specification, a self-coloring agent means the coloring agent contained in a normal sample.
[0064]
Note that the above-described method for identifying a production abnormality cause colorant in a production abnormality sample by CCM is preferably executed when incorporated in CCM software because abnormality can be immediately determined during the toning operation.
[0065]
In the present invention, when the toned sample is transparent, it is preferable to use spectral transmittance instead of the spectral reflectance. Specifically, the method for identifying the production abnormality cause colorant in the production abnormality sample by the first CCM according to the present invention is described after the production abnormality sample and the normal sample are identified from a plurality of toning samples. For abnormal samples
A step of calculating a simulation spectral reflectance TCALabn from a coloring agent blending ratio RAT (TCALabn) originally intended to be produced of the production abnormality sample (ta1),
A step (ta2) of obtaining a spectral transmittance TCAL'abn indicating a difference in spectral transmittance at each wavelength between TREALabn and ΔTnor-ave according to the equation (3 ′),
White fixed colorant mixture ratio RATwh calculated so that the TCAL'abn is substantially satisfied and the white colorant mixture ratio in the colorant mixture ratio is equal to the RAT (TCALabn) white colorant mixture ratio (Ta3) to obtain (TCAL'abn),
The black fixed colorant blending ratio RATbl (substantially satisfying the TCAL'abn and calculated so that the blending ratio of the black colorant in the blending ratio of the colorant is equal to the blending ratio of the black colorant of the RAT (TCALabn)). Step (ta4) for obtaining TCAL'abn),
Calculating a change rate of the colorant blending ratio of the RATwh (TCAL'abn) with respect to the RAT (TCALabn) for each colorant to obtain a blending ratio change rate ΔCOMxRATwh (TCAL'abn) of the colorant x when white is fixed ( ta5),
A step (ta6) of specifying a colorant having an abnormal value as compared to other colorants as ΔCOMxRATwh (TCAL'abn) as an abnormal colorant when white is fixed;
Calculating a change rate of the colorant blending ratio of the RATbl (TCAL'abn) with respect to the RAT (TCALabn) for each colorant to obtain a blending ratio change rate ΔCOMxRATbl (TCAL'abn) of the colorant x when black is fixed ( ta7),
A step (ta8) of identifying a colorant having an abnormal value as compared to other colorants as ΔCOMxRATbl (TCAL'abn) as an abnormal colorant when fixing black;
Performing a process including a step (ta9) of identifying a colorant corresponding to either or both of the white fixing abnormal colorant or the black fixing abnormal colorant as a colorant causing the production abnormality of the production abnormality sample. What is necessary is just to make it the identification method of the production abnormality cause colorant in the production abnormality sample by CCM characterized by this. This method is referred to as a method for identifying a production abnormality cause colorant in a production abnormality sample by the second CCM according to the present invention.
[0066]
The method for identifying the production abnormality cause colorant in the production abnormality sample by the second CCM according to the present invention is the method for identifying the production abnormality cause colorant in the production abnormality sample by the first CCM according to the present invention. This is the same except that the reflectance is replaced with the spectral transmittance.
[0067]
In the third CCM production abnormality sample according to the present invention, the production abnormality cause colorant identification method is the same as the production abnormality cause of the production abnormality sample. In the case where the color development stability of the colorant itself is impaired due to the aggregation of the colorant or the like, it is possible to identify the abnormal production colorant with high accuracy.
[0068]
This method is performed for a plurality of toned samples.
[0069]
In the method for identifying a production abnormality cause colorant in a production abnormality sample by the third CCM according to the present invention, a method for identifying a sample to be tested from a plurality of toned samples is not particularly limited, and is a known method or human. The method of specifying by the visual sensation can be used.
[0070]
Next, the step (rb1) of obtaining the spectral reflectance indicating the difference in spectral reflectance at each wavelength between RREALn and RCALn as the simulation error ΔRn of the toned sample n by the above equation (1) is performed.
[0071]
Next, the spectral reflectance ΔΔRi-j indicating the difference in spectral reflectance at each wavelength between any two toning samples i and the toning sample j in the toning sample is all expressed by the equation (4). Perform the step (rb2) to find the combination of toning samples of
[0072]
Next, a step (rb3) of obtaining ΔΔRi-j as ΔΔRi-j.lar by selecting at least one of ΔΔRi-j in order from the largest ΔΔRi-j is performed.
[0073]
The step (rb2) is an operation of revealing the production abnormality included in the simulation error by subtracting the simulation errors between all the toning samples including the production abnormality sample. Then, the step (rb3) is an operation for extracting data representing the manifestation of the production abnormality, among the manifestation of the production abnormality.
[0074]
The reason why the steps (rb2) and (rb3) are performed is as follows. First, if any one of the colorants is unstable in color development, the toning is not performed properly, and therefore almost all of the toning samples are usually the production abnormality sample abn. These production abnormality samples abn include the production abnormality ΔR′abn in the simulation error ΔRabn by the following equation (2b) obtained by modifying the equation (2).
ΔRabn = ΔRnor-ave + ΔR′abn (2b)
[0075]
However, if there are many production abnormality samples, ΔR′abn usually has a different value for each production abnormality sample. Therefore, unless ΔRnor-ave can be regarded as constant in equation (2b), the production abnormality component ΔR′abn Cannot be specified. However, if any one of the colorants is unstable in color development as described above, almost all of the toned samples become the production abnormality sample abn, and the absolute number of normal samples is much smaller than the production abnormality sample. .DELTA.Rnor-ave in the equation (2) cannot be obtained as a reliable value. For this reason, since the production abnormality ΔR′abn cannot be substantially specified by the equation (2), it is necessary to specify the production abnormality by a method other than the equation (2).
[0076]
This point will be described by taking a case where three toning samples a, b, and c exist as a specific example. The simulation errors ΔRabn-a, ΔRabn-b, and ΔRabn-c of each production abnormality sample are included, including the production abnormality components ΔR'abn-a, ΔR'abn-b, and ΔR'abn-c of each production abnormality sample. This is expressed as follows.
ΔRabn-a = ΔRnor-ave + ΔR'abn-a (2b-a)
ΔRabn-b = ΔRnor-ave + ΔR'abn-b (2b-b)
ΔRabn-c = ΔRnor-ave + ΔR'abn-c (2b-c)
[0077]
Here, ΔR′abn-a, ΔR′abn-b, and the like are the production abnormalities, for example, if the coloring abnormality cause colorant of the toning sample a is a red colorant re, a wavelength peculiar to the red colorant re If the production abnormality component appearing in the region is ΔR′abn-a and the coloration abnormality cause colorant of the toning sample b is the yellow colorant ye, the production abnormality component appearing in the wavelength region peculiar to the yellow colorant ye is ΔR. It's like 'abn-b'.
[0078]
When a difference is taken for each of the left side and the right side among these formulas (2b-a) to (2b-c), the following formula (2c) is obtained.
ΔRabn−a−ΔRabn−b = ΔR′abn−a−ΔR′abn−b
ΔRabn-b−ΔRabn-c = ΔR′abn-b−ΔR′abn-c
ΔRabn-c−ΔRabn-a = ΔR′abn-c−ΔR′abn-a (2c)
ΔRabn-b−ΔRabn-a = ΔR′abn-b−ΔR′abn-a
ΔRabn-c−ΔRabn-b = ΔR′abn-c−ΔR′abn-b
ΔRabn-a−ΔRabn-c = ΔR′abn-a−ΔR′abn-c
[0079]
When the difference between the simulation errors ΔRabn of the two toning samples is taken in this way, ΔRnor-ave is canceled in each equation, and two such as ΔR′abn-a−ΔR′abn-b are described above. Only the difference between the production abnormality ΔR'abn of the toning sample is calculated. The difference between the production abnormalities ΔR′abn, that is, the difference between the simulation errors ΔRabn indicates a difference between the two production abnormalities due to the color development abnormality of the colorant between the two toning samples. Therefore, when the value of the difference between the simulation errors ΔRabn is large, it can be estimated that the production abnormality has become apparent.
[0080]
For example, the color development abnormality cause colorant of the toning sample a is the red colorant re and the cause thereof is due to excessive color development, and the color development abnormality cause colorant of the toning sample b is the red colorant re and the cause thereof If the color is due to insufficient color development, the wavelength range where the production abnormality appears is the same, so the two production quantities of the red colorant re production abnormality are weighted, and the production abnormality of the red colorant re becomes obvious. .
[0081]
In addition, if the coloring abnormality cause colorant of the toning sample a is the red colorant re and the coloring abnormality cause colorant of the toning sample b is the yellow colorant ye, the wavelength range in which the production abnormality appears is different. -a-ΔRabn-b is weighted with the abnormal production of red colorant re and the abnormal production of yellow colorant ye, and the abnormal production of red colorant re and yellow colorant ye becomes obvious. When this state is expressed in the wavelength-spectral reflectance graph, the peak of the spectral reflectance curve generated in the specific wavelength region for the abnormal production of the red colorant re and the specific wavelength region for the abnormal production of the yellow colorant ye are generated. The peaks of the spectral reflectance curve are generated apart or partially overlapping in different specific wavelength ranges.
[0082]
As described above, the spectral reflectance | ΔΔRi-j | represented by the above equation (4) is calculated from the arbitrary toning sample i and the toning sample j, and | ΔΔRi-j | For example, it can be presumed that the production abnormality cause colorant can be specified by further performing the following operations because the production abnormality can be revealed.
[0083]
Next, a step (rb4) of obtaining a spectral reflectance RCALn-ave indicating an arithmetic mean of spectral reflectances at each wavelength of simulation spectral reflectance of at least one toned sample selected arbitrarily is performed. For example, there are three toning samples a, b and c, the value of RCALa at wavelength λ1 is 50%, the value at wavelength λ2 is 50%, the value of RCALb at wavelength λ1 is 40%, and the value at wavelength λ2. Is 40%, the value of RCALc at wavelength λ1 is 30%, and the value at wavelength λ2 is 60%, RCALn-ave may be the values of RCALa, RCALb, and RCALc itself, If the arithmetic average of all of RCALb and RCALc is taken, the value at wavelength λ1 is 40% and the value at wavelength λ2 is 50%. In the following steps, RCALn-ave is only the base of the value obtained by adding ΔΔRi-j.lar. That is, RCALn-ave has data such as the spectral reflectance of a realistic toning sample. Therefore, an arithmetic average value for at least one toning sample may be taken.
[0084]
Next, the spectral reflectance RCAL indicating the sum of spectral reflectances at the respective wavelengths of the RCALn-ave and the ΔΔRi-j.lar according to the equation (5).^{* +}Step (rb5) for obtaining n-ave is performed.
[0085]
In this step (rb5), a simulation error difference ΔΔRi-j.lar is used as a toning sample.^*a^*b^*In addition to RCALn-ave with a weight, the production abnormality is weighted RCAL^{* +}Obtain n-ave, the RCAL^{* +}By calculating the colorant blending ratio by CCM with n-ave, the colorant blending ratio in which the production abnormality is weighted is obtained.
[0086]
Next, a step (rb6) of obtaining a colorant blending ratio RAT (RCALn-ave) satisfying RCALn-ave is performed. This step (rb6) is a step of calculating the simulated spectral reflectance RCALn-ave from the average of the colorant blend ratios of at least one normal sample.
[0087]
Next, the RCAL^{* +}White fixed colorant compounding ratio calculated so that n-ave is substantially satisfied, and the white colorant compounding ratio in the colorant compounding ratio is equal to the RAT (RCAL n-ave) white colorant compounding ratio RATwh (RCAL^{* +}Step (rb7) for obtaining n-ave) is performed. The operation in this step is the same as in step (ra3).
[0088]
The RCAL^{* +}Black fixed colorant compounding ratio calculated so that n-ave is substantially satisfied and the black colorant compounding ratio in the colorant compounding ratio is equal to the RAT (RCAL n-ave) black colorant compounding ratio RATbl (RCAL^{* +}Step (rb8) for obtaining n-ave) is performed. The content of the step (rb8) is the same as that of the step (rb7) except that the colorant for fixing the colorant blending ratio is changed from the white colorant to the black colorant. Note that either step (rb7) or step (rb8) may be performed first or simultaneously.
[0089]
Next, the RATwh (RCAL) for the RAT (RCALn-ave)^{* +}n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when white is fixed ΔCOMxRATwh (RCAL^{* +}Step (rb9) for obtaining n-ave) is performed. The operation in this step is the same as in step (ra5).
[0090]
Next, the ΔCOMxRATwh (RCAL^{* +}The step (rb10) of specifying a colorant whose n-ave) exhibits an abnormal value as compared with other colorants as an abnormal colorant when white is fixed is performed. The operation in this step is the same as in step (ra6).
The RATbl (RCAL) for the RAT (RCALn-ave)^{* +}n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when black is fixed ΔCOMxRATbl (RCAL)^{* +}Step (rb11) for obtaining n-ave) is performed. The operation in this step is the same as in step (ra7).
[0091]
Next, the ΔCOMxRATbl (RCAL^{* +}Step (rb12) is performed in which a colorant whose n-ave) exhibits an abnormal value as compared with other colorants is specified as an abnormal colorant when black is fixed. The operation in this step is the same as in step (ra8).
[0092]
Finally, a step (rb13) of specifying a colorant corresponding to one or both of the abnormal colorant at the time of white fixation and the abnormal colorant at the time of black fixation as a colorant causing the production abnormality of the production abnormality sample is performed. The operation in this step is the same as in step (ra9).
[0093]
In the third CCM production abnormality sample according to the present invention, the production abnormality cause colorant identification method is the same as the production abnormality cause of the production abnormality sample. When the color development stability of the colorant itself is impaired due to the aggregation of the colorant or the like, the abnormal production colorant can be identified with high accuracy. In addition, the method for identifying the production abnormality cause colorant in the production abnormality sample by the third CCM according to the present invention is not effective only in such a case, and the production abnormality cause of the production abnormality sample is self-coloring. The type of agent is the same as that of the normal sample, but when the mixing ratio of the self-coloring agent has changed due to troubles in the work process, etc. The same effect can be obtained even when the colorant is mixed.
[0094]
Note that the above-described method for identifying a production abnormality cause colorant in a production abnormality sample by CCM is preferably executed when incorporated in CCM software because abnormality can be immediately determined during the toning operation.
[0095]
In the present invention, when the toned sample is transparent, it is preferable to use spectral transmittance instead of the spectral reflectance. Specifically, for a plurality of toned samples, a method for identifying a production abnormality cause colorant in a production abnormality sample by the third CCM according to the present invention is used.
A step (tb1) of obtaining a spectral transmittance indicating a difference in spectral transmittance at each wavelength between TREALn and TCALn as a simulation error ΔTn of the toned sample n according to the equation (1 ′),
According to the equation (4 ′), the spectral transmittance ΔΔTi−j indicating the difference in spectral transmittance at each wavelength between any two toned samples i and the toned sample j in the toned sample is represented by all the toned samples. Step for obtaining a combination of color samples (tb2),
A step (tb3) of obtaining ΔΔTi-j as ΔΔTi-j.lar, in which at least one of ΔΔTi-j is selected in order from the largest ΔΔTi-j;
A step (tb4) of obtaining a spectral transmittance TCALn-ave indicating an arithmetic mean of spectral transmittances at each wavelength of simulation spectral transmittance of at least one toned sample arbitrarily selected;
Spectral transmittance TCAL indicating the sum of spectral transmittances at each wavelength of the TCALn-ave and the ΔΔTi-j.lar according to the equation (5 ′).^{* +}Step to find n-ave (tb5),
A step (tb6) of obtaining a colorant blending ratio RAT (TCALn-ave) satisfying the TCALn-ave;
TCAL^{* +}White fixed colorant compounding ratio calculated so that n-ave is substantially satisfied, and the white colorant compounding ratio in the colorant compounding ratio is equal to the RAT (TCALn-ave) white colorant compounding ratio. RATwh (TCAL^{* +}n-ave) step (tb7),
TCAL^{* +}Black fixed colorant mixture ratio calculated so that n-ave is substantially satisfied and the black colorant mixture ratio in the colorant mixture ratio is equal to the RAT (TCALn-ave) black colorant mixture ratio. RATbl (TCAL^{* +}n-ave) step (tb8),
The RATwh (TCAL) for the RAT (TCALn-ave)^{* +}n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when white is fixed ΔCOMxRATwh (TCAL^{* +}n-ave) step (tb9),
ΔCOMxRATwh (TCAL^{* +}n-ave) identifying a colorant having an abnormal value as compared to other colorants as an abnormal colorant when fixing white (tb10),
The RATbl (TCAL) for the RAT (TCALn-ave)^{* +}n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when black is fixed ΔCOMxRATbl (TCAL)^{* +}n-ave) step (tb11),
ΔCOMxRATbl (TCAL^{* +}n-ave) identifying a colorant having an abnormal value as compared with other colorants as an abnormal colorant when fixing black (tb12), and
Performing a step including a step (tb13) of identifying a colorant corresponding to either or both of the abnormal colorant at the time of white fixation or the abnormal colorant at the time of black fixation as a colorant causing the production abnormality of the production abnormality sample. It may be a method for identifying a production abnormality cause colorant in a production abnormality sample by CCM characterized by the following. This method is referred to as a method for identifying a production abnormality cause colorant in a production abnormality sample by the fourth CCM according to the present invention.
[0096]
According to the fourth method for identifying a production abnormality cause colorant in a production abnormality sample by CCM according to the present invention, the method for identifying a production abnormality cause colorant in a production abnormality sample by the third CCM according to the present invention is described. This is the same except that the reflectance is replaced with the spectral transmittance.
[0097]
According to the fifth method for identifying a production abnormality cause colorant in a production abnormality sample by CCM according to the present invention, the production abnormality cause of the production abnormality sample is the same as that of the normal sample. In the case where the color development stability of the agent itself is impaired by the aggregation of the colorant or the like, the abnormal production colorant can be identified with high accuracy. That is, the method for identifying the production abnormality cause colorant in the production abnormality sample by the fifth CCM according to the present invention is the same as the method for identifying the production abnormality cause colorant in the production abnormality sample by the third CCM according to the present invention. In this case, the production abnormal colorant can be specified with high accuracy.
[0098]
In step (rc5), the method for identifying the production abnormality cause colorant in the production abnormality sample by the fifth CCM according to the present invention is the method of identifying the production abnormality cause colorant in the production abnormality sample by the third CCM according to the present invention. RCAL using equation (5) in step (rb5) of the specific method^{* +}Instead of obtaining n-ave, RCAL using the above equation (6)^*-Except for obtaining n-ave, the same operation is performed, and in the steps after step (rc6), a method for identifying a production abnormality cause colorant in a production abnormality sample by the third CCM according to the present invention Step (rb6) RCAL used in subsequent steps^{* +}RCAL instead of n-ave^*-It has the same steps except using n-ave.
[0099]
This method is performed for a plurality of toned samples.
[0100]
In the fifth method for identifying a production abnormality cause colorant in a production abnormality sample by CCM according to the present invention, a method for identifying a sample to be tested from a plurality of toned samples is not particularly limited, and is a known method or human. The method of specifying by the visual sensation can be used.
[0101]
Next, the step (rc1) of obtaining the spectral reflectance indicating the difference in spectral reflectance at each wavelength between RREALn and RCALn as the simulation error ΔRn of the toned sample n by the above equation (1) is performed. The step (rc1) is the same operation as the step (rb1).
[0102]
Next, the spectral reflectance ΔΔRi-j indicating the difference in spectral reflectance at each wavelength between any two toning samples i and the toning sample j in the toning sample is all expressed by the equation (4). Perform the step (rc2) to find the combination of toning samples of
[0103]
Next, a step (rc3) of obtaining ΔΔRi-j as ΔΔRi-j.lar by selecting at least one of ΔΔRi-j in order from the largest ΔΔRi-j is performed. Step (rc2) is exactly the same operation as step (rb2), and step (rc3) is exactly the same operation as step (rb3).
[0104]
Next, a step (rc4) of obtaining a spectral reflectance RCALn-ave indicating an arithmetic average of spectral reflectances at each wavelength of simulation spectral reflectance of at least one toned sample selected arbitrarily is performed. The step (rc4) is the same operation as the step (rb4).
[0105]
Next, the spectral reflectance RCAL indicating the difference in spectral reflectance at each wavelength between the RCALn-ave and the ΔΔRi-j.lar according to the equation (6).^*-Perform step (rc5) to find n-ave.
The step (rc5) is performed by using the equation (5) in the step (rb5).^{* +}Instead of obtaining n-ave, RCAL is used in step (rc5) using equation (6) above.^*-The operation is substantially the same except that n-ave is obtained.
[0106]
In this step (rc5), the simulation error difference ΔΔRi-j.lar is used as a toning sample.^*a^*b^*RCAL n-ave is reduced from the RCALn-ave with anomaly weighted in the negative direction^*-Obtain n-ave, the RCAL^*-By performing CCM simulation with n-ave, data such as spectral reflectance in which the production abnormality is weighted in the negative direction is obtained. The reason why ΔΔRi-j.lar is subtracted from RCALn-ave in this way is the same as that described in the above step (rb5).^*a^*b^*This is because when the CCM simulation is performed only with the value of ΔΔRi-j.lar having the above, the result of the CCM simulation greatly deviates from the data such as the spectral reflectance of the realistic toned sample.
[0107]
Next, a step (rc6) of obtaining a colorant blending ratio RAT (RCALn-ave) satisfying RCALn-ave is performed. The step (rc6) is the same operation as the step (rb6).
[0108]
Next, the RCAL^*-White fixed colorant compounding ratio calculated so that n-ave is substantially satisfied, and the white colorant compounding ratio in the colorant compounding ratio is equal to the RAT (RCAL n-ave) white colorant compounding ratio RATwh (RCAL^*-Step (rc7) for obtaining n-ave) is performed. This step (rc7)^{* +}RCAL instead of n-ave^*-The same as step (rb7) except that n-ave is used.
[0109]
The RCAL^*-Black fixed colorant compounding ratio calculated so that n-ave is substantially satisfied and the black colorant compounding ratio in the colorant compounding ratio is equal to the RAT (RCAL n-ave) black colorant compounding ratio RATbl (RCAL^*-Step (rc8) for obtaining n-ave) is performed. This step (rc8)^{* +}RCAL instead of n-ave^*-The same as step (rb8) except that n-ave is used. Note that either step (rc7) or step (rc8) may be performed first or simultaneously.
[0110]
Next, the RATwh (RCAL) for the RAT (RCALn-ave)^*-n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when white is fixed ΔCOMxRATwh (RCAL^*-Step (rc9) for obtaining n-ave) is performed. The step (rc9) includes RATwh (RCAL^{* +}RATwh (RCAL) instead of n-ave^*-The same as step (rb9) except that n-ave) is used.
[0111]
ΔCOMxRATwh (RCAL^*-Step (rc10) is performed in which a colorant whose n-ave) exhibits an abnormal value as compared with other colorants is specified as an abnormal colorant when white is fixed. The step (rc10) includes ΔCOMxRATwh (RCAL^{* +}ΔCOMxRATwh (RCAL) instead of n-ave)^*-The same as step (rb10) except that n-ave) is used.
[0112]
The RATbl (RCAL) for the RAT (RCALn-ave)^*-n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when black is fixed ΔCOMxRATbl (RCAL)^*-Step (rc11) for obtaining n-ave) is performed. The step (rc11) includes ΔCOMxRATbl (RCAL^{* +}ΔCOMxRATbl (RCAL) instead of n-ave)^*-The same as step (rb11) except that n-ave) is used.
[0113]
Next, the ΔCOMxRATbl (RCAL^*-The step (rc12) of specifying a colorant whose n-ave) exhibits an abnormal value as compared with other colorants as an abnormal colorant when fixing black is performed. The step (rc12) includes ΔCOMxRATbl (RCAL^{* +}ΔCOMxRATbl (RCAL) instead of n-ave)^*-The same as step (rb12) except that n-ave) is used.
[0114]
Finally, a step (rc13) of specifying a colorant corresponding to one or both of the abnormal colorant at the time of white fixation or the abnormal colorant at the time of black fixation as a colorant causing the production abnormality of the production abnormality sample is performed.
[0115]
In the fifth CCM production abnormality sample according to the present invention, the production abnormality cause colorant identification method is the same as the production abnormality cause of the production abnormality sample. When the color development stability of the colorant itself is impaired due to the aggregation of the colorant or the like, the abnormal production colorant can be identified with high accuracy. In addition, the identification method of the production abnormality cause colorant in the production abnormality sample by the fifth CCM according to the present invention is not effective only in such a case, and the production abnormality cause of the production abnormality sample is self-coloring. The type of agent is the same as that of the normal sample, but when the mixing ratio of the self-coloring agent has changed due to troubles in the work process, etc. The same effect can be obtained even when the colorant is mixed.
[0116]
Note that the above-described method for identifying a production abnormality cause colorant in a production abnormality sample by CCM is preferably executed when incorporated in CCM software because abnormality can be immediately determined during the toning operation.
[0117]
In the present invention, when the toned sample is transparent, it is preferable to use spectral transmittance instead of the spectral reflectance. Specifically, for a plurality of toning samples, a method for identifying a production abnormality cause colorant in a production abnormality sample by the fifth CCM according to the present invention is provided.
A step (tc1) of obtaining a spectral transmittance indicating a difference in spectral transmittance at each wavelength between TREALn and TCALn as a simulation error ΔTn of the toned sample n by the equation (1 ′);
According to the equation (4 ′), the spectral transmittance ΔΔTi-j indicating the difference in spectral transmittance at each wavelength between any two toned samples i and the toned sample j in the toned sample is expressed by all the toned samples. Step for obtaining a combination of color samples (tc2),
Obtaining ΔΔTi-j as ΔΔTi-j.lar (Δt i -j.lar) in which at least one of ΔΔTi-j is selected in descending order,
A step (tc4) of obtaining a spectral transmittance TCALn-ave indicating an arithmetic average of spectral transmittances at each wavelength of simulation spectral transmittance of at least one toned sample selected arbitrarily;
Spectral transmittance TCAL indicating a difference in spectral transmittance at each wavelength between the TCALn-ave and the ΔΔTi-j.lar according to the equation (6 ′).^*-Step to find n-ave (tc5),
A step (tc6) of obtaining a colorant blending ratio RAT (TCALn-ave) satisfying TCALn-ave;
TCAL^*-White fixed colorant compounding ratio calculated so that n-ave is substantially satisfied, and the white colorant compounding ratio in the colorant compounding ratio is equal to the RAT (TCALn-ave) white colorant compounding ratio. RATwh (TCAL^*-n-ave) step (tc7),
TCAL^*-Black fixed colorant mixture ratio calculated so that n-ave is substantially satisfied and the black colorant mixture ratio in the colorant mixture ratio is equal to the RAT (TCALn-ave) black colorant mixture ratio. RATbl (TCAL^*-n-ave) step (tc8),
The RATwh (TCAL) for the RAT (TCALn-ave)^*-n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when white is fixed ΔCOMxRATwh (TCAL^*-n-ave) step (tc9),
ΔCOMxRATwh (TCAL^*-n-ave) identifying a colorant having an abnormal value as compared with other colorants as an abnormal colorant when fixing white (tc10),
The RATbl (TCAL) for the RAT (TCALn-ave)^*-n-ave) The change rate of the colorant mixture ratio is calculated for each colorant, and the change rate of the colorant x when black is fixed ΔCOMxRATbl (TCAL)^*-n-ave) step (tc11),
ΔCOMxRATbl (TCAL^*-n-ave) identifying a colorant exhibiting an abnormal value as compared with other colorants as an abnormal colorant when fixing black (tc12), and
Performing a step including a step (tc13) of identifying a colorant corresponding to either or both of the abnormal colorant at the time of white fixation or the abnormal colorant at the time of black fixation as a colorant causing the production abnormality of the production abnormality sample. It may be a method for identifying a production abnormality cause colorant in a production abnormality sample by CCM characterized by the following. This method is referred to as a method for identifying a production abnormality cause colorant in a production abnormality sample by the sixth CCM according to the present invention.
[0118]
According to the sixth method for identifying a production abnormality cause colorant in a production abnormality sample by CCM according to the present invention, the method for identifying a production abnormality cause colorant in a production abnormality sample by the fifth CCM according to the present invention is described. This is the same except that the reflectance is replaced with the spectral transmittance.
[0119]
The method for identifying the production abnormality cause colorant in the production abnormality sample by the seventh CCM according to the present invention is high when the production abnormality cause of the production abnormality sample is mixed with a colorant other than the self-colorant. It is possible to identify a production abnormal colorant with accuracy.
[0120]
This method is performed on the production abnormality sample after specifying the production abnormality sample and the normal sample from a plurality of toned samples.
[0121]
In the method for identifying a production abnormality cause colorant in a production abnormality sample by the seventh CCM according to the present invention, a method for identifying a production abnormality sample and a normal sample from a plurality of toning samples is not particularly limited and is publicly known. Or a method of specifying by human visual feeling can be used.
[0122]
Next, a step (rd1) of obtaining a spectral reflectance RCAL'abn indicating a difference in spectral reflectance at each wavelength between RREALabn and ΔRnor-ave is performed according to the equation (3).
[0123]
Next, the simulation spectral reflectance RCALq calculated using the tristimulus value XYZ calculated from the RCAL'abn as a target was calculated by performing a CCM simulation only with the self-coloring agent used for the toning of the normal sample, A step (rd2) is performed in which one kind of colorant in the database of the CCM system is added to the self-colorant and a plurality of colorants calculated by CCM simulation are obtained.
[0124]
Next, the step (rd3) of obtaining RSDIFq indicating the sum of the absolute value of the difference in spectral reflectance at each wavelength over the entire measurement wavelength range between RCALq and RCAL'abn (rd3) is performed.
[0125]
Next, a step (rd4) of specifying RCALq-min as the RCALq-min among all RCALqs is performed.
[0126]
Next, a step (rd5) of specifying the remaining colorant obtained by removing the self-colorant from the type of colorant contained in the RCALq-min as the colorant causing the production abnormality of the production abnormality sample is performed.
[0127]
Note that the above-described method for identifying a production abnormality cause colorant in a production abnormality sample by CCM is preferably executed when incorporated in CCM software because abnormality can be immediately determined during the toning operation.
[0128]
In the present invention, when the toned sample is transparent, it is preferable to use spectral transmittance instead of the spectral reflectance. Specifically, according to the seventh CCM production abnormality sample according to the present invention, the production abnormality cause colorant identification method is performed after the production abnormality sample and the normal sample are identified from a plurality of toning samples. For abnormal samples
A step (td1) of obtaining a spectral transmittance TCAL′abn indicating a difference in spectral transmittance at each wavelength between TREALabn and ΔTnor-ave according to the equation (3 ′);
A simulation spectral transmittance TCALq calculated by using the tristimulus value XYZ calculated from the TCAL'abn as a target is calculated by performing a CCM simulation using only a self-coloring agent used for toning a normal sample, and the self-coloring A step (td2) for obtaining a plurality of colorants calculated by CCM simulation by adding one type of colorant in the CCM system database to the colorant;
A step (td3) of obtaining TSDIFq indicating the total sum of the absolute value of the difference in spectral transmittance at each wavelength over the entire measurement wavelength range between the TCALq and the TCAL'abn for each TCALq;
A step (td4) of specifying TCALq-min as a TCALq-min among all TCALqs, and
Performing a step including a step (td5) of identifying the remaining colorant obtained by removing the self-colorant from the type of colorant contained in the TCALq-min as a colorant causing the production abnormality of the production abnormality sample. It may be a method for identifying a production abnormality cause colorant in a production abnormality sample by CCM characterized by the following. This method is referred to as a method for identifying a production abnormality cause colorant in a production abnormality sample by the eighth CCM according to the present invention.
[0129]
According to the eighth method for identifying a production abnormality cause colorant in a production abnormality sample by CCM according to the present invention, the method for identifying a production abnormality cause colorant in a production abnormality sample by the seventh CCM according to the present invention is described. This is the same except that the reflectance is replaced with the spectral transmittance.
[0130]
The present invention can be used for specifying a production abnormality cause colorant in a production abnormality sample in CCM or visual toning work.
[0131]
【Example】
EXAMPLES Hereinafter, although an Example demonstrates this invention further in detail, this invention is not limited only to these Examples.
[0132]
Example 1
[Production reproducibility estimation method]
1A to 1H display the measured spectral reflectance and the simulated spectral reflectance of the toning sample and the difference ΔR-n between them, and there is an abnormality in the second toning sample in the toning process. An example is shown conceptually. The horizontal axis represents the wavelength range of visible light, the vertical axis of the left graph represents the spectral reflectance, and the vertical axis of the right graph represents the spectral reflectance difference. In addition, the dotted line in the left graph shows the measured spectral reflectance RREAL-n, and the solid line shows the simulated spectral reflectance RCAL-n. However, since the difference between the two is difficult to compare in this graph, the right graph shows the difference ΔR-n with respect to RREAL-n on the basis of RCAL-n. In addition, in order to display easily, the vertical axis is displayed 5 times.
ΔR-n = RREAL-n-RCAL-n (35)
[0133]
The individual displays in FIGS. 1 (a) to (h) are shown in FIGS. 2 (a) to 2 (b). As apparent from FIG. 2 (b), ΔR of the first, third, and fourth toning samples is almost the same value, but ΔR of the second toning sample is different from the others and is abnormal in the manufacturing process. It is a sample (hereinafter referred to as a production abnormality sample), and it can be extracted as an abnormality from the difference in ΔR. The difference ΔR-abn between the RREAL-abn and the RCAL-abn of the sample judged to be abnormal (suffix is shown as -abn) includes the abnormal part and the simulation error, so the abnormal part is extracted by removing the simulation error It will be possible. The concept of the abnormal part extraction method is shown in FIGS. The calculation procedure (1), (2), (3), and (4) of the extraction method for abnormal contents are described below, and the spectral reflectance obtained in the procedures (1), (2), and (3) is shown in FIG. The spectral reflectance difference shown in (1) (2) (3) and obtained in the procedure (4) is shown in (4) in FIG. The horizontal and vertical axes are the same as in FIGS. The upper left column represents the average ΔR-ave of ΔR-n of the toning samples determined to be normal in FIG. The calculation procedure is as follows: (1) Measure the measured spectral reflectance RREAL-abn of the fabricated abnormal sample. (2) Calculate the simulated spectral reflectance RCAL-abn from the ratio of the colorant to be prepared. (3) The average value ΔR-ave of the simulation error ΔR-n of the toning sample other than the one extracted as abnormal (the toning sample recognized as having good production reproducibility) was calculated, and found in (2) RREAL'-abn is calculated by adding ΔR-ave to RCAL-abn. In other words, RREAL′-abn means the measured spectral reflectance when it is assumed that the sample is correctly manufactured. (4) The difference between RREAL'-abn and the measured spectral reflectance RREAL-abn is extracted as an abnormal component.
RREAL’-abn = RCAL-abn + ΔR-ave (36)
Where ΔR-ave = (1 / n) Σ (RREAL-n-RCAL-n)
However, the measured value of RREAL-abn is excluded when calculating ΔR-ave.
[0134]
The abnormality ΔR′-abn of the production abnormality sample is expressed by Expression (37).
ΔR′-abn = RREAL-abn−RREAL′-abn (37)
[0135]
[Sample preparation and measurement]
For the target S, one of the three attributes of hue (H), lightness (V), and saturation (C) is ΔE.^*A sample that has changed to about +2 assumes a toning sample, and an actual toning sample in which three attribute components are combined is included in this color range. S corresponds to a sample to be produced. Assuming that a production abnormality sample has been made when trying to produce S, one colorant of S formulation is produced as a production abnormality sample in which the ratio of the colorant used (hereinafter referred to as self-coloring agent) is changed. ΔE with S^*A sample of about 1 was produced. In addition, as a production abnormality sample in which a different colorant is mixed, one of four colorants different from the self-colorant is added, and ΔE with S is added.^*A sample of about 1 was produced. The blending of the toning sample and the production abnormality sample was calculated by correction calculation from the sample S by the CCM system.
[0136]
Table 1 shows the colorant composition of the prepared samples, and Table 2 shows the color values and color differences. The units in Table 1 are parts by weight. ΔE in Table 2^*As shown in the column, samples H +, V +, C + assuming a toning sample are ΔE^*Is about 2, and the sample +4172, -4172, +4420, -4420, +4050, -4050, +4710, and -4710 are assumed to be ΔE assuming a production abnormality with the amount of self-colorant increased or decreased.^*Is about 1 and samples +4510, +4170, +4157, +4440, +4467 are assumed to be ΔE^*It can be seen that about 1 is produced.
[0137]
Furthermore, since ΔR-ave in equation (6) uses the average of simulation errors ΔR of the toned samples H +, V +, and C + prepared earlier, the influence of the difference in the sample preparation period was examined. Table 3 shows ΔL calculated from the measured spectral reflectance RREAL and the simulated reflectance RCAL of the toning samples H +, V +, and C +.^*, Δa^*, Δb^*The color difference of the deviation from the average of the^*In the column. Table 4 shows the simulation error ΔL of the test sample.^*, Δa^*, Δb^*ΔΔE by calculating the color difference of the deviation from the average of^*In the column. ΔΔE in Table 4^*As can be seen from the column, it was confirmed that the color difference was sufficiently small and the production error was extremely small.
[0138]
Next, ΔL of the toning sample shown in Table 3^*, Δa^*, Δb^*And ΔL of the test samples in Table 4^*, Δa^*, Δb^*The average difference between the two colors is calculated as ΔΔE in Table 5^*In the column. ΔΔE in Table 5^*Since the value of is found to be sufficiently smaller than the color difference 1 of the test sample to be verified, the simulation error ΔR-ave uses the average of the simulation errors ΔR of the toned samples H +, V +, and C + prepared earlier. It was confirmed that there was no problem.
[0139]
[Identify the cause of the abnormality in the created abnormal sample]
The tests and examinations here assume that an abnormal product is extracted from the toned sample due to a measurement error or the like, and the colorant that caused the abnormal product is specified. In addition to notifying the color-matching operator of an abnormal product, notifying the cause of the abnormality also informs the certainty of the warning. Moreover, when there is a color difference between the toned sample and the product, it can also be applied to specify which colorant has changed by adding the product as a test sample. The point is whether or not increase / decrease in white colorant and black colorant can be discriminated. In other words, the reflectance increases both when the white colorant increases and when the black colorant decreases, and conversely, both the decrease in the white colorant and the increase in the black colorant decrease the reflectance, This is because it is difficult to determine which colorant is the cause. FIG. 4 shows spectral reflectances of the self-coloring white colorant EP-4050, the black colorant P-4710, the chromatic red colorant P-4172, and the yellow colorant P-4420. The spectral reflectance of the chromatic colorant is that whose ratio by weight is 5:95 (chromatic colorant: white colorant). As shown in FIGS. 5A to 5B, an abnormal product can be extracted from the difference ΔR-n of the measured spectral reflectance RREAL-n with respect to the simulated spectral reflectance RCAL-n of the toned sample. As shown in FIGS. 5A to 5B, ΔR-n for each wavelength of the toned samples H +, V +, and C + that are normally produced have almost the same value, but overlap each other. Since ΔR-abn of samples +4510, +4172, and -4172 takes into account anomalous components, it can be seen that there is a deviation from the overlap of ΔR-n of the toned samples produced normally. Since ΔR-abn is a combination of the original simulation error ΔR and the abnormal component ΔR′-abn, it is necessary to remove the simulation error ΔR. The average ΔR-ave of ΔR of normal samples H +, V +, and C + is used for the simulation error ΔR to be removed, and the spectral reflectance difference obtained by removing ΔR-ave from ΔR-abn of the abnormal sample produced is shown in FIGS. It was displayed as ΔΔR on the vertical axis of d). The simulation reflectance RCAL-abn used for the calculation of ΔR-abn was calculated based on the formulation of sample S originally intended to be produced. FIGS. 6A and 6C show ΔΔR of an abnormal sample in which the amount of the chromatic colorant is increased or decreased. In the figure, the thin line near the horizontal line where ΔΔR is 0 is ΔΔR of the toning samples H +, V +, C + recognized as normal. As is apparent from the figure, ΔΔR of the abnormal samples +4172 and −4172 in which the red colorant p-4172 is changed deviates from the horizontal line, and the deviated wavelength range is the absorption wavelength range of P-4172 shown in FIG. From the agreement, the causative colorant can be identified as p-4172. Similarly, in the case of yellow colorant P-4420, since the wavelength range deviating from the horizontal line is the same as the absorption wavelength range of P-4420, it is possible to specify that the colorant responsible is P-4420. . FIG. 6B and FIG. 6D show ΔΔR of the abnormal sample in which the amount of the white colorant and the black colorant in question is increased or decreased. The increase in the white colorant and the decrease in the black colorant are above the horizontal line, the decrease in the white colorant and the increase in the black colorant are below the horizontal line. It cannot be determined whether the colorant is the cause. Further, although the spectral distributions of the white colorant and the black colorant are both flat, ΔΔR shown in FIGS. 6B and 6D is not flat. As described above, the shape of ΔΔR due to the increase / decrease of the white pigment and the black pigment varies depending on the color of the sample, and it cannot be specified which colorant is based on the shape.
[0140]
Therefore, another approach needs to be approached. It is effective to use ΔR-ave of the normal sample to cancel the simulation error.^*On the other hand, if the measured reflectance RREAL-abn of the abnormal sample is corrected by ΔR-ave, it is considered that a composition that is close to the actually mixed composition can be obtained. If a blend that is close to the actual blend can be obtained, compare the blend with the blend that was intended to be prepared, and estimate the colorant that has changed significantly by calculating the rate of change of each colorant. Will be able to. Thereby, it is thought that the colorant which caused it can be specified. The correction of the simulation error of the actually measured reflectance RREAL-abn is based on Expression (38).
RCAL’-abn = RREAL-abn−ΔR-ave (38)
[0141]
The Newton-Raphson method was used for the simulation formulation calculations. First, tristimulus values XRCAL ', YRCAL', and ZRCAL 'are obtained from the spectral reflectance RCAL'-abn of the sample whose composition is to be obtained as a target. Next, an arbitrary initial value is given to Ci in the equation (34), the simulation reflectance RCAL is obtained from the obtained (K / S) mix by the equation (32), and the simulation tristimulus values XRCAL, YRCAL, ZCCAL is obtained, and the differences ΔX, ΔY, ΔZ between the two are obtained from equation (39).
[0142]
R = 1 + (K / S)-((K / S)²+2 (K / S))^1/2(32)
(In the formula, R represents the spectral reflectance of the toned object, K represents the absorption coefficient of the colorant, and S represents the scattering coefficient.)
[0143]

(Where K_i/ S_iIndicates the K / S value obtained from the measured value of the spectral reflectance of the carrier-colored product of each colorant according to the equation (31).₀/ S₀Indicates the K / S value obtained from the measured value of the object to be colored (for example, resin) from the equation (31)._i/ S_aIndicates the relative scattering coefficient of each colorant relative to reference a, and S₀/ S_aIndicates the relative scattering coefficient of the object to be colored with respect to the reference a. )
[0144]
K / S = (1-R)²/ 2R (31)
[0145]
ΔX = ∫λ (RCAL′−abn−RCAL) λsλxλdλ
ΔY = ∫λ (RCAL’-abn-RCAL) λsλyλdλ (39)
ΔZ = ∫λ (RCAL’-abn−RCAL) λsλzλdλ
[0146]
Here, sλ is a spectral distribution of illuminant D65, and xλ, yλ, and zλ are 10 ° visual field CIE color matching functions. The calculation method of the correction amount ΔCi with respect to the initial value was obtained from the equation (40).

[0147]
In Equation (40), if i of Ci is 3, a solution is obtained. By adding the formula (41), Ci of four colors was calculated. k represents the total amount of the colorant and is arbitrarily designated.
C1 + C2 + C3 + C4 = k (41)
[0148]
Correction is made by adding ΔCi calculated in equation (41) to Ci in equation (34), and the color difference with the target is made 0.05 or less by performing loop calculation a few times. The calculated Ci is the blend of the target colorant.
[0149]
The simulation formulation is calculated targeting the abnormal sample RCAL'-abn, and the rate of change of each colorant is calculated for the formulation to be produced. The change in color is due to the change in the ratio of each colorant Ci, but the value of Ci changes as the total amount k of the colorant changes. Therefore, since it is necessary to calculate the formulation by deciding on some standard, the two types of the formulation obtained so that the white colorant is the same amount and the formulation obtained so that the black colorant is the same amount were obtained. . There are two reasons for determining the white colorant and the black colorant in order to identify the white colorant and the change in the amount of the other colorant when the amount of the white colorant is fixed, and the case where the amount of the black colorant is fixed. This is for comparing the change in the amount of the colorant.
[0150]
Table 6 shows the composition of Sample S to be produced. The units in Table 6 are parts by weight. Table 7 shows, as an example, the rate of change in the amount of the self-colorant based on the simulation formulation when YR1 4172 is increased and the formulation to be prepared, and the graph of the rate of change is shown on the upper left side of FIG. . The units in Table 7 are parts by weight. Other graphs are shown only. Each figure represents one sample in two figures. The left side shows the rate of change when the white colorant is made equal, the right side shows the rate of change when the black colorant is made equal, and the suffix of the sample name indicates the production abnormality. Indicates the name of the colorant assumed as the cause.
[0151]
FIG. 7 and FIG. 8 show the case where the causative colorant is a chromatic color. +4172 in Figure 7 except YR6 + 4172, the change rate of 4172 on both the left side (equal to white) and the right side (equal to black) is greater than the change rate of other colorants, which causes an abnormality. Can be identified as an increase of 4172. Similarly, in −1722 of FIG. 7, since the change rate of 4172 is larger than the change rate of other colorants, the colorant causing the abnormality can be specified as a decrease of 4172. Similarly, it can be identified from FIG. 10 that the abnormal colorant is 4420.
[0152]
9 and 10 show cases where the causative colorant is achromatic. At +4050 in FIG. 9, the left side with the same amount of the white colorant greatly reduces the amount of change of the other colorants, but the right side with the same amount of the black colorant shows the white colorant. It can be seen that only the amount of change is large, but the amount of change of the other colorants is small. In such a case, it makes more sense to think that the white colorant has fluctuated rather than that the white colorant has fluctuated equally. From this, it can be specified that the white colorant is the colorant causing the production abnormality. Similarly, -4050 in FIG. 9 can be specified as a decrease of 4050 from the right side. +4710 in FIG. 10 can be specified as an increase of 4710 from the left side. -4710 in FIG. 10 can be identified as a decrease of 4710 from the left side.
[0153]
Example 2
[Identification of unstable coloring agent used in toning sample]
When most of the colorants used are unstable in color, the difference ΔR-n between the measured reflectance RREAL-n and the simulated reflectance RCAL-n of the toned sample (n) is not regular. It is expected that the color is unstable. In this case, since it is always difficult to adjust the color to the required tolerance, it is necessary to reexamine the colorant from the ground up. In the tests and examinations taken up here, most of the colorants registered in the database have high color stability, but some of them are unstable, and the colorants used in the toning sample (n) It is assumed that one color is an unstable colorant. If there is a colorant that is unstable even with one color, ΔR-n of the toning sample (n) has a different value, and thus it cannot be specified which sample of the toning sample (n) is an abnormal sample. However, it is considered that the colorant that caused the change can be identified by examining how ΔR-n changes. FIGS. 11A to 11G are conceptual diagrams for specifying a coloring agent having unstable coloring in the case of three toning samples. The horizontal and vertical axes in the figure are the same as in FIG. 11A to 11C are RREAL (dotted line) and RCAL (solid line) of the toning sample. The first sample {circle around (1)} is an example of steady color development, and the difference between the solid line and the dotted line is a simulation error ΔR. The second sample (2) is an example in which the color development of the red colorant progressed from the steady state, and the third sample (3) is an example in which the color development of the red colorant did not reach the steady state. FIGS. 11D to 11G show the difference ΔR between RREAL and RCAL. Originally, ΔR should be almost the same value, but it is not the same value because there is a colorant whose color development is unstable. FIG. 11 (g) shows the difference in ΔR between the samples (1), (2), (3), and (1)-(2), (2)-(3), and (3)-(1). When the absolute maximum was negative, ΔR was multiplied by −1 and displayed as ΔΔR. By subtracting ΔR between samples, the simulation error is canceled and the abnormal part is extracted. Therefore, ΔΔR of the combination having the maximum value of ΔΔR in FIG. 11 (g) is the maximum fluctuation width of the color development unstable portion of the toned sample. When there are three or more toning samples, the color instability is obtained from ΔΔR of all combinations. By adding or subtracting the coloring instability ΔΔR to the RCAL of any toning sample and calculating the simulation formulation by CCM and examining the rate of change of the formulation as described above, the cause colorant can be identified. It will be possible. It is not necessary to define which color sample is added or subtracted because unstable color development is unspecified, and which color mixing sample is used as a reference. The reason why RCAL is used as a target is that if RCAL is used, no simulation error is added. Since RCAL can be obtained by calculation if the ratio of the colorant is specified, an average blend of toning samples may be used. The test sample is a combination of (S, +4172, -4172), (S, +4420, -4420), (S, +4050, -4050), (S, +4710, -4710), and RCAL In the calculation, the composition of sample S was used, and the rate of change of each colorant was calculated with respect to the composition of S. The results are shown in FIGS. The display method of the figure is the same as in FIGS. The suffix of the sample name in the figure represents the name of the colorant assumed as the cause of the production abnormality. In 4172 of FIG. 12, the change rate of 4172 is larger than the other on both the left side and the right side. In 4420 of FIG. 12, the change rate of 4420 is larger than the other on both the left side and the right side. In 4050 of FIG. 13, it can be seen that the rate of change of 4050 is larger than the other from the right side. In 4710 of FIG. 13, it can be seen that the rate of change of 4710 is larger than the other from the left. Thus, it has been found that each colorant that causes production abnormality can be identified. For example, when there are two colorants causing the abnormality, a red colorant and a yellow colorant, in the sample (2), only the red colorant is abnormal in color, and in the sample (3), only the yellow colorant is abnormal in color. The pattern of ΔΔR in FIG. 11 (g) has a different shape, and ΔΔR of the combination having the maximum value of ΔΔR is not shown as two abnormal colorants. In such a case, it is only necessary to designate which combination of ΔΔR is to estimate the abnormal colorant from ΔΔR in FIG.
[0154]
Example 3
[Estimation of mixed foreign colorants]
In this test and examination, if the color of the toning sample produced in the toning process is different from the color of the inspection sample produced in the production process, it may be due to the difference in coloration due to the difference in the process. It is assumed that it is determined that the colorant has been used, and that the colorant when an unused colorant is mixed is estimated. Add one of the colorants 4510, 4170, 4157, 4440, and 4467 having the spectral reflectance shown in FIGS. ΔE with S^*Was determined by the CCM system. The actually measured values of the prepared samples have color differences set as shown in Table 2. 15A to 15D show the difference ΔΔR between RREAL of samples H +, V +, and C + recognized as normal as in FIG. 6 and ΔR-ave that is the average of ΔR calculated from RCAL. In the figure, the thin line near the horizontal line where ΔΔR is 0 is ΔΔR of the toning samples H +, V +, C + recognized as normal. 15 (a) and 15 (c) are mixed with red colorant 4157 and yellow colorant 4467, and FIGS. 15 (b) and 15 (d) are mixed with red colorant 4170, yellow colorant 4440 and green colorant 4510. This is an example. From the wavelength range where ΔΔR deviates from 0, 400 to 500 nm is yellow colorant, 500 to 600 nm is orange, red, brown, purple colorant, 600 nm to 700 nm is green and blue colorant It turns out that it is a coloring agent. First, it is necessary to determine whether the amount of the self colorant has changed or whether a different colorant has been mixed. In the example in which the green colorant 4510 is mixed, an error occurs in a different wavelength range (in this case, around 640 nm) from the case where the ratio of the self-colorant shown in FIG. The example of the red colorant 4157 is a different colorant because the ΔΔR pattern of 4157 in FIGS. 15A and 15C and the ΔΔR pattern of the self-colorant 4172 in FIGS. 6A and 6C are different. It turns out that was mixed. The yellow colorants 4467 and 4440 cannot be distinguished from each other because of the difference in ΔΔR pattern.
[0155]
Therefore, in order to estimate what kind of colorant is mixed, RCAL'-abn of the abnormally produced sample is calculated by equation (8), and RCAL'-abn is used as a target to combine various colorants on the database. A simulation formulation was determined and the total difference between RCAL-k and RCAL'-abn for that formulation was calculated. In other words, if there is a causative colorant in the CCM database, the match between RCAL-k and RCAL'-abn where the colorant is used should be high, so the sum of spectral reflectance differences is small. It should be. The pigment composition of the CCM database used for the search is shown in Table 8, and the positional relationship of hues is shown in FIG. 16 as Munsell hue circle. The four colors of the colorant to be specified are self-colorants, the fifth color is selected from the CCM database sequentially, the simulation composition is calculated, the total sum of the difference in reflectance is calculated, and the top to the fifth composition in descending order of the sum The names of the fifth colorant are shown in the selection column of Table 9. The name of the colorant in the upper part of the table is the name of the set different colorant. A black frame in the selection column indicates that the colorant name is different. The name of the sixth colorant having four colors indicates the sum of reflectance differences when the amount of the self-colorant is assumed to fluctuate. As shown in Table 9, the green colorant +4510 is selected first, and since the difference from the second and subsequent colors and the sum of the four colors is large, it can be estimated that the colorant is 4510. The yellow colorant 4440 is also selected first, and since the difference from the second and subsequent colors and the sum of the four colors is large, it can be estimated that the colorant is 4440. The example of the red colorant 4157 was also selected first, and the difference from the sum of the four colors was large, indicating that a different colorant was mixed, and that the difference from the second was large was 4157. Can be estimated. Thus, it has been proved that when a colorant having a spectral distribution greatly different from that of the self-colorant is mixed, the mixed colorant can be estimated.
[0156]
[Table 1]

[0157]
[Table 2]

[0158]
[Table 3]

[0159]
[Table 4]

[0160]
[Table 5]

[0161]
[Table 6]

[0162]
[Table 7]

[0163]
[Table 8]

[0164]
[Table 9]

[0165]
【The invention's effect】
According to the identification method of the production abnormality cause colorant in the production abnormality sample by the first and second CCM according to the present invention, the production abnormality cause of the production abnormality sample is the same as that of the normal sample. However, when the blending ratio of the self-colorant is changed due to troubles in the work process or the like, the abnormal production colorant can be identified with high accuracy.
[0166]
According to the method for identifying the production abnormality cause colorant in the production abnormality sample by the third to sixth CCMs according to the present invention, the production abnormality cause of the production abnormality sample is the same as that of the normal sample. However, when the coloring stability of the self-coloring agent itself is impaired due to the aggregation of the coloring agent or the like, the abnormal production colorant can be identified with high accuracy.
[0167]
According to the identification method of the production abnormality cause colorant in the production abnormality sample by the seventh and eighth CCM according to the present invention, the production abnormality cause of the production abnormality sample is mixed with a colorant other than the self-colorant. Thus, it is possible to specify the abnormally produced colorant with high accuracy.
[0168]
The identification method of the production abnormality cause colorant can be executed by being incorporated in the CCM software.
[Brief description of the drawings]
FIG. 1 is a graph showing spectral reflectance and spectral reflectance difference with respect to wavelength (nm).
FIG. 2 is a graph showing spectral reflectance and spectral reflectance difference with respect to wavelength (nm).
FIG. 3 is a graph showing spectral reflectance and spectral reflectance difference with respect to wavelength (nm).
FIG. 4 is a graph showing spectral reflectance with respect to wavelength (nm).
FIG. 5 is a graph showing a spectral reflectance difference with respect to a wavelength (nm).
FIG. 6 is a graph showing the difference in spectral reflectance difference with respect to wavelength (nm).
FIG. 7 is a graph showing the change rate of the blending ratio of each colorant.
FIG. 8 is a graph showing a change rate of a blending ratio of each colorant.
FIG. 9 is a graph showing the change rate of the blending ratio of each colorant.
FIG. 10 is a graph showing the change rate of the blending ratio of each colorant.
FIG. 11 is a graph showing differences in spectral reflectance, spectral reflectance difference, and spectral reflectance difference with respect to wavelength (nm).
FIG. 12 is a graph showing the change rate of the blending ratio of each colorant.
FIG. 13 is a graph showing a change rate of a blending ratio of each colorant.
FIG. 14 is a graph showing spectral reflectance with respect to wavelength (nm).
FIG. 15 is a graph showing a difference in spectral reflectance difference with respect to wavelength (nm).
FIG. 16 is a diagram showing the positions on the Munsell hue ring of each mixed colorant and each colorant in the CCM database.

Claims (7)

After identifying a production abnormality sample and a normal sample from a plurality of toning samples, for the production abnormality sample,
A step of calculating a simulated spectral reflectance RCALabn from a coloring agent blending ratio RAT (RCALabn) originally intended to be produced of the production abnormality sample (ra1);
Step (ra2) of obtaining spectral reflectance RCAL'abn indicating the difference in spectral reflectance at each wavelength between RREABab and ΔRnor-ave according to the following equation (3):
RCAL'abn = RREALabn−ΔRnor-ave (3)
(RREababn: measured spectral reflectance of an abnormally produced sample, ΔRnor-ave: spectral reflectance indicating an arithmetic average of spectral reflectances at each wavelength of each simulation error ΔRnor of at least one normal sample)
Determining a wear colorant wherein the compounding ratio of the white colorant in the blending ratio RAT (RCALabn) white colorant mixing ratio becomes equal so calculated white fixed time colorant blend ratio RATwh (RCAL'abn) ( ra3),
Determining a wear colorant black fixed colorant blend ratio RATbl calculated to equal the compounding ratio of the black colorant of the the mixing ratio of the black colorant in the blending ratio RAT (RCALabn) (RCAL'abn) ( ra4 ),
Calculating a change rate of the colorant blending ratio of the RATwh (RCAL'abn) relative to the RAT (RCALabn) for each colorant to obtain a blending ratio change rate ΔCOMxRATwh (RCAL'abn) of the colorant x when white is fixed ( ra5),
A step of specifying a colorant having an abnormal value as compared with other colorants as ΔCOMxRATwh (RCAL'abn) as an abnormal colorant when white is fixed (ra6);
Calculating a change rate of the colorant blending ratio of the RATbl (RCAL'abn) to the RAT (RCALabn) for each colorant to obtain a blending ratio change rate ΔCOMxRATbl (RCAL'abn) of the colorant x when black is fixed ( ra7),
(Ra8) specifying the colorant that ΔCOMxRATbl (RCAL'abn) exhibits an abnormal value as compared with other colorants as an abnormal colorant when fixed to black; and
Performing a step including the step (ra9) of identifying a colorant corresponding to either or both of the abnormal colorant at the time of white fixation or the abnormal colorant at the time of black fixation as a colorant causing the production abnormality of the production abnormality sample A method for identifying a production-causing colorant in a production abnormality sample by CCM. After identifying a production abnormality sample and a normal sample from a plurality of toning samples, for the production abnormality sample,
A step of calculating a simulation spectral transmittance TCALabn from a colorant blending ratio RAT (TCALabn) originally intended to be produced of the production abnormality sample (ta1),
A step (ta2) of obtaining a spectral transmittance TCAL'abn indicating a difference in spectral transmittance at each wavelength between TREALabn and ΔTnor-ave by the following equation (3 ′);
TCAL'abn = TREALabn−ΔTnor-ave (3 ′)
(TREALabn: measured spectral transmittance of an abnormally produced sample, ΔTnor-ave: spectral transmittance indicating an arithmetic mean of spectral transmittance at each wavelength of each simulation error ΔTnor of at least one normal sample)
Determining a wear colorant wherein the compounding ratio of the white colorant in the blending ratio RAT (TCALabn) white colorant mixing ratio becomes equal so calculated white fixed time colorant blend ratio RATwh (TCAL'abn) ( ta3),
Determining a wear colorant black fixed colorant blend ratio RATbl calculated to equal the compounding ratio of the black colorant of the the mixing ratio of the black colorant in the blending ratio RAT (TCALabn) (TCAL'abn) ( ta4 ),
Calculating a change rate of the colorant blending ratio of the RATwh (TCAL'abn) with respect to the RAT (TCALabn) for each colorant to obtain a blending ratio change rate ΔCOMxRATwh (TCAL'abn) of the colorant x when white is fixed ( ta5),
A step (ta6) of specifying a colorant having an abnormal value as compared to other colorants as ΔCOMxRATwh (TCAL'abn) as an abnormal colorant when white is fixed;
Calculating a change rate of the colorant blending ratio of the RATbl (TCAL'abn) with respect to the RAT (TCALabn) for each colorant to obtain a blending ratio change rate ΔCOMxRATbl (TCAL'abn) of the colorant x when black is fixed ( ta7),
A step (ta8) of identifying a colorant having an abnormal value as compared to other colorants as ΔCOMxRATbl (TCAL'abn) as an abnormal colorant when fixing black;
Performing a step including a step (ta9) of specifying a colorant corresponding to either or both of the white fixing abnormal colorant or the black fixing abnormal colorant as a coloring agent causing the manufacturing abnormal sample. A method for identifying a production-causing cause colorant in a production-abnormal sample by CCM. For multiple toning samples
Step (rb1) for obtaining a spectral reflectance indicating a difference in spectral reflectance at each wavelength between RREALn and RCALn as a simulation error ΔRn of the toned sample n by the following equation (1):
ΔRn = RREALn-RCALn (1)
(RREALn: measured spectral reflectance of toning sample n, RCALn: simulated spectral reflectance of toning sample n)
The spectral reflectance ΔΔRi-j indicating the difference in spectral reflectance at each wavelength between any two toning samples i and the toning sample j in the toning sample is expressed by the following formula (4). Step for obtaining a combination of samples (rb2),
ΔΔRi−j = | ΔRi−ΔRj | (4)
(ΔRi: simulation error of toning sample i, ΔRj: simulation error of toning sample j)
Obtaining the largest ΔΔRi-j among ΔΔRi-j as ΔΔRi-j.lar (rb3);
Even without least determining the spectral reflectance RCALn-ave showing the arithmetic mean of the spectral reflectance in each wavelength of the simulation spectral reflectance of one toning sample (RB4),
A step (rb5) of obtaining a spectral reflectance RCAL ^{* +} n-ave indicating the sum of spectral reflectances at each wavelength of the RCALn-ave and the ΔΔRi-j.lar by the following equation (5):
RCAL ^{* +} n-ave = RCALn-ave + ΔΔRi-j.lar (5)
A step (rb6) of obtaining a colorant blending ratio RAT (RCALn-ave) satisfying RCALn-ave;
Wherein the mixing ratio of the white colorant in the wearing colorant blend ratio RAT (RCALn-ave) of the white colorant mixing ratio becomes equal so calculated white fixed time colorant blend ratio RATwh (RCAL * ⁺ n-ave ) Step (rb7),
Wherein the mixing ratio of the black colorant in the wearing colorant blend ratio RAT (RCALn-ave) of the black colorant blend ratio becomes equal so calculated black fixed upon colorant blend ratio RATbl (RCAL * ⁺ n-ave ) Step (rb8),
The change rate of the colorant compounding ratio of the RATwh (RCAL ^{* +} n-ave) to the RAT (RCALn-ave) is calculated for each colorant, and the change rate of the colorant x when white is fixed ΔCOMxRATwh (RCAL ^{* +} n-ave) step (rb9),
The step of the ^{ΔCOMxRATwh (RCAL * + n-ave} ) identifies a colorant showing an abnormal value as compared with other coloring agents as the white fixing abnormality colorant (Rb10),
The change rate of the colorant compounding ratio of the RATbl (RCAL ^{* +} n-ave) relative to the RAT (RCALn-ave) is calculated for each colorant, and the change ratio ΔCOMxRATbl (RCAL ^{* + of the} colorant x when black is fixed) n-ave) step (rb11),
Identifying the colorant that ΔCOMxRATbl (RCAL ^{* +} n-ave) exhibits an abnormal value as compared with other colorants as an abnormal colorant when fixing black (rb12); and
Performing a process including a step (rb13) of identifying a colorant corresponding to either or both of the abnormal colorant at the time of white fixation or the abnormal colorant at the time of black fixation as a colorant causing the production abnormality of the production abnormality sample. A method for specifying a production abnormality cause colorant in a production abnormality sample by CCM characterized by the following. For multiple toning samples
A step (tb1) of obtaining a spectral transmittance indicating a difference in spectral transmittance at each wavelength between TREALn and TCALn as a simulation error ΔTn of the toned sample n by the following equation (1 ′):
ΔTn = TREALn-TCALn (1 ')
(TREALn: measured spectral transmittance of toning sample n, TCALn: simulated spectral transmittance of toning sample n)
According to the following formula (4 ′), spectral transmittance ΔΔTi-j indicating the difference in spectral transmittance at each wavelength between any two toning samples i and toning sample j in the toning sample is calculated for all toning. Step for obtaining a combination of color samples (tb2),
ΔΔTi−j = | ΔTi−ΔTj | (4 ′)
(ΔTi: simulation error of toning sample i, ΔTj: simulation error of toning sample j)
Obtaining the largest ΔΔTi-j among ΔΔTi-j as ΔΔTi-j.lar (tb3);
Even without least determining the spectral transmittance TCALn-ave showing the arithmetic mean of the spectral transmittance at each wavelength of the simulation spectral transmittance of a single tone color samples (tb4),
A step (tb5) of obtaining a spectral transmittance TCAL ^{* +} n-ave indicating a sum of spectral transmittances at each wavelength of the TCALn-ave and the ΔΔTi-j.lar by the following equation (5 ′):
TCAL ^{* +} n-ave = TCALn-ave + ΔΔTi-j.lar (5 ′)
A step (tb6) of obtaining a colorant blending ratio RAT (TCALn-ave) satisfying the TCALn-ave;
Wherein the mixing ratio of the white colorant in the wearing colorant blend ratio RAT (TCALn-ave) of the white colorant mixing ratio becomes equal so calculated white fixed time colorant blend ratio RATwh (TCAL * ⁺ n-ave ) Step (tb7),
Wherein the mixing ratio of the black colorant in the wearing colorant blend ratio RAT (TCALn-ave) of the black colorant blend ratio becomes equal so calculated black fixed upon colorant blend ratio RATbl (TCAL * ⁺ n-ave ) Step (tb8),
The change rate of the colorant compounding ratio of the RATwh (TCAL ^{* +} n-ave) with respect to the RAT (TCALn-ave) is calculated for each colorant, and the change rate of the colorant x when white is fixed ΔCOMxRATwh (TCAL ^{* +} n-ave) step (tb9),
A step (tb10) of identifying a colorant having an abnormal value as compared to other colorants as ΔCOMxRATwh (TCAL ^{* +} n-ave) as an abnormal colorant when white is fixed (tb10);
The change rate of the colorant blend ratio of the RATbl (TCAL ^{* +} n-ave) relative to the RAT (TCALn-ave) is calculated for each colorant, and the change ratio of the colorant x when black is fixed ΔCOMxRATbl (TCAL ^{* +} n-ave) step (tb11),
A step (tb12) of identifying a colorant having an abnormal value as compared with other colorants as ΔCOMxRATbl (TCAL ^{* +} n-ave) as an abnormal colorant when fixing black (tb12);
Performing a step including a step (tb13) of identifying a colorant corresponding to either or both of the abnormal colorant at the time of white fixation or the abnormal colorant at the time of black fixation as a colorant causing the production abnormality of the production abnormality sample. A method for identifying a production abnormality cause colorant in a production abnormality sample by CCM characterized by For multiple toning samples
A step (rc1) of obtaining a spectral reflectance indicating a difference in spectral reflectance at each wavelength between RREALn and RCALn as a simulation error ΔRn of the toned sample n by the following equation (1):
ΔRn = RREALn-RCALn (1)
(RREALn: measured spectral reflectance of toning sample n, RCALn: simulated spectral reflectance of toning sample n)
The spectral reflectance ΔΔRi-j indicating the difference in spectral reflectance at each wavelength between any two toning samples i and the toning sample j in the toning sample is expressed by the following formula (4). Step (rc2) for obtaining a combination of samples,
ΔΔRi−j = | ΔRi−ΔRj | (4)
(ΔRi: simulation error of toning sample i, ΔRj: simulation error of toning sample j)
Calculating the largest ΔΔRi-j among the ΔΔRi-j as ΔΔRi-j.lar (rc3);
Even without least determining the spectral reflectance RCALn-ave showing the arithmetic mean of the spectral reflectance in each wavelength of the simulation spectral reflectance of one toning sample (rc4),
A step (rc5) of obtaining a spectral reflectance RCAL ^* -n-ave indicating a difference in spectral reflectance at each wavelength between the RCALn-ave and the ΔΔRi-j.lar by the following equation (6):
RCAL ^* -n-ave = RCALn-ave-ΔΔRi-j.lar (6)
A step (rc6) of determining a colorant blending ratio RAT (RCALn-ave) satisfying RCALn-ave;
Wherein the mixing ratio of the white colorant in the wearing colorant blend ratio RAT (RCALn-ave) of the white colorant mixing ratio becomes equal so calculated white fixed time colorant blend ratio RATwh (RCAL * - ^n-ave ) Step to find (rc7),
Wherein the mixing ratio of the black colorant in the wearing colorant blend ratio RAT (RCALn-ave) of the black colorant blend ratio becomes equal so calculated black fixed upon colorant blend ratio RATbl (RCAL * - ^n-ave ) Step (rc8),
The rate of change of the colorant blend ratio of the RATwh (RCAL ^* -n-ave) relative to the RAT (RCALn-ave) is calculated for each colorant, and the change rate of the colorant x when white is fixed ΔCOMxRATwh (RCAL ^*- n-ave) step (rc9),
A step (rc10) of identifying a colorant having an abnormal value as compared to other colorants as ΔCOMxRATwh (RCAL ^* -n-ave) as an abnormal colorant when white is fixed (rc10);
The RATbl for the RAT (RCALn-ave) (RCAL * - n-ave) of the black fixed during compounding ratio rate of change of the rate of change of the colorant blending ratio is calculated for each colorant colorant x ΔCOMxRATbl (RCAL * ^- n-ave) step (rc11),
Identifying the colorant that ΔCOMxRATbl (RCAL ^* -n-ave) exhibits an abnormal value as compared with other colorants as an abnormal colorant when fixing black (rc12), and
Performing a step including a step (rc13) of identifying a colorant corresponding to either or both of the white fixing abnormal colorant or the black fixing abnormal colorant as a colorant causing the production abnormality of the production abnormality sample. A method for specifying a production abnormality cause colorant in a production abnormality sample by CCM characterized by the following. For multiple toning samples
A step (tc1) of obtaining a spectral transmittance indicating a difference in spectral transmittance at each wavelength between TREALn and TCALn as a simulation error ΔTn of the toned sample n by the following equation (1 ′);
ΔTn = TREALn-TCALn (1 ')
(TREALn: measured spectral transmittance of toning sample n, TCALn: simulated spectral transmittance of toning sample n)
According to the following formula (4 ′), spectral transmittance ΔΔTi-j indicating the difference in spectral transmittance at each wavelength between any two toning samples i and toning sample j in the toning sample is calculated for all toning. Step for obtaining a combination of color samples (tc2),
ΔΔTi−j = | ΔTi−ΔTj | (4 ′)
(ΔTi: simulation error of toning sample i, ΔTj: simulation error of toning sample j)
Obtaining the largest ΔΔTi-j among ΔΔTi-j as ΔΔTi-j.lar (tc3);
Even without least determining the spectral transmittance TCALn-ave showing the arithmetic mean of the spectral transmittance at each wavelength of the simulation spectral transmittance of a single tone color samples (tc4),
A step (tc5) of obtaining a spectral transmittance TCAL ^* -n-ave indicating a difference in spectral transmittance at each wavelength between the TCALn-ave and the ΔΔTi-j.lar by the following equation (6 ′):
TCAL ^* -n-ave = TCALn-ave-ΔΔTi-j.lar (6 ')
A step (tc6) of obtaining a colorant blending ratio RAT (TCALn-ave) satisfying TCALn-ave;
Wherein the mixing ratio of the white colorant in the wearing colorant blend ratio RAT (TCALn-ave) of the white colorant mixing ratio becomes equal so calculated white fixed time colorant blend ratio RATwh (TCAL * - ^n-ave ) Step (tc7),
Wherein the mixing ratio of the black colorant in the wearing colorant blend ratio RAT (TCALn-ave) of the black colorant blend ratio becomes equal so calculated black fixed upon colorant blend ratio RATbl (TCAL * - ^n-ave ) Step (tc8)
The change rate of the colorant blending ratio of the RATwh (TCAL ^* -n-ave) to the RAT (TCALn-ave) is calculated for each colorant, and the change ratio ΔCOMxRATwh (TCAL ^*- n-ave) step (tc9),
A step (tc10) of identifying a colorant having an abnormal value as compared with other colorants as ΔCOMxRATwh (TCAL ^* -n-ave) as an abnormal colorant when white is fixed;
The change rate of the colorant compounding ratio of the RATbl (TCAL ^* -n-ave) to the RAT (TCALn-ave) is calculated for each colorant, and the change rate of the colorant x when black is fixed ΔCOMxRATbl (TCAL ^*- n-ave) step (tc11),
A step (tc12) of specifying a colorant in which ΔCOMxRATbl (TCAL ^* -n-ave) exhibits an abnormal value as compared with other colorants as an abnormal colorant when fixing black;
Performing a step including a step (tc13) of specifying a colorant corresponding to either or both of the abnormal colorant at the time of white fixation or the abnormal colorant at the time of black fixation as a colorant causing the production abnormality of the production abnormality sample. A method for specifying a production abnormality cause colorant in a production abnormality sample by CCM characterized by the following. The method for specifying a production abnormality in a production abnormality sample by CCM according to any one of claims 1 to 6, wherein the method is executed by being incorporated in CCM software.

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