JPH02106315A - Automatic setting method for quality judgment reference value of molding - Google Patents

Automatic setting method for quality judgment reference value of molding

Info

Publication number
JPH02106315A
JPH02106315A JP25735088A JP25735088A JPH02106315A JP H02106315 A JPH02106315 A JP H02106315A JP 25735088 A JP25735088 A JP 25735088A JP 25735088 A JP25735088 A JP 25735088A JP H02106315 A JPH02106315 A JP H02106315A
Authority
JP
Japan
Prior art keywords
value
reference value
variable data
variable
quality
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP25735088A
Other languages
Japanese (ja)
Other versions
JP2862881B2 (en
Inventor
Tetsuo Neko
根子 哲郎
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fanuc Corp
Original Assignee
Fanuc Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Fanuc Corp filed Critical Fanuc Corp
Priority to JP63257350A priority Critical patent/JP2862881B2/en
Publication of JPH02106315A publication Critical patent/JPH02106315A/en
Application granted granted Critical
Publication of JP2862881B2 publication Critical patent/JP2862881B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B29WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
    • B29CSHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
    • B29C45/00Injection moulding, i.e. forcing the required volume of moulding material through a nozzle into a closed mould; Apparatus therefor
    • B29C45/17Component parts, details or accessories; Auxiliary operations
    • B29C45/76Measuring, controlling or regulating
    • B29C45/766Measuring, controlling or regulating the setting or resetting of moulding conditions, e.g. before starting a cycle

Landscapes

  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Mechanical Engineering (AREA)
  • Injection Moulding Of Plastics Or The Like (AREA)

Abstract

PURPOSE:To set a reference value accurately and simply, and simplify the trouble by constituting such that the maximum value and the minimum value of variable data detected at each molding cycle is set automatically as the reference value of a variation at a reference value setting mode. CONSTITUTION:The maximum value, minimum value, and the average value of each variable date up to the present of the reference value setting mode are memorized in a register at each time of completion of molding cycle. The molding cycle is carried out in appropriate times at a reference value setting mode, and when it is returned to an ordinary molding mode, the value of the variable data detected at each time of completion of respective molding cycles is judged whether or not being in the range denoted by the register memorizing the maximum value and the minimum value of variable data within a common RAM 14. Should it be within the range, the next variable data is judged whether being in the maximum value and the minimum value, and if any one of the detected variable data may not be in the maximum value and the minimum value, the display of effects is performed on the CRT screen of CRT/MDI 17.

Description

【発明の詳細な説明】 産業上の利用分野 本発明は、射出成形機で成形される成形品の良否を判別
するための判別基準値を自動設定する方法に関する。
DETAILED DESCRIPTION OF THE INVENTION Field of the Invention The present invention relates to a method for automatically setting determination reference values for determining the quality of molded products molded by an injection molding machine.

従来の技術 射出成形機の各成形サイクルで成形された成形品の良否
を判別する方法として、クツション量、即ち保圧終了時
のスクリュー位置が、成形品を良品と判定できる設定基
準値内にあるが否かによって判別したり、さらには、射
出時間、計量時間が設定基準値内にあるが否かによって
判別する方法が知られている。また、ピーク射出圧力に
よって成形品の良否の判別を行う方法も知られている。
Conventional technology As a method of determining the quality of molded products molded in each molding cycle of an injection molding machine, the amount of cushioning, that is, the screw position at the end of holding pressure, is within a set standard value that allows the molded product to be judged as a good product. There are known methods for determining whether or not the injection time and metering time are within set reference values. Furthermore, a method of determining the quality of a molded product based on peak injection pressure is also known.

さらには、射出開始から所定時間経過した時点における
スクリュー位置が設定基準値内にあるか否かによって成
形品良品を判別する方法も提案されている(特願昭63
−153599号)。
Furthermore, a method has been proposed in which a molded product is determined to be of good quality based on whether or not the screw position after a predetermined period of time has elapsed from the start of injection (Japanese Patent Application No. 63
-153599).

発明が解決しようとする課題 しかし、従来の方法はいずれも、成形品の良否を判別す
るための基準値は、オペレータが手動入力によって設定
している。即ち、何回か成形品を製造し、そのとき得ら
れる成形品及び成形ザイクルにおける成形品の良否を判
別するための変量データより、良品を得るための該変量
データの基準値の上限値、下限値を求め、これらの値に
基いて、オペレータの経験等により手動で射出成形機に
設定していた。例えば、成形品良否判別の変量データを
クツション吊とすると、何回か成形を行って良品の得ら
れるクツション予の上限、下限値を求めて、この上限、
下限値に基いて成形品良否判別のための基準値を設定し
ている。しかし、この方法ではオペレータの個人差によ
って基準値にばらつきが生じ、また、最適な基準値を決
定するまでに手数を要するという欠点がある。
Problems to be Solved by the Invention However, in all conventional methods, reference values for determining the quality of a molded product are set by manual input by an operator. In other words, from the variable data for determining the quality of the molded product obtained at that time and the molded product in the molding cycle after manufacturing a molded product several times, the upper and lower limits of the reference value of the variable data for obtaining a non-defective product are determined. The values were determined, and based on these values, the settings were manually set in the injection molding machine based on the operator's experience. For example, if the variable data for determining the quality of a molded product is cushion suspension, the upper and lower limits of the cushion that can yield a good product are determined by performing molding several times.
Based on the lower limit value, a reference value is set for determining the quality of molded products. However, this method has the disadvantage that the reference values vary due to individual differences among operators, and that it takes time and effort to determine the optimal reference value.

そこで、本発明の目的は、上記成形品良否判別のための
基準値を射出成形機自体が自動的に決定し、設定する方
法を提供することにある。
SUMMARY OF THE INVENTION Therefore, an object of the present invention is to provide a method in which the injection molding machine itself automatically determines and sets the reference value for determining the quality of the molded product.

課題を解決するための手段 上記課題を解決するために、本発明は、射出成形機に、
基準値設定モードを設け、該基準値設定モードで射出成
形機を稼動させ何回か成形を行わせる。そして、該基準
i設定モードにおける各成形サイクルで検出された成形
品良否判別のための変量データ(例えばクツション吊等
)の最大値及び最小値を成形品良否判別の基準値として
自動的に設定する。
Means for Solving the Problems In order to solve the above problems, the present invention provides an injection molding machine with the following features:
A reference value setting mode is provided, and the injection molding machine is operated in the reference value setting mode to perform molding several times. Then, the maximum and minimum values of the variable data (for example, cushion suspension, etc.) for determining the quality of the molded product detected in each molding cycle in the standard i setting mode are automatically set as the reference values for determining the quality of the molded product. .

また、基準値設定モードにおける各成形サイクルで検出
された上記変量データの平均と標準偏差を求めて、該平
均と標準偏差より、成形品良否判別のための変量データ
の1値としての最大値。
Further, the average and standard deviation of the variable data detected in each molding cycle in the reference value setting mode are determined, and from the average and standard deviation, the maximum value as one value of the variable data for determining the quality of the molded product is determined.

最小値を自動的に設定するようにする。Set the minimum value automatically.

作  用 基準値設定モードで得られた各成形サイクルにおける上
記変量データの値の最大値、最小値を求めて、この最大
値、最小値を基準値の最大値、最小値として自動的に設
定するから、オペレータの個人差による設定値のばらつ
きや基準値設定のための判断、設定手順等、面倒な操作
を行う必要なく最適な基準値設定が容易にできる。
The maximum and minimum values of the above variable data in each molding cycle obtained in the operation reference value setting mode are determined, and these maximum and minimum values are automatically set as the maximum and minimum values of the reference value. Therefore, it is possible to easily set the optimum reference value without having to perform troublesome operations such as variations in setting values due to individual differences among operators, judgments for setting the reference value, and setting procedures.

実施例 第3図は、本発明の一実施例の射出成形機における制御
装置としてのNC装置の要部ブロック図で、NC装置1
はNC用のマイクロプロセッサ(以下、CPLIという
)2と、プログラマブル・マシン・コントローラ(以下
、PMCという)用のCPU3を有しており、PMC用
CPU3には射出成形機のシーケンスプログラムを記憶
したROM5、及び、データの記憶演算等に利用される
RAM6が接続され、NC用CPU2には射出成形機を
全体的に制御する制御プログラムを記憶したROM7.
データの一時記憶、演算等に利用されるRAM8及びサ
ーボインタフェイス9を介して、射出用、クランプ用、
スクリュー回転用、エジェクタ用の各軸のサーボモータ
を駆動制御するサーボ回路10〜13が接続され、該サ
ーボ回路10〜13には、各軸のサーボモータ及び各サ
ーボモータの回転位置を検出する検出器が接続され、ま
た、出力回路16から出力されるトルクリミッタ値を受
信しく第3図中では接続関係を省略)、サーボモータの
位置、速度、トルクを制御している。また、14はCM
OSメモリやバブルメモリで構成される不揮発性の共有
RAMで、射出成形機の各動作を制御するNCプログラ
ムや模述の各種設定lia等を記憶するものである。1
7はCR7表示装置付手動データ入力装置(以下、CR
T/MDIという)で、該CRT/MD I 17は、
インタフェイス18を介してバスアービタコントローラ
(以下、8ACという)4に接続され、該8A C4ニ
ハN G用CPU2及びPMC用CPU3゜共有RAM
14.入力回路15.出力回路16の各バスが接続され
、該BAC4によって使用するバスを制御するようにな
っている。入力回路15には射出成形機に取付けられた
各種センサが接続され、出力回路16には各種アクチュ
エイタが接続されている。以上の構成は、従来のNC装
置で制御される射出成形機のNC装置の構成と変るとこ
ろはない。
Embodiment FIG. 3 is a block diagram of main parts of an NC device as a control device in an injection molding machine according to an embodiment of the present invention.
has a microprocessor (hereinafter referred to as CPLI) 2 for NC and a CPU 3 for programmable machine controller (hereinafter referred to as PMC), and the PMC CPU 3 includes a ROM 5 that stores sequence programs for the injection molding machine. , and a RAM 6 used for data storage calculations etc. are connected, and the NC CPU 2 is connected to a ROM 7. which stores a control program for controlling the injection molding machine as a whole.
For injection, clamping,
Servo circuits 10 to 13 that drive and control the servo motors of each axis for screw rotation and ejector are connected, and the servo circuits 10 to 13 have a detection circuit that detects the servo motor of each axis and the rotational position of each servo motor. The servo motor is connected to the servo motor and receives the torque limiter value output from the output circuit 16 (the connection relationship is omitted in FIG. 3), thereby controlling the position, speed, and torque of the servo motor. Also, 14 is a commercial
A nonvolatile shared RAM composed of an OS memory and a bubble memory, which stores NC programs that control each operation of the injection molding machine, various settings lia, etc. 1
7 is CR7 manual data input device with display device (hereinafter referred to as CR
T/MDI), the CRT/MD I 17 is
It is connected to the bus arbiter controller (hereinafter referred to as 8AC) 4 via the interface 18, and the 8A C4 NihaNG CPU 2 and PMC CPU 3 share RAM.
14. Input circuit 15. Each bus of the output circuit 16 is connected, and the bus to be used is controlled by the BAC 4. Various sensors attached to the injection molding machine are connected to the input circuit 15, and various actuators are connected to the output circuit 16. The above configuration is the same as the configuration of the NC device of an injection molding machine controlled by a conventional NC device.

次に、成形品良否判別のための基準値設定処理について
、以下説明する。
Next, the reference value setting process for determining the quality of the molded product will be described below.

各種成形条件を調節し、良品の成形品が得られる安定し
た状態になった後、CRT/MD I 17を操作し、
基準値設定モードにして射出成形機を稼動させる。射出
成形機は型閉じ、型締、射出。
After adjusting various molding conditions and achieving a stable state in which a good molded product can be obtained, operate the CRT/MD I 17,
Operate the injection molding machine in reference value setting mode. Injection molding machines close the mold, clamp the mold, and inject.

保圧、計量、冷却、型開きの各工程からなる成形サイク
ルを繰返し行い、成形品を成形する。そして、従来と同
様、この成形サイクル中に成形品の良否判別のための変
量データ、例えばクツション量、!8出時間、計量時間
、さらには、ピーク射出圧や計量完了位置等を検出し、
共有RAM14内に記憶する。一方、型開きが完了し、
−成形サイクルが終了すると、PMC用CPU3は第1
図に示す基準値設定または成形品良否判別の処理を開始
する。
A molded product is formed by repeating a molding cycle consisting of the steps of holding pressure, measuring, cooling, and opening the mold. Then, as in the past, during this molding cycle, variable data for determining the quality of the molded product, such as the cushion amount! 8. Detects exit time, metering time, peak injection pressure, metering completion position, etc.
It is stored in the shared RAM 14. Meanwhile, the mold opening is completed,
- When the molding cycle ends, the PMC CPU 3
The process of setting the reference value or determining the quality of the molded product shown in the figure is started.

型開き完了信号が出され、−成形サイクルが終了すると
、PMC用CPU3は、まず、基準値設定モードか否か
判断しくステップS1)、基準値設定モードに設定され
ていると、基準f1設定モードにおける成形サイクルを
計数する指標jを「1」インクリメントしくなお、この
指標jは射出成形機稼動開始時に初期設定され、1゛0
」が設定されている)、成形品の良否を判別するための
変量を設定する指標11及び、共有RAM14中に設け
られた各変量データ1(x)(i=o〜(n−1))の
最大値、最小値を記憶するレジスタRO(n+ax)〜
R(n−1)  (wax)  、  RO(sin)
  〜R(n−1)  (win)  及び変量データ
i(x )の加算値を記憶する加算レジスタRO(su
m) 〜R(n−1) (sum)を「0」にセットす
る(ステップ82)。次に、成形サイクル中に検出され
、共有RAM14内に記憶されている当該成形サイクル
の指標i (−0)で指定される変量のデータ1(x)
(例えばクツション量)を読出し、該変量データi(x
 )の最大値を記憶するレジスタRi (Ilax)と
比較しくステップS3)、検出変量データ1(×)が大
きければ(始めは、R1(wax)=Oであり、変量デ
ータi(X )の方が大きい)、最大値を記憶するレジ
スタRi (a+ax)にこの変量データi(X )を
格納する(ステップ84)。
When the mold opening completion signal is issued and the molding cycle ends, the PMC CPU 3 first determines whether or not it is in the reference value setting mode (step S1), and if it is set in the reference value setting mode, it changes to the reference f1 setting mode. The index j that counts the molding cycles in is incremented by "1". This index j is initially set at the start of operation of the injection molding machine, and
” is set), an index 11 for setting variables for determining the quality of the molded product, and each variable data 1(x) (i=o to (n-1)) provided in the shared RAM 14. Register RO(n+ax) to store the maximum and minimum values of
R(n-1) (wax), RO(sin)
~R(n-1) (win) and an addition register RO(su
m) ~R(n-1) (sum) is set to "0" (step 82). Next, data 1(x) of the variable specified by the index i (-0) of the molding cycle detected during the molding cycle and stored in the shared RAM 14
(for example, the amount of cushion), and read out the variable data i(x
), if the detected variable data 1(x) is larger than the register Ri (Ilax) that stores the maximum value of is large), this variable data i(X) is stored in the register Ri (a+ax) that stores the maximum value (step 84).

なお、変量データ1(×)がレジスタRi (wax)
の値以下であれば、このステップS4の処理は行わない
Note that the variable data 1 (×) is the register Ri (wax)
If the value is less than or equal to the value of , the process of step S4 is not performed.

次に、基準値モードの成形サイクルを計数する指標jが
「1」か否か判断しくステップ85)、「1」ならば検
出変量データi(X )を当該変量データの最小値を記
憶するレジスタRi (akin)に格納する(ステッ
プ87)。また、指標jが[1−1でなければ、既にレ
ジスタRi (Win)には、当該成形サイクル前の最
小値が記憶されているので、当該成形サイクルの検出変
量データi(x )とレジスタRr (mtn)の値を
比較しくステップS6)、検出変量データi(x )が
小さいときのみ、レジスタRi (sin)の値を検出
変量データi(x )に書き変える(ステップ87)。
Next, it is determined whether the index j for counting molding cycles in the reference value mode is "1" (step 85), and if it is "1", the detected variable data i(X) is stored in a register that stores the minimum value of the variable data. The data is stored in Ri (akin) (step 87). Furthermore, if the index j is not [1-1, the minimum value before the molding cycle is already stored in the register Ri (Win), so the detected variable data i(x) of the molding cycle and the register Rr (mtn) is compared (step S6), and only when the detected variable data i(x) is small, the value of the register Ri (sin) is rewritten to the detected variable data i(x) (step 87).

次に、各成形サイクルの当該変量データi(x )の合
計を記憶する加算レジスタRi (Suit)に変量デ
ータi(x )を加算しくステップS8)、指標j1即
ち加算レジスタRi (Sum)に変量データ1(×)
を加算した数(成形サイクルの数)で加算レジスタRi
 (Sulm)を除し、当該変量データi(x )の平
均値を記憶するレジスタR1に書込む(ステップ89)
。そして、指標iを「1」インクリメントしくステップ
510)、該指標iが良否判別のために使用する変量の
数n以上か否か判断しくステップ511)、小さければ
再びステップ83以下の処理を行う。
Next, the variable data i(x) is added to the addition register Ri (Suit) that stores the sum of the variable data i(x) of each molding cycle (Step S8), and the variable data is added to the index j1, that is, the addition register Ri (Sum). Data 1 (×)
(the number of molding cycles) is added to the addition register Ri.
(Sulm) and writes the average value of the variable data i(x) to the register R1 that stores it (step 89).
. Then, the index i is incremented by "1" (step 510), and it is determined whether the index i is greater than or equal to the number n of variables used for quality determination (step 511), and if it is smaller, the processes from step 83 onwards are performed again.

即ち、良否判別を1つの変量データ、例えばクツション
量で行うとすればn=1であり、ステップ311でi 
=n=1と判断され、この処理は終了する。その結果、
クツション量の最大値、最小値。
That is, if quality determination is performed using one variable data, for example, the amount of cushioning, n=1, and in step 311, i
=n=1, and this process ends. the result,
Maximum and minimum values of cushion amount.

平均値がレジスタRO(wax) 、 RO(sin)
 、 ’F(0に格納されていることとなる。また、良
否判別のための変量が、例えば、クツションM、射出時
間。
The average value is the register RO(wax), RO(sin)
, 'F(0). Also, variables for determining quality are, for example, cushion M and injection time.

計量時間の3つであると、n=3で各変量の最大値、最
小値、平均値がレジスタRO(n+ax)〜R2(−a
x)  、  RO(1n)  〜R2(akin) 
 、  RO〜R2に格納されることとなる。
If there are three measurement times, n=3 and the maximum value, minimum value, and average value of each variable are in registers RO(n+ax) to R2(-a
x), RO(1n) ~R2(akin)
, RO to R2.

以下、成形サイクル終了する毎にステップ81〜S11
の処理を繰返し、基準値設定モードにおける現在までの
各変量データの最大値、最小値。
Thereafter, each time the molding cycle ends, steps 81 to S11
Repeat the process to obtain the maximum and minimum values of each variable data up to now in the reference value setting mode.

平均値がレジスタRi (n+ax) 、 Ri (w
in) 、 r’(に記憶されることとなる。
The average value is the register Ri (n+ax), Ri (w
in), r'(.

基準値設定モードで成形サイクルを適当な回数行い、オ
ペレータが基準gri設定モードをオフにし、通常の成
形モードにすると、以模は、各成形サイクルが終了する
毎にステップS1からステップS12へ移行し、変量デ
ータの指標1を「0」にセットし、当該成形サイクルで
検出された指標iで示される変量データi(x )の値
が、共有RAM14内の当該変向データの最大値、最小
値を記憶するレジスタRi (n+in) 、 Ri 
(max)で示される範囲内にあるか否か、即ち、Ri
 (1n)≦i(x )≦Ri (max)であるか否
か判断され(ステップ513)、範囲内にあれば指標1
を「1」インクリメントし、次の変向データも、当該変
農データの最大値Ri (wax) 、 R小値Ri 
(sin)内にあるか否か判断され、指標iが変量の数
nになるまで(ステップ515)、ステップ813〜3
15の処理が行われ、その間1つでも検出変量データi
(x )が最大値、最小値内にないとき(Ri (1n
)≦i(x )≦Rt (+max)でないとぎ)、C
RT/MD117のCRT画面に不良品である旨の表示
を行う(ステップ816)。
The molding cycle is performed an appropriate number of times in the reference value setting mode, and when the operator turns off the reference gri setting mode and enters the normal molding mode, the process moves from step S1 to step S12 after each molding cycle is completed. , the variable data index 1 is set to "0", and the value of the variable data i(x) indicated by the index i detected in the relevant molding cycle is the maximum value and minimum value of the relevant direction change data in the shared RAM 14. A register Ri (n+in) that stores Ri
(max), that is, Ri
It is determined whether (1n)≦i(x)≦Ri (max) (step 513), and if it is within the range, the index 1
is incremented by "1", and the next change data is also the maximum value Ri (wax) and the R minimum value Ri of the change data.
(sin), and until the index i reaches the number n of variables (step 515), steps 813 to 3
15 processes are performed, during which at least one detected variable data i
When (x) is not within the maximum and minimum values (Ri (1n
)≦i(x)≦Rt (+max)), C
A message indicating that the product is defective is displayed on the CRT screen of the RT/MD 117 (step 816).

以下、成形サイクルが終了する毎に、ステップS1.8
12〜816の処理を行い、成形品の良否判別を行うこ
ととなる。
Thereafter, each time the molding cycle ends, step S1.8
Processes 12 to 816 are performed to determine whether the molded product is good or bad.

なお、ステップS9で変量データ1(X)の平均値R1
を求めたが、これは、変量データi(x )の平均値と
して表示するためのもので、成形品の良否判別には使用
しない。そのため、ステップS8゜S9の処理は本発明
においては直接必要としていない。
In addition, in step S9, the average value R1 of the variable data 1 (X)
was calculated, but this is to be displayed as the average value of the variable data i(x), and is not used to determine the quality of the molded product. Therefore, the processes of steps S8 and S9 are not directly required in the present invention.

上記実施例では、基準値設定モードにおける全成形サイ
クル内での変量データの最大値、最小値を求めて、これ
を当該変量データの基準値としたが、変量データが正規
分布すると考え、各変量データ毎、その平均値及び標準
偏差を求め、これにより、各変量データの基準値の最大
値、最小値を求めてもよい。即ち、1種類の変量データ
×1例えば、クツション量に対し3個のデータを求めた
とすると、その平均又は、又−x/j  として求めら
れ、また、標準偏差σは次式で求められる。
In the above example, the maximum and minimum values of the variable data within all molding cycles in the reference value setting mode were determined and used as the reference value for the variable data. However, considering that the variable data is normally distributed, each variable The average value and standard deviation may be determined for each data item, and thereby the maximum value and minimum value of the reference value of each variable data may be determined. That is, one type of variable data x 1 For example, if three pieces of data are obtained for the amount of cushioning, the average or -x/j is obtained, and the standard deviation σ is obtained using the following equation.

とすれば、第(4)式は、 そこで、各成形サイクルで検出されたデータXを順次レ
ジスタR1に加算し、また、該データの2乗×2をレジ
スタR2に加算するとすれば、即ち、 となり、正規分布では(又−3σ)とく又+3σ)の間
に99.7%のデータが含まれることとなるから、この
(又−3σ)、(又+3σ)を当該変量データの最小値
、最大値と設定するようにしてもよい。
Then, Equation (4) is as follows: If the data X detected in each molding cycle is sequentially added to register R1, and the square of the data x 2 is added to register R2, then, Therefore, in the normal distribution, 99.7% of the data is included between (also -3σ) and Kumata +3σ), so let this (also -3σ) and (also +3σ) be the minimum value of the relevant variable data, It may be set to the maximum value.

上記第1の実施例が成形条件を設定し、安定した成形が
得られる状態で基準値設定モードにして、最大値、最小
値を求めたことに対し、この平均と標準偏差により最大
値、最小値を基準値として設定する方法は、成形条件を
設定した後、直ちに基準値設定モードにして、第1の実
施例より基準値設定モードでの成形サイクルの数を多く
するようにすればよい。
In contrast to the above first embodiment, in which the molding conditions are set and stable molding is obtained, the maximum value and minimum value are determined by setting the standard value setting mode. A method for setting a value as a reference value is to immediately enter the reference value setting mode after setting the molding conditions, and to increase the number of molding cycles in the reference value setting mode than in the first embodiment.

この平均と標準偏差による基準1itI設定方法を第2
の実施例として第2図に示す。
The second standard 1itI setting method using this average and standard deviation
An example of this is shown in FIG.

まず、第1の実施例と同様に、成形サイクルが終了する
毎に第2図に示す処理を行い、基準値設定モードであれ
ば(ステップ521)、基準If1設定モードにおける
成形サイクルの数を計数する指標jを「1」インクリメ
ントしくなお、初期値は第1の実施例と同様に「0」で
ある)、変量を示す指標i、及び、変mデータi(x 
)の加算値及び変量データの2乗i(x ) 2の加n
値を記憶するレジスタRi1.Ri2 (i=1〜(n
−1))をrOJにセットする(ステップ522)。そ
して、当該成形サイクルで検出した変量データi(x 
)及びその2乗i(x ) 2を各々レジスタRt1.
Rt2に加算しくステップ323.824)、指標jが
「1」か否か判断しくステップ525)、「1.1なら
ば、標準偏差、平均は求める必要がないからステップS
30へ移行し、「1」でなければ第(4)式で示す演算
を当該変11iに対して行い、当該変liの標準偏差σ
iを求める(ステップ826)。次に、当該変量iの平
均Ril/j=f7iを求め、求めた平均Riに標準偏
差σiの3倍を加算した値を当該変liの最大値として
レジスタRi (wax)に書込む(ステップ828)
、また、平均Rjから標準偏差σiの3倍を減じた値を
最小値としてレジスタRi (lain)に書込む(ス
テップ529)。そして、指標iを1°1」インクリメ
ントしくステップ530)、指標iが変量の数nに達し
てなければ(ステップ531)、達するまでステップ8
23〜831の処理を繰返し、i=nとなる当該処理を
終了する。以下、各成形サイクルが終了する毎にステッ
プ821〜831の処理を行い、各変量iの最大値、最
小値をレジスタRi (saX) 、 Ri (sin
)に記憶させる。
First, as in the first embodiment, the process shown in FIG. 2 is performed every time a molding cycle ends, and if it is in the reference value setting mode (step 521), the number of molding cycles in the reference If1 setting mode is counted. Increment the index j by "1", the initial value is "0" as in the first embodiment), the index i indicating the variable, and the variable m data i (x
) and the square of the variable data i(x) 2 addition n
A register Ri1. that stores a value. Ri2 (i=1~(n
-1)) is set to rOJ (step 522). Then, the variable data i(x
) and its square i(x) 2 are respectively stored in registers Rt1.
Steps 323 and 824) to add it to Rt2, step 525 to judge whether index j is "1" or not, and step 525) to determine whether the index j is "1".
30, if it is not "1", perform the calculation shown in equation (4) on the variable 11i, and calculate the standard deviation σ of the variable li.
Find i (step 826). Next, the average Ril/j=f7i of the variable i is calculated, and the value obtained by adding three times the standard deviation σi to the calculated average Ri is written in the register Ri (wax) as the maximum value of the variable li (step 828 )
, and writes the value obtained by subtracting three times the standard deviation σi from the average Rj into the register Ri (lain) as the minimum value (step 529). Then, the index i is incremented by 1°1'' (step 530), and if the index i does not reach the number n of variables (step 531), step 8 until the index i reaches the number n of variables.
The processes from 23 to 831 are repeated, and the process ends when i=n. Thereafter, steps 821 to 831 are performed every time each molding cycle ends, and the maximum and minimum values of each variable i are stored in registers Ri (saX) and Ri (sin
).

そして、基準値設定モードで成形サイクルを適当回数行
い、通常の成形モードに切換えると、PMC用C;PU
3はステップ821からステップS32へ移行し、成形
品の良否判断を行うこととなる。この良否判断処理(ス
テップ532)は第1の実施例と同様で、第1図のステ
ップ812〜816の処理であり、説明は省略する。
Then, when the molding cycle is performed an appropriate number of times in the reference value setting mode and switched to the normal molding mode, the PMC C;
Step 3 moves from step 821 to step S32, where it is determined whether the molded product is good or bad. This acceptability judgment process (step 532) is the same as in the first embodiment, and is the process of steps 812 to 816 in FIG. 1, so the explanation will be omitted.

なお、上記第2の実施例において、最大値、最小値を平
均Rに標準偏差σの3倍を加算又は減算して求めたが、
成形状態の安定度等を考慮して平均Rに標準偏差σの2
倍を加算又は減算して求めてもよい(Ri (n+ax
) =Fr i + 20. Ri (+++in=没
1−2σ)。
In addition, in the above-mentioned second example, the maximum value and the minimum value were determined by adding or subtracting three times the standard deviation σ to the average R.
Considering the stability of the molding state, etc., the average R is set to 2 standard deviations σ.
It may also be obtained by adding or subtracting the times (Ri (n+ax
) =Fr i + 20. Ri (+++in=minus 1-2σ).

なお、この場合は、データが正規分布すると考えれば、
95%のデータがこの最大値、R小値間に含まれること
となる。
In addition, in this case, assuming that the data is normally distributed,
95% of the data will be included between this maximum value and the R minimum value.

発明の効果 本発明は、成形品の良否を判別するための基準値を射出
成形機自体が自動的に決定し設定するから、従来のよう
な人間が設定する方法と比べ、より適確にかつ簡単に設
定することができる。
Effects of the Invention In the present invention, the injection molding machine itself automatically determines and sets the reference values for determining the quality of the molded product, which is more accurate and effective than the conventional method of setting by humans. Easy to set up.

また、射出成形機は、基準値設定モードで得られた成形
品と略同−条件で成形された成形品のみを良品と判断し
、他は不良品と判断するから、基準値設定モードにおけ
る成形品を検査するのみでよい。そのため、従来のよう
に人間が基準値を設定する場合には、−度設定しても、
それが最適か否、か再度検討する必要があるが、本発明
においては再度検討する必要がなく、基準値設定の手数
が非常に簡単となる。
In addition, since the injection molding machine judges only molded products molded under approximately the same conditions as the molded product obtained in the reference value setting mode to be good products, and other products are judged to be defective, All you need to do is inspect the product. Therefore, when humans set standard values as in the past, even if you set - degrees,
It is necessary to consider again whether it is optimal or not, but in the present invention, there is no need to consider it again, and the effort of setting the reference value becomes extremely simple.

【図面の簡単な説明】 第1図は、本発明の第1の実施例の動作処理フローチャ
ート、第2図は、同第2の実施例の動作処理フローチャ
ート、第3図は、同各実施例を゛実施する射出成形機の
制御部の要部ブロック図である。 1・・・射出成形機。 第 図
[BRIEF DESCRIPTION OF THE DRAWINGS] FIG. 1 is an operation processing flowchart of the first embodiment of the present invention, FIG. 2 is an operation processing flowchart of the second embodiment, and FIG. 3 is a flowchart of the operation processing of the second embodiment. FIG. 2 is a block diagram of the main parts of the control section of the injection molding machine that implements the process. 1... Injection molding machine. Diagram

Claims (2)

【特許請求の範囲】[Claims] (1)各成形サイクル中に成形品の良否を判別するため
の変量データを検出し、検出変量データと当該変量に対
する基準値を比較し成形品の良否を判別する射出成形機
における上記基準値の設定方法において、基準値設定モ
ードで稼動された射出成形機の各成形サイクルで検出さ
れた上記変量データの最大値、最小値を当該変量の基準
値として自動的に設定するようにした成形品の良否判別
基準値自動設定方法。
(1) During each molding cycle, variable data for determining the quality of the molded product is detected, and the detected variable data and the reference value for the variable are compared to determine the quality of the molded product. In the setting method, the maximum and minimum values of the variable data detected in each molding cycle of the injection molding machine operated in the reference value setting mode are automatically set as the reference value of the variable. How to automatically set pass/fail judgment standard values.
(2)各成形サイクル中に成形品の良否を判別するため
の変量データを検出し、検出変量データと当該変量に対
する基準値を比較し成形品の良否を判別する射出成形機
における上記基準値の設定方法において、基準値設定モ
ードで稼動された射出成形機の各成形サイクルで検出さ
れた上記変量データの平均値及び標準偏差を求め、該平
均値と標準偏差により当該変量の基準値としての最大値
、最小値を自動的に設定するようにした成形品の良否判
別基準値自動設定方法。
(2) The above reference values in an injection molding machine that detects variable data for determining the quality of a molded product during each molding cycle, and compares the detected variable data with a reference value for the variable to determine the quality of the molded product. In the setting method, the average value and standard deviation of the above variable data detected in each molding cycle of the injection molding machine operated in the reference value setting mode are determined, and the maximum value as the reference value of the variable is determined from the average value and standard deviation. A method for automatically setting standard values for determining the quality of molded products by automatically setting values and minimum values.
JP63257350A 1988-10-14 1988-10-14 Method and apparatus for automatically setting the reference value for judging the quality of molded products Expired - Fee Related JP2862881B2 (en)

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JP63257350A JP2862881B2 (en) 1988-10-14 1988-10-14 Method and apparatus for automatically setting the reference value for judging the quality of molded products

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5550744A (en) * 1991-09-12 1996-08-27 Engel Maschinenbau Gesselschaft Mbh Method of controlling a machine for the manufacture of products, in particular for controlling an injection molding machine
US6915182B2 (en) 2002-11-07 2005-07-05 Nissei Plastic Industrial Co., Ltd. Method for setting determination conditions used for determining whether molded product is non-defective or defective
CN103057075A (en) * 2011-10-18 2013-04-24 发那科株式会社 Abnormality detection apparatus of injection molding machine
JP2013129084A (en) * 2011-12-20 2013-07-04 Fanuc Ltd Abnormality detecting device for injection molding machine
DE112021005248T5 (en) 2020-10-05 2023-07-20 Fanuc Corporation CONDITION DETERMINATION DEVICE AND CONDITION DETERMINATION METHOD
DE112021005249T5 (en) 2020-10-05 2023-07-20 Fanuc Corporation CONDITION DETERMINATION DEVICE AND CONDITION DETERMINATION METHOD
DE112021005268T5 (en) 2020-10-05 2023-08-03 Fanuc Corporation CONDITION DETERMINATION DEVICE AND CONDITION DETERMINATION METHOD

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS6024915A (en) * 1983-07-20 1985-02-07 Nissei Plastics Ind Co Monitoring method of molding machine
JPS61229523A (en) * 1985-04-04 1986-10-13 Mitsubishi Heavy Ind Ltd Automatic monitoring of injection pressure
JPS63216721A (en) * 1987-03-05 1988-09-09 Ube Ind Ltd Treatment of monitoring data for molding

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS6024915A (en) * 1983-07-20 1985-02-07 Nissei Plastics Ind Co Monitoring method of molding machine
JPS61229523A (en) * 1985-04-04 1986-10-13 Mitsubishi Heavy Ind Ltd Automatic monitoring of injection pressure
JPS63216721A (en) * 1987-03-05 1988-09-09 Ube Ind Ltd Treatment of monitoring data for molding

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5550744A (en) * 1991-09-12 1996-08-27 Engel Maschinenbau Gesselschaft Mbh Method of controlling a machine for the manufacture of products, in particular for controlling an injection molding machine
US6915182B2 (en) 2002-11-07 2005-07-05 Nissei Plastic Industrial Co., Ltd. Method for setting determination conditions used for determining whether molded product is non-defective or defective
CN103057075A (en) * 2011-10-18 2013-04-24 发那科株式会社 Abnormality detection apparatus of injection molding machine
JP2013086356A (en) * 2011-10-18 2013-05-13 Fanuc Ltd Abnormality detection apparatus of injection molding machine
US8651846B2 (en) 2011-10-18 2014-02-18 Fanuc Corporation Abnormality detection apparatus of an injection molding machine
JP2013129084A (en) * 2011-12-20 2013-07-04 Fanuc Ltd Abnormality detecting device for injection molding machine
US8636495B2 (en) 2011-12-20 2014-01-28 Fanuc Corporation Abnormality detector for an injection molding machine
DE112021005248T5 (en) 2020-10-05 2023-07-20 Fanuc Corporation CONDITION DETERMINATION DEVICE AND CONDITION DETERMINATION METHOD
DE112021005249T5 (en) 2020-10-05 2023-07-20 Fanuc Corporation CONDITION DETERMINATION DEVICE AND CONDITION DETERMINATION METHOD
DE112021005268T5 (en) 2020-10-05 2023-08-03 Fanuc Corporation CONDITION DETERMINATION DEVICE AND CONDITION DETERMINATION METHOD

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