JP3379323B2 - Control device of resistance welding machine - Google Patents
Control device of resistance welding machineInfo
- Publication number
- JP3379323B2 JP3379323B2 JP02088296A JP2088296A JP3379323B2 JP 3379323 B2 JP3379323 B2 JP 3379323B2 JP 02088296 A JP02088296 A JP 02088296A JP 2088296 A JP2088296 A JP 2088296A JP 3379323 B2 JP3379323 B2 JP 3379323B2
- Authority
- JP
- Japan
- Prior art keywords
- temperature distribution
- welding
- estimated
- estimating
- characteristic value
- 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.)
- Expired - Fee Related
Links
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- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
- Resistance Welding (AREA)
- Feedback Control In General (AREA)
Description
【０００１】[0001]
【発明の属する技術分野】本発明は特にスポット溶接に
用いる抵抗溶接機の制御装置に関するものである。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a control device for a resistance welding machine used particularly for spot welding.
【０００２】[0002]
【従来の技術】抵抗溶接、特にスポット溶接は鋼板を使
用する種々の製品に用いられているが、近年その溶接不
良が増大する傾向にある。すなわち、従来は一般に軟鋼
板が被溶接材であったことから通電不良も少なく、溶接
条件を一定に管理すれば溶接品質も比較的安定に保つこ
とができた。しかし、軟鋼板に代わって亜鉛メッキ鋼板
や高張力鋼板が多量に使用されはじめ、溶接不良の発生
が増大している。このような背景から単に溶接条件を監
視するのみのものではなく、溶接品質を精度良く制御可
能な装置の出現が待たれていた。2. Description of the Related Art Resistance welding, particularly spot welding, has been used for various products using steel sheets, but in recent years, the welding failure tends to increase. That is, since a mild steel plate was generally the material to be welded in the past, there were few defects in current flow, and the welding quality could be kept relatively stable if the welding conditions were controlled to be constant. However, instead of mild steel sheets, galvanized steel sheets and high-strength steel sheets are being used in large amounts, and the occurrence of welding defects is increasing. From such a background, the appearance of an apparatus capable of controlling welding quality with high precision, rather than simply monitoring welding conditions, has been awaited.
【０００３】この課題に対し、溶接機を直接制御するも
のではないが類似の技術として溶接終了後にその溶接結
果の良否を判別する目的でこれまで種々の溶接品質監視
装置が開発されてきた。溶接結果の良否が判定できれば
その次回の溶接にはその結果を反映させることができ
る。たとえば、これまで開発されたものに、（１）溶接
電流と溶接電圧からチップ間抵抗を求め、その変化パタ
ーンから溶接結果の良否を判定するもので、その一例と
して特開昭５６−１５８２８６号公報に開示されたも
の、（２）チップ間電圧と、あらかじめ設定した基準電
圧の時間的変化とを比較し、その差が許容値内か否かに
より良否を判定するもので、その一例として特公昭５９
−１４３１２号公報に開示されたもの、さらに、チップ
間電圧より溶接部の発熱に有効に寄与する有効成分を抽
出し、有効成分の時間積分値から溶接結果の良否を判定
するもので、その一例として特公昭５９−４０５５０号
公報、特開昭５９−６１５８０号公報に開示されたも
の、（３）発熱温度を検出し、その温度変化パターンか
ら溶接結果の良否を判定するもので、その一例として特
開平１−２１６２４６号公報に開示されたもの、（４）
被溶接材間に超音波を透過させ、その透過量から溶接結
果の良否を判定するもので、その一例として特開昭５２
−９４８４１号公報に開示されたもの、（５）電極チッ
プの溶接中の変位を用いたもので、その一例として特公
昭６０−４０９５５号公報に開示されたもの、（６）溶
接電流を検出し、その上下限値を監視し溶接結果を一定
にしようとするもの、（７）熱伝導モデルを用い、ナゲ
ット径をコンピュータを用いて算出するもので、その一
例として佐野：スポット溶接での通電路と温度分布の数
値解析法に関する研究、大阪大学大学院溶接専攻修士論
文（昭和５４年）、西宇：抵抗スポット溶接用数値計算
援用形品質モニタリングの高速化に関する研究、大阪大
学大学院溶接専攻修士論文（平成３年）に開示されたも
の、等がある。また、溶接機を直接制御するものとして
は、（８）熱伝導モデルから母材温度分布を算出しその
温度分布からナゲット径を推算すると共に溶接中の電極
移動量を用いて温度分布を修正するもので、特公平７−
１６７９１号公報がある。In order to solve this problem, various welding quality monitoring devices have been developed for the purpose of determining the quality of the welding result after the completion of welding as a similar technique but not for directly controlling the welding machine. If the quality of the welding result can be determined, the result can be reflected in the next welding. For example, in the one developed up to now, (1) the inter-chip resistance is determined from the welding current and the welding voltage, and the quality of the welding result is judged from the change pattern thereof. One example thereof is JP-A-56-158286. (2) The inter-chip voltage is compared with the time change of the preset reference voltage, and the quality is judged by whether the difference is within the allowable value or not. 59
No. 14312, further, an effective component that effectively contributes to heat generation in the welded portion is extracted from the inter-chip voltage, and the quality of the welding result is determined from the time integral value of the effective component. As disclosed in JP-B-59-40550 and JP-A-59-61580, (3) detecting the heat generation temperature and judging the quality of the welding result from the temperature change pattern. What is disclosed in JP-A-1-216246, (4)
Ultrasonic waves are transmitted between the materials to be welded, and the quality of the welding result is judged from the amount of the transmission.
No. 948441, (5) Displacement during welding of electrode tip, one of which is disclosed in Japanese Patent Publication No. 60-40955, (6) Detecting welding current , Which tries to keep the welding result constant by monitoring the upper and lower limits, (7) Calculates the nugget diameter using a computer using a heat conduction model, and one example is Sano: Current passage in spot welding. On numerical analysis of temperature and temperature distribution, Master's thesis of welding major at Osaka University (1979), Xiu: Study on speedup of numerical calculation-aided quality monitoring for resistance spot welding, Master's thesis of welding major at Osaka University ( 1991), etc. In order to directly control the welding machine, (8) calculate the base metal temperature distribution from the heat conduction model, estimate the nugget diameter from the temperature distribution, and correct the temperature distribution using the electrode movement amount during welding. It ’s a fair 7-
There is a 16791 publication.
【０００４】[0004]
【発明が解決しようとする課題】これらの方式におい
て、（１）はチップ先端部の圧潰や分流を生じた場合や
被溶接材の材質が亜鉛メッキ鋼板の場合には抵抗の変化
パターンが一様でなく、溶接結果の良否判定が困難とな
る。また、（２）は共チップの圧潰、板厚の変化等、溶
接状態が変化する度に溶接結果の判定条件を再設定しな
ければならず、実用上良否判定を正確に行うことは困難
である。（３）、（４）については、温度検出装置、超
音波の発信、受信装置の設置、取り付け方法において現
場作業上適用困難な問題をかかえている。（５）は溶接
現場作業に使用した場合の、ノイズの混入、微少変位測
定の困難さ、抵抗溶接機の機械強度の個体差等により実
用には問題がある。（６）はコスト的には安価で、容易
に実現でき、電源の故障、二次導体の断線などの発見に
は有効であるが、チップ先端部の圧潰や分流など、電流
密度の低下による溶接部の品質劣化は判別できない。In these methods, (1) has a uniform resistance change pattern when the tip of the tip is crushed or shunted or when the material to be welded is a galvanized steel sheet. Instead, it becomes difficult to judge the quality of the welding result. Further, in (2), the judgment condition of the welding result has to be reset every time the welding state changes such as the crushing of the co-chip, the change of the plate thickness, etc., and it is difficult to accurately judge the quality in practical use. is there. Regarding (3) and (4), there are problems that are difficult to apply in the field work in the temperature detection device, the transmission of ultrasonic waves, the installation and installation method of the reception device. (5) has a problem in practical use due to mixing of noise, difficulty in measuring minute displacement, individual difference in mechanical strength of the resistance welding machine, etc. when used for welding site work. (6) is cheap in cost, can be easily realized, and is effective for finding a power supply failure, disconnection of the secondary conductor, etc., but welding due to a decrease in current density due to crushing or shunting of the tip of the chip Deterioration of parts quality cannot be identified.
【０００５】また、これらの従来の各種溶接品質監視装
置は、それぞれの溶接材料ごとに溶接現場で予備実験を
行い、溶接品質と判別基準の関係を予め求めておくとい
う作業が不可欠となり、その判別結果も溶接部の良否を
おおまかに判別し得るにすぎなかった。（７）は前記の
問題点を解消できる可能性をもっており熱伝導方程式を
解くのに時間を要するのが最大の欠点となっていた。こ
のため、高速でナゲット径を演算する手法が考案され、
溶接終了後ではあるが溶接現場において全溶接打点をモ
ニタする装置が実用化されている。Further, in these conventional welding quality monitoring devices, it is indispensable to perform a preliminary experiment at the welding site for each welding material to obtain the relationship between the welding quality and the discrimination standard in advance. As a result, the quality of the welded portion could only be roughly determined. (7) has a possibility of solving the above-mentioned problems, and the biggest drawback is that it takes time to solve the heat conduction equation. Therefore, a method to calculate the nugget diameter at high speed was devised,
Even after the completion of welding, a device for monitoring all welding points has been put to practical use at the welding site.
【０００６】したがって、抵抗溶接機に（７）、（８）
を除く従来の溶接品質監視装置を併用しても、溶接部の
品質不良が発生し、手直しが必要となるばかりか場合に
よっては製品を破棄したり、市場で問題をおこす場合も
発生した。また、（７）の式によっても、溶接結果が判
別できるのは溶接終了後であり溶接機そのものの出力を
制御し必要とするナゲット径を得られるようにするもの
ではないという課題や、連続打点を行う場合には打点に
伴う電極損耗の考慮を行う必要があるという課題があっ
た。さらに、（８）は（７）を一歩進めた方式である
が、電極の移動量を用いているため移動量の検出装置が
必要となりコスト高となる。さらに溶接位置が被溶接材
の端部あるいは被溶接材同士の合いが悪い場合には適用
できないという課題があった。Therefore, the resistance welding machine has (7), (8)
Even if the conventional welding quality monitoring device except for the above is used together, the quality of the welded part deteriorates, and not only repairing is necessary but also the product may be discarded or a problem may occur in the market. Further, the equation (7) can be used to determine the welding result after the welding is finished, and it is not intended to control the output of the welding machine itself to obtain the required nugget diameter. However, there is a problem that it is necessary to consider the electrode wear due to the hitting point. Further, although (8) is a system which is a step further than (7), since the moving amount of the electrode is used, a device for detecting the moving amount is required, resulting in high cost. Further, there is a problem that it cannot be applied when the welding position is at the end of the material to be welded or when the materials to be welded are not in close contact with each other.
【０００７】[0007]
【課題を解決するための手段】本発明の第１手段では、
溶接電流検出手段と、電極間電圧検出手段と、前記検出
手段により検出した溶接電流および電極間電圧の経時変
化から溶接部の温度分布１を推算する温度分布推算手段
と、前記溶接電流および前記電極間電圧の経時変化から
溶接部のインダクタンス特性値を算出するインダクタン
ス特性値演算手段と、前記温度分布１と前記インダクタ
ンス特性値を用いて推算した温度分布２を比較した結果
により前記温度分布推算手段を調整する調整手段と、前
記温度分布１により溶接条件を制御する制御手段により
構成されたものである。According to the first means of the present invention,
Welding current detection means, inter-electrode voltage detection means, temperature distribution estimation means for estimating temperature distribution 1 of the welded portion from welding current and inter-electrode voltage detected by the detection means with time, the welding current and the electrodes Inductance characteristic value calculating means for calculating the inductance characteristic value of the welded portion from the temporal change of the inter-voltage and the temperature distribution estimating means by the result of comparing the temperature distribution 1 and the temperature distribution 2 estimated using the inductance characteristic value. It is composed of an adjusting means for adjusting and a controlling means for controlling the welding condition by the temperature distribution 1.
【０００８】さらに、本発明の第２手段では、溶接電流
検出手段と、電極間電圧検出手段と、前記検出手段によ
り検出した溶接電流および電極間電圧の経時変化から溶
接部の温度分布１を推算する温度分布推算手段と、前記
溶接電流および前記電極間電圧の経時変化から溶接部の
インダクタンス特性値を算出するインダクタンス特性演
算手段と、前記溶接電流および前記電極間電圧の経時変
化からニューラルネットワークを用いてインダクタンス
特性値を推算するニューロ・インダクタンス特性値推算
手段と、前記温度分布１と前記インダクタンス特性値を
用いて推算した温度分布２を比較した結果により前記温
度分布推算手段を調整する調整手段と、前記温度分布１
により溶接条件を制御する制御手段により構成されたも
のである。Further, according to the second means of the present invention, the temperature distribution 1 of the welded portion is estimated from the welding current detecting means, the inter-electrode voltage detecting means, and the temporal changes in the welding current and the inter-electrode voltage detected by the detecting means. Temperature distribution estimating means, an inductance characteristic calculating means for calculating an inductance characteristic value of a weld from the welding current and the inter-electrode voltage with time, and a neural network from the welding current and the inter-electrode voltage with time Neuro-inductance characteristic value estimating means for estimating the inductance characteristic value by means of the following, and adjusting means for adjusting the temperature distribution estimating means according to the result of comparing the temperature distribution 1 and the temperature distribution 2 estimated using the inductance characteristic value. The temperature distribution 1
Is constituted by a control means for controlling welding conditions.
【０００９】さらに、本発明の第３手段では、第１また
は第２のいずれかの解決手段と共に前記温度分布１を溶
接打点毎に記憶する温度分布記憶手段と、インダクタン
ス特性値を打点毎に記憶するインダクタンス特性値記憶
手段と、予め設定した打点について記憶した前記温度分
布１に統計的な処理を行った値と前記の記憶したインダ
クタンス特性値に統計的な処理を行った値を用いて推算
した温度分布２を比較した結果により前記温度分布推算
手段を調整する調整手段により構成され、さらに、本発
明の第４手段では第３の解決手段と共に、各溶接打点の
設定条件を記憶する設定条件記憶手段と、予め設定した
打点について前記設定条件別に記憶した前記温度分布１
に統計的な処理を行った値と記憶した前記インダクタン
ス特性値に統計的な処理を行った値を用いて推算した温
度分布２を用いて前記温度分布推算手段を調整する調整
手段により構成されたものである。Further, according to the third means of the present invention, the temperature distribution storage means for storing the temperature distribution 1 for each welding dot together with the first or second solving means, and the inductance characteristic value for each welding dot are stored. It is estimated by using the inductance characteristic value storing means, a value obtained by statistically processing the temperature distribution 1 stored for a preset dot, and a value obtained by statistically processing the stored inductance characteristic value. The temperature distribution estimation means is adjusted based on the result of comparison of the temperature distributions 2, and the fourth means of the present invention, together with the third solving means, stores the setting conditions for each welding point. Means and the temperature distribution 1 stored according to the setting conditions for a preset hitting point
The temperature distribution estimation means is adjusted by using the temperature distribution 2 estimated using the statistically processed value and the stored value of the inductance characteristic value statistically processed. It is a thing.
【００１０】さらに、第５の解決手段では、溶接電流検
出手段と、電極間電圧検出手段と、前記検出手段により
検出した溶接電流および電極間電圧の経時変化から溶接
部の温度分布１を推算する温度分布推算手段と、前記溶
接電流および前記電極間電圧の経時変化から散りの発生
状況を検出する散り発生状況検出手段と、前記温度分布
推算手段により推算された温度分布１と前記散り発生状
況を用いて推算した温度分布３を比較した結果により前
記温度分布推算手段を調整する調整手段と、前記温度分
布１により溶接条件を制御する制御手段により構成さ
れ、さらに、第６の手段では、溶接電流検出手段と、電
極間電圧検出手段と、前記検出手段により検出した溶接
電流および電極間電圧の経時変化から溶接部の温度分布
１を推算する温度分布推算手段と、前記溶接電流および
前記電極間電圧の経時変化から散りの発生状況を検出す
る散り検出手段と、前記溶接電流および前記電極間電圧
の経時変化からニューラルネットワークを用いて散り発
生状況を検出するニューロ散り発生状況推算手段と、前
記温度分布推算手段により推算された温度分布１と前記
散り発生状況を用いて推算した温度分布３を比較した結
果により前記温度分布推算手段を調整する調整手段と、
前記温度分布１により溶接条件を制御する制御手段によ
り構成されたものである。Further, in the fifth solving means, the welding current detecting means, the inter-electrode voltage detecting means, and the temperature distribution 1 of the welded portion are estimated from the temporal changes in the welding current and the inter-electrode voltage detected by the detecting means. The temperature distribution estimating means, the dispersion occurrence status detecting means for detecting the occurrence status of the dispersion from the temporal change of the welding current and the inter-electrode voltage, and the temperature distribution 1 and the dispersion occurrence status estimated by the temperature distribution estimating means. The temperature distribution estimating means is adjusted based on the result of comparing the temperature distributions 3 estimated by using the adjusting means, and the control means controlling the welding conditions by the temperature distribution 1. The sixth means is the welding current. A detection unit, an inter-electrode voltage detection unit, and a temperature component for estimating the temperature distribution 1 of the welded portion from the temporal change of the welding current and the inter-electrode voltage detected by the detection unit. Estimating means, a dispersion detecting means for detecting the occurrence state of dispersion from the welding current and the inter-electrode voltage change over time, and a dispersion occurrence state is detected using a neural network from the welding current and the inter-electrode voltage change over time And a means for adjusting the temperature distribution estimation means based on the result of comparing the temperature distribution 1 estimated by the temperature distribution estimation means with the temperature distribution 3 estimated using the dispersion occurrence state. ,
The temperature distribution 1 is used to control welding conditions.
【００１１】さらに、本発明の第７手段では第５または
第６のいずれかの解決手段と共に温度分布１を溶接打点
毎に記憶する温度分布記憶手段と、散り発生状況を打点
毎に記憶する散り発生状況記憶手段と、予め設定した打
点について記憶した前記温度分布１に統計的な処理を行
った値と記憶した前記散り発生状況に統計的な処理を行
った値を用いて推算した温度分布３を比較した結果によ
り前記温度分布推算手段を調整する調整手段により構成
されたものである。Further, in the seventh means of the present invention, the temperature distribution storing means for storing the temperature distribution 1 for each welding spot together with the fifth or sixth solving means, and the dispersion for storing the dispersion occurrence state for each welding spot. A temperature distribution 3 estimated by using an occurrence status storage means and a value obtained by statistically processing the temperature distribution 1 stored for a preset dot and a value obtained by statistically processing the stored dispersion occurrence status 3 It is constituted by adjusting means for adjusting the temperature distribution estimating means on the basis of the result of the comparison.
【００１２】さらに、本発明の第８手段では第７の解決
手段と共に、各溶接打点の設定条件を記憶する設定条件
記憶手段と、予め設定した打点について前記設定条件別
に記憶した前記温度分布１に統計的な処理を行った値と
記憶した前記散り発生状況に統計的な処理を行った値を
用いて推算した温度分布３を比較した結果により前記温
度分布推算手段を調整する調整手段により構成されたも
のである。Further, in the eighth means of the present invention, in addition to the seventh solving means, there are set condition storing means for storing the setting conditions of each welding dot, and the temperature distribution 1 stored for each of the setting conditions for the preset welding dots. The adjusting means adjusts the temperature distribution estimating means on the basis of the result of comparing the temperature distribution 3 estimated by using the statistically processed value and the statistically processed value stored in the stored occurrence state. It is a thing.
【００１３】[0013]
【発明の実施の形態】上記構成により、本発明の請求項
１記載の発明は、温度分布推算手段により溶接電流検出
手段と電極間電圧検出手段が検出した溶接中の溶接電流
と電極間電圧を用いて予め設定した熱伝導モデルにて溶
接部の時々刻々の温度分布１を数値演算し、同時にイン
ダクタンス特性値演算手段は前記溶接電流と前記電極間
電圧を用いて溶接部のインダクタンス特性値を算出す
る。調整手段は前記の温度分布推算手段により推算され
た温度分布１と、前記のインダクタンス特性値により推
算された溶接部の温度分布２を比較し前記温度分布推算
手段を調整する作用を有する。制御手段では前記の温度
分布１と、予め設定した溶接部に必要とされるナゲット
径や溶け込み等のナゲットの形状を示す値（以下、目標
ナゲットとする）を比較して溶接条件の制御を行う作用
を有する。With the above structure, the invention according to claim 1 of the present invention shows the welding current and the inter-electrode voltage during welding detected by the welding current detecting means and the inter-electrode voltage detecting means by the temperature distribution estimating means. Using the preset heat conduction model, the temperature distribution 1 of the welding portion is calculated numerically at the same time, and at the same time, the inductance characteristic value calculating means calculates the inductance characteristic value of the welding portion using the welding current and the inter-electrode voltage. To do. The adjusting means has a function of comparing the temperature distribution 1 estimated by the temperature distribution estimating means with the temperature distribution 2 of the welded portion estimated by the inductance characteristic value and adjusting the temperature distribution estimating means. The control means compares the temperature distribution 1 with a value (hereinafter, referred to as a target nugget) indicating the shape of the nugget such as the nugget diameter and the penetration required for the preset welded portion, and controls the welding condition. Have an effect.
【００１４】さらに、請求項２に記載の発明は、温度分
布推算手段により溶接電流検出手段と電極間電圧検出手
段が検出した溶接中の溶接電流と電極間電圧を用いて予
め設定した熱伝導モデルにて溶接部の時々刻々の温度分
布１を数値演算し、同時に前記溶接電流と前記電極間電
圧の経時変化からニューラルネットワークを用いてイン
ダクタンス特性値をより高速に推算する。調整手段は前
記の温度分布推算手段により推算された温度分布１と、
前記のインダクタンス特性値により推算された溶接部の
温度分布２を比較し前記温度分布推算手段を調整する作
用を有する。制御手段では前記の温度分布１と予め設定
した目標ナゲットを比較して溶接条件の制御を行う作用
を有する。Further, the invention according to claim 2 is a heat conduction model preset using the welding current and the interelectrode voltage during welding detected by the welding current detecting means and the interelectrode voltage detecting means by the temperature distribution estimating means. At, the temperature distribution 1 of the welded portion is calculated numerically at the same time, and at the same time, the inductance characteristic value is estimated at higher speed from the temporal change of the welding current and the voltage between the electrodes by using a neural network. The adjusting means includes the temperature distribution 1 estimated by the temperature distribution estimating means,
It has a function of comparing the temperature distribution 2 of the welded portion estimated by the inductance characteristic value and adjusting the temperature distribution estimating means. The control means has the function of comparing the temperature distribution 1 with a preset target nugget to control the welding conditions.
【００１５】さらに、請求項３に記載の発明は、請求項
１または２のいずれかに記載の構成において温度分布１
とインダクタンス特性値を記憶し、設定された打点毎に
前記の記憶された温度分布１に統計処理を行った値と、
記憶され統計的な処理を行ったインダクタンス特性値か
ら推算された温度分布２を比較して前記温度分布推算手
段を調整する作用を有する。Further, the invention according to claim 3 is the temperature distribution 1 in the structure according to claim 1 or 2.
And a value obtained by storing the inductance characteristic value and performing statistical processing on the stored temperature distribution 1 for each set dot,
It has a function of comparing the temperature distribution 2 estimated from the stored and statistically processed inductance characteristic value and adjusting the temperature distribution estimating means.
【００１６】さらに、請求項４に記載の発明は、請求項
３に記載の構成に加えて設定条件記憶手段により各打点
の設定条件を記憶し、設定された打点毎において前記設
定条件別に、前記の記憶された温度分布１に統計処理を
行った値と、記憶されたインダクタンス特性値に統計的
な処理を行った値から推算された温度分布２を比較し前
記温度分布推算手段を調整する作用を有する。Further, in the invention described in claim 4, in addition to the configuration described in claim 3, the setting condition of each dot is stored by the setting condition storing means, and the set condition is classified by the set condition for each set dot. Of the stored temperature distribution 1 and the temperature distribution 2 estimated from the stored statistically processed value of the inductance characteristic value are compared to adjust the temperature distribution estimating means. Have.
【００１７】さらに、請求項５に記載の発明は、温度分
布推算手段により溶接電流検出手段と電極間電圧検出手
段が検出した溶接中の溶接電流と電極間電圧を用いて予
め設定した熱伝導モデルにて溶接部の時々刻々の温度分
布を数値演算すると共に散り検出手段により前記溶接電
流と前記電極間電圧を用いて散り発生状況を検出する。
調整手段は前記の温度分布推算手段により推算された温
度分布１と前記の散り発生状況を用いて推算した温度分
布３を比較し前記温度分布推算手段を調節する作用を有
する。制御手段では前記の温度分布１と予め設定した目
標ナゲットを比較して溶接条件の制御を行う作用を有す
る。Further, the invention according to claim 5 is a heat conduction model preset using the welding current during welding and the inter-electrode voltage detected by the welding current detecting means and the inter-electrode voltage detecting means by the temperature distribution estimating means. The numerical distribution of the temperature distribution of the welded portion is numerically calculated, and the dispersion detecting means detects the dispersion occurrence state using the welding current and the inter-electrode voltage.
The adjusting means has a function of comparing the temperature distribution 1 estimated by the temperature distribution estimating means with the temperature distribution 3 estimated using the dispersion occurrence state and adjusting the temperature distribution estimating means. The control means has the function of comparing the temperature distribution 1 with a preset target nugget to control the welding conditions.
【００１８】さらに、請求項６に記載の発明は、温度分
布推算手段により溶接電流検出手段と電極間電圧検出手
段が検出した溶接中の溶接電流と電極間電圧を用いて予
め設定した熱伝導モデルにて溶接部の時々刻々の温度分
布を数値演算すると共に前記溶接電流と前記電極間電圧
の経時変化からニューラルネットワークを用いてより高
速に散り発生状況を検出する。調整手段は前記の温度分
布推算手段により推算された温度分布１と前記の散り発
生状況を用いて推算した温度分布３を比較し前記温度分
布推算手段を調節する作用を有する。制御手段では前記
の温度分布１と予め設定した目標ナゲットを比較して溶
接条件の制御を行う作用を有する。Further, the invention according to claim 6 is a heat conduction model preset using the welding current during welding and the inter-electrode voltage detected by the welding current detecting means and the inter-electrode voltage detecting means by the temperature distribution estimating means. The numerical distribution of the temperature distribution of the welded portion is numerically calculated, and the spattering occurrence state is detected at a higher speed by using a neural network from the temporal change of the welding current and the voltage between the electrodes. The adjusting means has a function of comparing the temperature distribution 1 estimated by the temperature distribution estimating means with the temperature distribution 3 estimated using the dispersion occurrence state and adjusting the temperature distribution estimating means. The control means has the function of comparing the temperature distribution 1 with a preset target nugget to control the welding conditions.
【００１９】さらに、請求項７に記載の発明は、請求項
５または６のいずれかに記載の構成において温度分布推
算手段により推算された時々刻々の温度分布１と散り発
生状況を記憶し、設定された打点毎に前記の記憶された
時々刻々の温度分布に統計処理を行った値と、記憶され
た散り発生状況に統計処理を行った値を用いて推算した
温度分布３を比較して前記温度分布推算手段を調整する
作用を有する。Further, the invention according to claim 7 stores and sets the momentary temperature distribution 1 estimated by the temperature distribution estimating means in the configuration according to claim 5 or 6 and the scattering occurrence state. The temperature distribution 3 estimated by using the value obtained by statistically processing the stored momentary temperature distribution and the value obtained by statistically processing the stored occurrence state of dispersion for each of the hitting points are compared with each other. It has the function of adjusting the temperature distribution estimation means.
【００２０】さらに、請求項８に記載の発明は、請求項
７に記載の構成に加えて設定条件記憶手段により各打点
の設定条件を記憶し、設定された打点毎において前記設
定条件別に前記の記憶された温度分布１に統計処理を行
った値と記憶された散り発生状況に統計的な処理を行っ
た値により推算された温度分布２を比較した結果により
前記温度分布推算手段を調整する作用を有する。Further, in the invention described in claim 8, in addition to the configuration described in claim 7, the setting condition of each dot is stored by the setting condition storage means, and the above-mentioned setting condition is set for each set dot. The function of adjusting the temperature distribution estimating means based on the result of comparing the temperature distribution 2 estimated by the value obtained by statistically processing the stored temperature distribution 1 and the value obtained by statistically processing the stored dispersion occurrence situation Have.
【００２１】以下、本発明の実施の形態について図１を
用いて説明する。図１において、１は被溶接材、２は前
記被溶接材１を挟み加圧機構（図示せず）により加圧さ
れ溶接部に溶接電流を通電する溶接電極（以下、単に電
極という）、３は溶接電流を供給する溶接電源、４は溶
接電源３と電極２を接続する二次導体、５は溶接電流検
出手段で例えばトロイダルコイルまたは電流シャントと
検出線で構成される。６は電極間電圧検出手段で電極ま
たは電極ホルダ（図示せず）の所定の位置に接続された
検出線により検出を行う。An embodiment of the present invention will be described below with reference to FIG. In FIG. 1, 1 is a material to be welded, 2 is a welding electrode (hereinafter, simply referred to as an electrode) that sandwiches the material to be welded 1 and applies a welding current to a welded portion by a pressure mechanism (not shown), 3 Is a welding power source for supplying a welding current, 4 is a secondary conductor for connecting the welding power source 3 and the electrode 2, and 5 is a welding current detecting means, which is constituted by, for example, a toroidal coil or a current shunt and a detection line. Reference numeral 6 denotes an inter-electrode voltage detecting means for detecting by a detection line connected to a predetermined position of an electrode or an electrode holder (not shown).
【００２２】７は本制御装置を示し、前記溶接電流検出
手段５と前記電極間電圧検出手段６の出力を演算可能な
データ信号に変換する検出部８および温度分布を推算す
る温度分布推算手段９と温度分布を打点毎に記憶し、統
計的な処理を行う温度分布記憶手段１０を備えた演算部
１１およびナゲット設定手段１２にて入力された必要と
される目標ナゲットと前記温度分布演算手段にて推算さ
れた温度分布を比較することで溶接電源を制御する制御
手段１３および前記の検出された溶接電流と検出された
電極間電圧を用いて溶接部のインダクタンス特性値を算
出するインダクタンス特性値演算手段１４、ニューラル
ネットワークを用いて前記の検出された溶接電流と検出
された電極間電圧からインダクタンス特性値を算出する
ニューロ・インダクタンス特性値推算手段１５、インダ
クタンス特性値を打点毎に記憶し統計的な処理を行うイ
ンダクタンス特性値記憶手段１６、算出されたインダク
タンス特性値を用いて溶接部の温度分布２を推算するイ
ンダクタンス特性値による温度分布推算手段（以下、単
にインダクタンス温度分布推算手段とする）１７を備え
たインダクタンス特性値演算部１８および検出された溶
接電流と検出された電極間電圧を用いて散り発生状況を
検出する散り発生状況検出手段１９と、ニューラルネッ
トワークを用いて前記の検出された溶接電流と検出され
た電極間電圧から散り発生状況を推算するニューロ散り
発生状況推算手段２０と、散り発生状況を打点毎に記憶
し統計的な処理を行う散り発生状況記憶手段２１および
散り発生状況を用いて溶接部の温度分布３を推算する溶
融状況推算手段２２を備えた散り発生状況演算部２３お
よび前記温度分布推算手段９により推算さされた温度分
布１と、前記インダクタンス特性値演算部１８により推
算された温度分布２または散り発生状況演算部２３によ
り推算された温度分布３を比較して前記温度分布推算手
段９を調整する調整手段２４および溶接の設定条件を入
力するキー２５と各打点の設定条件を記憶する設定条件
記憶手段２６を備えた設定条件記憶部２７を備えてい
る。Reference numeral 7 denotes the present control device, which includes a detection section 8 for converting the outputs of the welding current detection means 5 and the inter-electrode voltage detection means 6 into a computable data signal, and a temperature distribution estimation means 9 for estimating the temperature distribution. And a temperature distribution for each dot, and the necessary target nugget input by the calculation unit 11 and the nugget setting unit 12 including the temperature distribution storage unit 10 that performs statistical processing and the temperature distribution calculation unit. Inductance characteristic value calculation for calculating the inductance characteristic value of the welded portion by using the control means 13 for controlling the welding power source by comparing the temperature distributions estimated by the above and the detected welding current and the detected interelectrode voltage. Means 14, Neuro-inder for calculating an inductance characteristic value from the detected welding current and the detected inter-electrode voltage using a neural network The inductance characteristic value estimating means 15, the inductance characteristic value storing means 16 for storing the inductance characteristic value for each dot and performing the statistical processing, and the inductance characteristic value for estimating the temperature distribution 2 of the welded portion using the calculated inductance characteristic value. Dispersion for detecting a dispersion occurrence state by using an inductance characteristic value calculation unit 18 including a temperature distribution estimation unit (hereinafter, simply referred to as an inductance temperature distribution estimation unit) 17 and a detected welding current and a detected inter-electrode voltage. Occurrence status detection means 19, neuro-dispersion occurrence status estimation means 20 for estimating the dispersion occurrence status from the detected welding current and the detected inter-electrode voltage using a neural network, and the dispersion occurrence status is stored for each dot. The temperature of the welded portion is calculated using the scattering occurrence status storage means 21 for performing statistical processing and the scattering occurrence status. The temperature distribution 1 estimated by the dispersion state calculation unit 23 including the melting state estimation unit 22 for estimating the cloth 3 and the temperature distribution estimation unit 9, and the temperature distribution 2 estimated by the inductance characteristic value calculation unit 18. Or, the adjusting means 24 for comparing the temperature distribution 3 estimated by the dispersion occurrence situation calculating part 23 to adjust the temperature distribution estimating means 9, the key 25 for inputting welding setting conditions, and the setting for storing the setting conditions for each dot. A setting condition storage unit 27 having a condition storage unit 26 is provided.
【００２３】なお、溶接電流制御、設定時間制御および
加圧力制御などの抵抗溶接の制御装置が通常備えている
が本発明に直接関係しない、その他の構成要素に関して
は、図示と説明を省略した。It should be noted that illustration and description of other constituent elements which are usually provided in a control apparatus for resistance welding such as welding current control, set time control and pressurizing force control but are not directly related to the present invention are omitted.
【００２４】以上のように構成された抵抗溶接機の制御
装置について、第１手段の実施の形態について図２を用
いてその動作を説明する（括弧内の数字は図２のフロー
チャート内の番号を示す）。まず、ナゲット設定手段１
２により溶接部に必要とされる目標ナゲットを入力する
（ステップ１）。また、キー２５により設計書で与えら
れた溶接材１に関する情報（板材質、板厚、重ね枚数な
ど）と使用する電極２に関する情報（材質、先端形状な
ど）を入力し通電開始時の溶接条件を設定する（ステッ
プ２）。以上の準備作業の後、上下の電極２の間に溶接
材１を挟み通電を開始する。制御部１３は前記の設定し
た溶接条件で与えられる溶接電流と加圧力にて通電を開
始する（ステップ３）。溶接電流が通電されると溶接電
流および電極間電圧が溶接電流検出手段５および電極間
電圧検出手段６により時々刻々に検出され（ステップ
４）、検出部８によりデータ信号に変換されて演算部１
１に入力される。前記演算部１１では温度推算手段９に
て温度分布１を推算する（ステップ５）。The operation of the control device for the resistance welding machine configured as described above will be described with reference to FIG. 2 for the embodiment of the first means (the numbers in parentheses are the numbers in the flowchart of FIG. 2). Shown). First, the nugget setting means 1
The target nugget required for the weld is input by step 2 (step 1). Also, the welding conditions at the start of energization are entered by inputting the information (the plate material, the plate thickness, the number of layers, etc.) about the welding material 1 and the information on the electrode 2 to be used (the material, the tip shape, etc.) given by the key 25. Is set (step 2). After the above preparatory work, the welding material 1 is sandwiched between the upper and lower electrodes 2 to start energization. The control unit 13 starts energization with the welding current and the pressure applied under the welding conditions set above (step 3). When the welding current is applied, the welding current and the inter-electrode voltage are detected momentarily by the welding current detection means 5 and the inter-electrode voltage detection means 6 (step 4), and are converted into a data signal by the detection part 8 to be calculated by the calculation part 1.
Input to 1. In the calculation unit 11, the temperature distribution means 1 estimates the temperature distribution 1 (step 5).
【００２５】温度分布１の推算は溶接部の断面を図４
（ａ）に示すようにΔｒ×Δｚの大きさの格子状小区画
群Ａｉｊ（ｉ＝１，２，・・・；ｊ＝１，２，・・・）
に区分し、この断面の区画を電極の中心軸を回転軸とし
て３６０度回転して得られる、図４（ｂ）に示すような
環状立体区分Ｍｉｊを単位として実行する。すなわち、
この環状立体区分ごとに固有抵抗、電位、温度分布１を
図３に示すフローチャートにしたがって算出する。The temperature distribution 1 is estimated by using the cross section of the welded portion as shown in FIG.
As shown in (a), a grid-like small section group Aij having a size of Δr × Δz (i = 1, 2, ...; j = 1, 2, ...)
And the section of this cross section is obtained by rotating the center axis of the electrode by 360 degrees about the rotation axis of the electrode, and is executed in units of the annular solid section Mij as shown in FIG. 4B. That is,
The specific resistance, potential, and temperature distribution 1 are calculated for each of the ring-shaped solid sections according to the flowchart shown in FIG.
【００２６】まず、この環状立体区分ごとの固有抵抗を
溶接部の温度分布１から定める（ステップ１０１）。通
電開始時（ｔ＝０）の固有抵抗は、すべての環状立体区
分において室温における固有抵抗値である。また算出に
当たっては、微小時間Δｔの間は温度は一定であり、固
有抵抗も一定であると考える。つぎに、この区分ごとの
固有抵抗の合成として通電部の平均固有抵抗を算出し、
この平均固有抵抗と検出された溶接電流および電極間電
圧を、数式（１）に代入することにより通電径を算出し
（ステップ１０２）、以後の演算はこの通電径内部の区
分について実施する。First, the specific resistance for each annular solid section is determined from the temperature distribution 1 of the welded portion (step 101). The specific resistance at the start of energization (t = 0) is the specific resistance value at room temperature in all cyclic stereosections. Further, in the calculation, it is considered that the temperature is constant and the specific resistance is also constant during the minute time Δt. Next, calculate the average specific resistance of the current-carrying part as a combination of the specific resistances for each of the sections,
By substituting the average specific resistance, the detected welding current and the inter-electrode voltage into the mathematical expression (1), the energizing diameter is calculated (step 102), and the subsequent calculation is performed for the section inside this energizing diameter.
【００２７】[0027]
【数１】 [Equation 1]
【００２８】つぎに、数式（２）により環状立体区分ご
との電位分布を算出し（ステップ１０３）、この電位分
布を用いて、数式（３）により環状立体区分ごとの電流
密度を算出する（ステップ１０４）。Next, the potential distribution for each ring-shaped three-dimensional section is calculated by the equation (2) (step 103), and the current density for each ring-shaped three-dimensional section is calculated by this equation (3) (step 103). 104).
【００２９】[0029]
【数２】 [Equation 2]
【００３０】さらに、この算出した電流密度と固有抵抗
を用いて数式（４）により区分ごとの温度分布１を算出
する（ステップ１０５）。図５には任意の時刻における
格子状小区画群それぞれの温度を算出して、等しい温度
の区画を結んだ等温度線をひいた場合の温度分布１の算
出例を示す。温度分布の計算はＳ．Ｏ．Ｒ法を用いて収
束するまで反復計算を行う。Further, using the calculated current density and specific resistance, the temperature distribution 1 for each section is calculated by the equation (4) (step 105). FIG. 5 shows a calculation example of the temperature distribution 1 in the case where the temperature of each of the grid-shaped small section groups is calculated at an arbitrary time and an isothermal line connecting the sections of equal temperature is drawn. Calculation of temperature distribution is performed by S.M. O. Iterative calculations are performed using the R method until convergence.
【００３１】[0031]
【数３】 [Equation 3]
【００３２】[0032]
【数４】 [Equation 4]
【００３３】温度分布推算手段９は、この温度分布１を
温度分布記憶手段１０に伝送するとともに、この新しい
温度分布１から再び区分ごとの固有抵抗を定め（ステッ
プ１０１）、検出された溶接電流および電極間電圧を用
いて演算を繰り返す。The temperature distribution estimating means 9 transmits the temperature distribution 1 to the temperature distribution storing means 10, and again determines the specific resistance for each section from the new temperature distribution 1 (step 101) to detect the detected welding current and The calculation is repeated using the voltage between the electrodes.
【００３４】前記インダクタンス特性値演算部１８は、
時々刻々入力される前記溶接電流と前記電極間電圧を用
いて数式（５）により溶接部のインダクタンス特性値を
算出する（ステップ６）。前記インダクタンス温度分布
推算手段１７では、強磁性体である鋼板においてキュリ
ー温度を超えた場合については常磁性体となり溶接部に
おいてキュリー温度以上となる温度域が半径方向に拡大
していくにつれて溶接部のインダクタンス特性値が変化
することを利用して、発明者らが実験的に求めた関数を
用いて、溶接部の温度分布２を推算する（ステップ
７）。The inductance characteristic value calculator 18 is
Using the welding current and the inter-electrode voltage that are input moment by moment, the inductance characteristic value of the welded portion is calculated by equation (5) (step 6). In the inductance temperature distribution estimation means 17, when the Curie temperature of a steel sheet which is a ferromagnetic substance is exceeded, the inductance temperature distribution becomes a paramagnetic substance and the temperature range of the welded portion which is equal to or higher than the Curie temperature expands in the radial direction. Utilizing the fact that the inductance characteristic value changes, the temperature distribution 2 of the welded portion is estimated using a function experimentally obtained by the inventors (step 7).
【００３５】[0035]
【数５】 [Equation 5]
【００３６】図６には任意の時刻にてキュリー温度を７
００℃とした場合における溶接部の温度分布２を算出し
た結果の一例を示す。インダクタンス特性値の変化よ
り、通電全域にわたってキュリー温度以上となったこと
を示している。In FIG. 6, the Curie temperature is set to 7 at any time.
An example of the result of calculating the temperature distribution 2 of the welded portion when the temperature is 00 ° C. is shown. From the change of the inductance characteristic value, it is shown that the Curie temperature is higher than the entire temperature.
【００３７】前記制御部１３は任意の時間毎に前記目標
ナゲットと前記温度分布推算手段９にて推算された温度
分布１を比較して、前記の設定した溶接条件により決定
された溶接時間における溶接部の温度分布１を前記目標
ナゲットが得られるような値となるように溶接条件を制
御する（ステップ８）。The control unit 13 compares the target nugget with the temperature distribution 1 estimated by the temperature distribution estimating means 9 at arbitrary time intervals, and performs welding at the welding time determined by the welding conditions set above. The welding conditions are controlled so that the temperature distribution 1 of the portion becomes a value that can obtain the target nugget (step 8).
【００３８】調整手段２４は時々刻々に入力される前記
温度分布推算手段９により推算された温度分布１と前記
インダクタンス温度推算手段１７により推算された温度
分布２を比較して、前記温度分布推算手段９により推算
された温度分布１が前記インダクタンス温度推算手段１
７により推算された温度分布２と異なる場合は、前記温
度分布推算手段９に用いる外部要因を示す物性値に変化
があったと判断して物性値を変更する（ステップ９）。
変更については図５で示す温度分布１と図６で示す温度
分布２を比較して行う。第１に両者に差がない場合、物
性値の変更は行わない。第２に温度分布２で示すキュリ
ー温度（本実施例では７００℃と設定したが板種類によ
り異なる。）が温度分布１よりも広い場合、実際の溶接
現象よりも通電径を過小に評価しており通電径を大きく
して発熱量を減少させる方向へ物性値を変更する。第３
に温度分布２で示すキュリー温度が温度分布１よりも狭
い場合、実際の溶接よりも通電径を過大に評価している
ため、通電径を小さくして発熱量を増加させる方向へ物
性値を変更する。The adjusting means 24 compares the temperature distribution 1 estimated by the temperature distribution estimating means 9 and the temperature distribution 2 estimated by the inductance temperature estimating means 17, which are input every moment, and the temperature distribution estimating means is compared. The temperature distribution 1 estimated by 9 is the inductance temperature estimation means 1
If it is different from the temperature distribution 2 estimated by 7, it is judged that the physical property value indicating the external factor used in the temperature distribution estimating means 9 has changed, and the physical property value is changed (step 9).
The change is performed by comparing the temperature distribution 1 shown in FIG. 5 with the temperature distribution 2 shown in FIG. First, if there is no difference between the two, the physical property values are not changed. Secondly, when the Curie temperature indicated by the temperature distribution 2 (700 ° C. in the present embodiment, but different depending on the plate type) is wider than the temperature distribution 1, the current-carrying diameter is evaluated to be smaller than the actual welding phenomenon. The physical property value is changed to increase the diameter of the cage and reduce the amount of heat generation. Third
If the Curie temperature indicated by temperature distribution 2 is narrower than that of temperature distribution 1, the current-carrying diameter is overestimated compared to the actual welding, so the physical property value is changed to decrease the current-carrying diameter and increase the heat generation amount. To do.
【００３９】その後はフローチャートに示す（ステップ
３）から（ステップ９）までを、前記の温度分布推算手
段９により推算される溶接部の温度分布１について前記
目標ナゲットが得られる値となるまで繰り返し実施し
（ステップ１０）、前記目標ナゲットが得られたと判断
した場合は通電を終了する（ステップ１１）。After that, steps (step 3) to (step 9) shown in the flow chart are repeated until the target nugget is obtained for the temperature distribution 1 of the welded portion estimated by the temperature distribution estimating means 9 described above. If it is determined that the target nugget has been obtained (step 10), the energization is terminated (step 11).
【００４０】また、第２手段では前記インダクタンス特
性値演算部１８にて、時々刻々入力される前記溶接電流
と前記電極間電圧を用いて数式（５）により溶接部のイ
ンダクタンス特性値を算出する前記インダクタンス特性
値演算手段１４の代わりにニューラルネットワークを用
いてインダクタンス特性値を算出するニューロ・インダ
クタンス特性値推算手段１５を用いる。In the second means, the inductance characteristic value calculating unit 18 calculates the inductance characteristic value of the welding portion by the mathematical expression (5) using the welding current and the inter-electrode voltage which are input momentarily. In place of the inductance characteristic value calculating means 14, a neuro-inductance characteristic value estimating means 15 for calculating an inductance characteristic value by using a neural network is used.
【００４１】また、第３手段では温度分布推算手段９に
より推算された時々刻々の温度分布１を打点毎に温度分
布記憶手段１０に記憶し、また前記インダクタンス特性
値演算手段１４または前記ニューロ・インダクタンス特
性値推算手段１５により推算されたインダクタンス特性
値に統計的な処理を行った結果を前記インダクタンス特
性値記憶手段１６に記憶する。設定された打点毎に前記
温度分布記憶手段１０により記憶した温度分布１に対し
て任意の範囲の移動平均処理や最大値検索などの統計的
な処理を行った結果と前記インダクタンス特性値記憶手
段１６により記憶したインダクタンス特性値を用いて推
算した温度分布２を比較し前記温度分布推算手段９の調
整を行う。In the third means, the momentary temperature distribution 1 estimated by the temperature distribution estimating means 9 is stored in the temperature distribution storing means 10 for each dot, and the inductance characteristic value calculating means 14 or the neuro-inductance is stored. The inductance characteristic value storage means 16 stores the result of statistically processing the inductance characteristic value estimated by the characteristic value estimation means 15. The result of statistical processing such as moving average processing and maximum value search of the temperature distribution 1 stored by the temperature distribution storage means 10 for each set dot and the inductance characteristic value storage means 16 The temperature distribution estimation means 9 is adjusted by comparing the temperature distribution 2 estimated by using the stored inductance characteristic value.
【００４２】また、第４手段では設定された打点毎に設
定条件記憶手段２６に記憶された設定条件別に、前記の
温度分布記憶手段１０により記憶した温度分布１に対し
て移動平均処理などの統計的な処理を行った結果と、前
記インダクタンス特性値記憶手段１６により記憶したイ
ンダクタンス特性値を用いて推算した温度分布２に対し
て設定条件記憶手段２６に記憶された設定条件別に移動
平均などの統計的な処理を行った結果を、比較して前記
温度分布推算手段９の調整を行う。Further, in the fourth means, statistics such as moving average processing are performed on the temperature distribution 1 stored by the temperature distribution storage means 10 for each set condition stored in the setting condition storage means 26 for each set hitting point. Statistical processing such as a moving average for each of the setting conditions stored in the setting condition storage unit 26 for the temperature distribution 2 estimated using the result of the dynamic processing and the inductance characteristic value stored by the inductance characteristic value storage unit 16. The results of the conventional processing are compared and the temperature distribution estimating means 9 is adjusted.
【００４３】また、第５手段では第１の解決手段と同様
に温度分布推算手段９により温度分布１を推算する。そ
の後に散り発生状況検出手段１９により検出された溶接
電流と検出された電極間電圧を用いて散り発生状況を検
出する。検出された散り発生の時期と、電極間電圧を溶
接電流で割った電極間抵抗の変化の大きさから散り発生
状況を算出する。図７（ａ）は散りが発生した場合の溶
接電流、電極間の抵抗を示す。本実施例においては１８
サイクルにて散りが発生し、抵抗値がΔｒだけ減少して
いる。溶融状況推算手段２２において、散り発生時期は
高温部の拡大する時期に大きく関係し、また散り発生時
の電極間抵抗の変化は散り発生に関わるエネルギー量、
すなわち温度分布を示すことを利用して、発明者らが実
験的に求めた関数を用いて温度分布３を推算する。図７
（ｂ）には推算した温度分布３の一例を示す。本実施例
では１８サイクルにて散りが発生していることおよびΔ
ｒの値を用いて１６サイクルでの溶接部周辺での温度分
布３を平均８００℃と推算している。さらに調整手段２
４において、前記の温度分布推算手段９により推算され
た温度分布１と前記の溶融状況推算手段２２により推算
された溶接部の温度分布３を比較し前記温度分布推算手
段９を調節する。In the fifth means, the temperature distribution estimating means 9 estimates the temperature distribution 1 as in the first solving means. After that, the spatter occurrence state is detected using the welding current detected by the spatter occurrence state detection means 19 and the detected inter-electrode voltage. The dispersion occurrence status is calculated from the detected timing of the dispersion occurrence and the magnitude of the change in the inter-electrode resistance obtained by dividing the inter-electrode voltage by the welding current. FIG. 7 (a) shows the welding current and the resistance between the electrodes when the dispersion occurs. In this embodiment, 18
Dispersion occurs in the cycle and the resistance value decreases by Δr. In the melting state estimation means 22, the spattering occurrence time is largely related to the time when the high temperature part expands, and the change in the inter-electrode resistance at the time of the spattering occurrence is the energy amount related to the spattering occurrence,
That is, utilizing the fact that the temperature distribution is shown, the temperature distribution 3 is estimated using a function experimentally obtained by the inventors. Figure 7
An example of the estimated temperature distribution 3 is shown in (b). In the present embodiment, scattering occurs in 18 cycles and Δ
Using the value of r, the temperature distribution 3 around the weld in 16 cycles is estimated to be 800 ° C. on average. Further adjusting means 2
In step 4, the temperature distribution estimation unit 9 is adjusted by comparing the temperature distribution 1 estimated by the temperature distribution estimation unit 9 with the temperature distribution 3 of the welded portion estimated by the melting state estimation unit 22.
【００４４】また、第６手段では散り発生状況演算部２
３にて、ちり発生状況検出手段１９の代わりに、ニュー
ラルネットワークを用いて散り発生状況を検出するニュ
ーロ散り発生状況推算手段２０を用いる。Further, in the sixth means, the dispersion occurrence status calculation unit 2
In 3, instead of the dust occurrence status detecting means 19, a neuro-scattering occurrence status estimating means 20 for detecting a scattering occurrence status using a neural network is used.
【００４５】また、第７手段では温度分布推算手段９に
より推算された時々刻々の温度分布１を打点毎に前記の
温度分布記憶手段１０に記憶し統計的な処理を行い、ま
た散り発生状況検出手段１９またはニューロ散り発生状
況推算手段２０により推算された散り発生状況を散り発
生状況記憶手段２１に記憶する。設定された打点毎に前
記の温度分布記憶手段１０により記憶した温度分布１に
対して移動平均処理などの統計的な処理を行った値と、
記憶した散り発生状況に統計的な処理を行った値を用い
て推算した温度分布３を比較して前記温度分布推算手段
９の調整を行う。Further, in the seventh means, the momentary temperature distribution 1 estimated by the temperature distribution estimating means 9 is stored in the temperature distribution storing means 10 for each dot and statistically processed, and the occurrence state of dispersion is detected. The dispersion occurrence status estimated by the means 19 or the neuro dispersion occurrence status estimation means 20 is stored in the dispersion occurrence status storage means 21. A value obtained by performing statistical processing such as moving average processing on the temperature distribution 1 stored by the temperature distribution storage means 10 for each set dot;
The temperature distribution estimation means 9 is adjusted by comparing the temperature distribution 3 estimated by using the value obtained by statistically processing the stored occurrence state of dispersion.
【００４６】また、第８手段では設定された打点毎に前
記の温度分布記憶手段１０により記憶した温度分布に対
して設定条件記憶手段２６に記憶された設定条件別に移
動平均処理などの統計的な処理を行った結果と、散り発
生状況記憶手段２１により記憶した散り発生状況に統計
的な処理を行った値を用いて推算した温度分布３を比較
して前記温度分布推算手段９の調整を行う。Further, in the eighth means, the statistical distribution such as moving average processing is performed for each setting condition stored in the setting condition storage means 26 with respect to the temperature distribution stored by the temperature distribution storage means 10 for each set hitting point. The temperature distribution estimating means 9 is adjusted by comparing the temperature distribution 3 estimated by using the value obtained by statistically processing the dispersion occurrence situation stored by the dispersion occurrence situation storage means 21 with the result of the processing. .
【００４７】なお、本実施例においては抵抗溶接の制御
装置としたが、抵抗溶接の品質監視装置に適用し、推算
するナゲットの推算精度を向上させても良く、通電開始
時の溶接条件は入力された値で行うとしたが、予め本装
置にて設定した溶接条件、前記の溶接材に関する情報ま
たは設定された目標ナゲットにより推算した溶接条件に
て通電を開始しても良い。Although the resistance welding control device is used in the present embodiment, the present invention may be applied to a resistance welding quality monitoring device to improve the estimation accuracy of the nugget to be estimated. However, the energization may be started under the welding conditions set in advance by the present apparatus, the information about the welding material, or the welding conditions estimated by the set target nugget.
【００４８】またなお、溶接を温度分布推算手段９によ
り推算される温度分布１について前記目標ナゲットが得
られる値となるまで繰り返すとしたが、設定された溶接
時間において前記目標ナゲットが得られない場合は、そ
のことを表示して通電を停止させても良く、目標ナゲッ
トが得られるまで通電を続けても良い。Although the welding was repeated until the target nugget was obtained with respect to the temperature distribution 1 estimated by the temperature distribution estimating means 9, when the target nugget was not obtained within the set welding time. May display that fact and stop energizing, or may continue energizing until the target nugget is obtained.
【００４９】また、温度分布推算手段９の代わりに測定
したインダクタンス特性値を用いて推算した温度分布２
または散り発生状況を用いて推算した温度分布３を直接
用いて溶接条件を制御しても良い。Further, the temperature distribution 2 estimated by using the measured inductance characteristic value instead of the temperature distribution estimation means 9
Alternatively, the welding condition may be controlled by directly using the temperature distribution 3 estimated by using the scattering occurrence state.
【００５０】またなお、温度分布１と温度分布２の比較
結果及び温度分布１と温度分布２の比較結果を用いて温
度分布推算手段９の物性値を調整する場合、実施例に記
載の方法に限定するものではない。Further, when the physical property values of the temperature distribution estimating means 9 are adjusted by using the comparison result of the temperature distribution 1 and the temperature distribution 2 and the comparison result of the temperature distribution 1 and the temperature distribution 2, the method described in the embodiment is used. It is not limited.
【００５１】以上のように本実施の形態によれば、第１
手段では溶接電流検出手段５と、電極間間電圧検出手段
６と、前記検出手段により検出した溶接電流及び電極間
電圧の経時変化から溶接部の温度分布を推算する温度分
布推算手段９と、前記溶接電流及び前記電極間電圧の経
時変化から溶接部のインダクタンス特性値を演算するイ
ンダクタンス特性演算手段１４と、前記温度分布推算手
段９により推算した温度分布と、前記インダクタンス特
性値を用いて推算した温度分布を比較した結果を用いて
前記温度分布推算手段９を調整する調整手段２４と、前
記温度分布により溶接条件を制御する制御手段１３を備
えて、溶接位置が被溶接材の端部あるいは被溶接材同士
の合いが悪い場合などの外部要因が変化した場合でも、
温度分布推算手段９をインダクタンス特性値を用いて推
算した温度分布により調整することで通電中の時々刻々
の温度分布が精度良く推算可能となるため、前記の温度
分布を用いて前記目標ナゲットが得られるように溶接条
件を制御することで、前記目標ナゲットを生成すること
ができるものである。As described above, according to this embodiment, the first
The welding current detecting means 5, the inter-electrode voltage detecting means 6, the temperature distribution estimating means 9 for estimating the temperature distribution of the welded portion from the temporal change of the welding current and the inter-electrode voltage detected by the detecting means, and Inductance characteristic calculation means 14 for calculating the inductance characteristic value of the welded portion from the change over time of the welding current and the voltage between the electrodes, the temperature distribution estimated by the temperature distribution estimation means 9, and the temperature estimated using the inductance characteristic value. An adjusting means 24 for adjusting the temperature distribution estimating means 9 by using the result of comparing the distributions and a control means 13 for controlling the welding conditions by the temperature distribution are provided, and the welding position is the end of the material to be welded or the welded material. Even if external factors change, such as when the materials do not fit well,
By adjusting the temperature distribution estimating means 9 with the temperature distribution estimated using the inductance characteristic value, the temperature distribution at every moment during energization can be accurately estimated, so that the target nugget can be obtained by using the temperature distribution. By controlling the welding conditions so that the target nugget can be generated.
【００５２】また、第２手段では第１の解決手段におい
て前記のニューロ・インダクタンス特性値推算手段１５
を用いることで、安価でより高速なインダクタンス特性
値の推算が可能となり、インダクタンス特性値により推
算した温度分布を用いて調整した温度分布推算手段９を
用いて溶接条件を制御することで、目標ナゲットを生成
することができるものである。In the second means, the neuro-inductance characteristic value estimating means 15 in the first solving means is used.
By using, it becomes possible to estimate the inductance characteristic value at a low cost and at high speed, and by controlling the welding condition using the temperature distribution estimating means 9 adjusted using the temperature distribution estimated by the inductance characteristic value, the target nugget can be obtained. Is the one that can generate.
【００５３】また、第３手段では第１または第２の解決
手段に加え、設定された打点毎に前記の温度分布記憶手
段１０により記憶した温度分布に対して移動平均処理な
どの統計的な処理を行った結果と、前記インダクタンス
特性値記憶手段１６に記憶されたインダクタンス特性値
を用いて推算した温度分布を比較することで、連続した
打点において徐々に変化する電極損耗などの外部要因に
関しても、合いの悪さなどの個々の打点のばらつきを排
除した状態にて温度分布推算手段９の調整を行うことが
できるものである。In the third means, in addition to the first or second solving means, statistical processing such as moving average processing is performed on the temperature distribution stored by the temperature distribution storage means 10 for each set dot. By comparing the result obtained by performing the above and the temperature distribution estimated by using the inductance characteristic value stored in the inductance characteristic value storage means 16, the external factors such as the electrode wear gradually changing at consecutive dot points can be obtained. The temperature distribution estimation means 9 can be adjusted in a state where variations in individual hit points such as poor fit are eliminated.
【００５４】また、第４手段では第３の解決手段に加
え、設定条件記憶手段２６に記憶された設定条件別に比
較を行うことで、連続打点中に板厚や材質などの設定条
件が異なる溶接が存在しても前記温度分布推算手段９の
調整を行うことができるものである。Further, in the fourth means, in addition to the third solving means, comparison is made for each set condition stored in the set condition storage means 26, so that welding with different set conditions such as plate thickness and material during continuous welding is performed. Even if there is, the temperature distribution estimating means 9 can be adjusted.
【００５５】また、第５手段では溶接電流検出手段５
と、電極間電圧検出手段６と、前記検出手段により検出
した溶接電流及び電極間電圧の経時変化から溶接部の温
度分布１を推算する温度分布推算手段９と、前記溶接電
流及び前記電極間電圧の経時変化から散り発生状況を検
出する散り発生状況検出手段１９と、前記散り発生状況
を用いて溶接部の温度分布３を推算する溶融状況推算手
段２２と、前記温度分１と前記温度分布３を比較して前
記温度分布推算手段９を調整する調整手段２４と、前記
温度分布１により溶接条件を制御する制御手段１３を備
えて、溶接位置が被溶接材の端部あるいは被溶接材同士
の合いが悪い場合などの外部要因が変化した場合でも、
温度分布推算手段９を散り発生状況を用いて推算した温
度分布により調整することで、通電中の時々刻々の温度
分布が精度良く推算可能となるため、前記の温度分布を
用いて溶接条件を制御することで、目標ナゲットを生成
することができるものである。In the fifth means, the welding current detecting means 5 is used.
An inter-electrode voltage detecting means 6, a temperature distribution estimating means 9 for estimating the temperature distribution 1 of the welded portion from the temporal change of the welding current and the inter-electrode voltage detected by the detecting means, the welding current and the inter-electrode voltage The spatter occurrence state detection means 19 for detecting the spatter occurrence situation from the change over time, the melting situation estimation means 22 for estimating the temperature distribution 3 of the welded portion using the spatter occurrence situation, the temperature component 1 and the temperature distribution 3 And the control means 13 for controlling the welding conditions by the temperature distribution 1, so that the welding position is the end of the material to be welded or the materials to be welded are Even if external factors change, such as when the fit is poor,
Since the temperature distribution estimating means 9 is adjusted by the temperature distribution estimated using the scattered occurrence state, it is possible to accurately estimate the temperature distribution every moment during energization. Therefore, the welding conditions are controlled using the temperature distribution described above. By doing so, the target nugget can be generated.
【００５６】また、第６手段では第５の解決手段におい
てニューロ散り発生状況推算手段２０を用いることで、
安価でより高速な散り発生状況の推算が可能となり、散
り発生状況により調整した温度分布１を用いて溶接条件
を制御することで、目標ナゲットを生成することができ
るものである。In the sixth means, by using the neuroscattering occurrence state estimating means 20 in the fifth solving means,
It is possible to inexpensively estimate the spatter occurrence state at a higher speed, and control the welding conditions using the temperature distribution 1 adjusted according to the spatter occurrence state, whereby the target nugget can be generated.
【００５７】また、第７手段では第５または第６の解決
手段に加え、設定された打点毎に前記の温度分布記憶手
段１０により記憶した温度分布に対して移動平均処理な
どの統計的な処理を行った結果と散り発生状況検出手段
１９またはニューロ散り発生状況推算手段２０により記
憶した散り発生状況に対して移動平均などの統計的な処
理を行った結果を用いて推算した温度分布３を比較する
ことで、連続した打点において徐々に変化する電極損耗
などの外部要因に関しても、合いの悪さなどの個々の打
点のばらつきを排除した温度分布推算手段９の調整を行
い、散り発生状況により調整した温度分布１を用いて溶
接条件を制御することで、目標ナゲットを生成すること
ができるものである。In the seventh means, in addition to the fifth or sixth solving means, statistical processing such as moving average processing is performed on the temperature distribution stored by the temperature distribution storage means 10 for each set dot. The temperature distribution 3 estimated using the result obtained by performing the statistical processing such as moving average for the dispersion occurrence status stored by the dispersion occurrence status detection unit 19 or the neuro dispersion occurrence status estimation unit 20 By doing so, with respect to external factors such as electrode wear that gradually changes at successive hitting points, the temperature distribution estimating means 9 is adjusted to eliminate variations of individual hitting points such as poor fit, and the temperature distribution estimating means 9 is adjusted according to the occurrence state of scattering. By controlling the welding conditions using the temperature distribution 1, the target nugget can be generated.
【００５８】また、第８手段では第７の解決手段に加
え、設定条件記憶手段２６に記憶された設定条件別に比
較を行うことで、連続打点中に板厚や材質などの設定条
件が異なる溶接が存在しても前記温度分布推算手段９の
調整を行い、散り発生状況により調整した温度分布１を
用いて溶接条件を制御することで、目標ナゲットを生成
することができるものである。In the eighth means, in addition to the seventh solving means, comparison is made for each set condition stored in the set condition storage means 26, so that welding with different set conditions such as plate thickness and material during continuous welding is performed. Even if there is any, the target nugget can be generated by adjusting the temperature distribution estimating means 9 and controlling the welding conditions using the temperature distribution 1 adjusted according to the occurrence state of scattering.
【００５９】[0059]
【発明の効果】本発明の第１手段では観測可能な物理現
象であるインダクタンス特性値を算出し、算出したイン
ダクタンス特性値の変化を用いて推算した温度分布を用
いて温度分布推算手段を調整することで、電極が損耗す
るなどの外部要因が変化した場合でも、それに応じた温
度分布の推定が可能となると共に、調整した温度分布を
用いて目標ナゲットが得られるように溶接条件を制御す
ることで、溶接位置が被溶接材の端部あるいは被溶接材
同士の合いが悪い場合などの外部要因が変化した場合で
も、安定して目標ナゲットを得ることができる抵抗溶接
機の制御装置を提供することができる。According to the first means of the present invention, the inductance characteristic value which is an observable physical phenomenon is calculated, and the temperature distribution estimating means is adjusted by using the temperature distribution estimated by using the change in the calculated inductance characteristic value. This makes it possible to estimate the temperature distribution accordingly even when external factors such as electrode wear change, and control the welding conditions so that the target nugget can be obtained using the adjusted temperature distribution. Thus, a control device for a resistance welding machine that can stably obtain a target nugget even when an external factor such as a case where the welding position is an end portion of the material to be welded or the material to be welded is not properly fitted is provided. be able to.
【００６０】さらに第２手段では、第１手段のなかでイ
ンダクタンス特性値を算出することに換えて、ニューラ
ルネットワークを用いてインダクタンス特性値を推算す
ることで、複雑な計算を行うことなくインダクタンス特
性値を推算し、温度分布推算手段を調整することが可能
となる。Furthermore, in the second means, instead of calculating the inductance characteristic value in the first means, the inductance characteristic value is estimated using a neural network, so that the inductance characteristic value can be calculated without complicated calculation. Then, it becomes possible to adjust the temperature distribution estimation means.
【００６１】さらに第３手段では、第１手段または第２
手段に加え、複数回の溶接について求めたインダクタン
ス特性値に、統計的な処理を行って求めた値を用いて温
度分布推算手段を調整することで、打点毎のばらつきに
関係なく、電極の損耗などの徐々に変化する外部要因に
応じて温度分布推算手段の調整が可能となる。Further, in the third means, the first means or the second means
In addition to the means, by adjusting the temperature distribution estimation means by using the value obtained by performing statistical processing on the inductance characteristic value obtained for multiple weldings, the electrode wear regardless of the variation at each welding point It becomes possible to adjust the temperature distribution estimation means according to gradually changing external factors such as.
【００６２】さらに第４手段では、第３手段に加え、打
点毎に変化する板厚や溶接電流などの設定条件別に温度
分布推算手段の調整を行うことで、１台の溶接機にて複
数の設定条件の溶接を行う場合でも、同じ設定条件の中
で温度分布推算手段の調整が可能となる。Further, in the fourth means, in addition to the third means, the temperature distribution estimating means is adjusted according to the setting conditions such as the plate thickness and the welding current which change for each welding point. Even when performing welding under the set conditions, the temperature distribution estimation means can be adjusted under the same set conditions.
【００６３】さらに第５手段では観測可能な物理現象で
ある散りの発生状況を検出し、前記の散り発生状況を用
いて推算した温度分布により温度分布推算手段を調整す
ることで電極が損耗するなどの外部要因が変化した場合
ても、それに応じた温度分布の推定が可能となると共
に、調整した温度分布を用いて目標ナゲットが得られる
ように溶接条件を制御することで、溶接位置が被溶接材
の端部あるいは被溶接材同士の合いが悪い場合などの、
外部要因が変化した場合でも安定して目標ナゲットを得
ることができる抵抗溶接機の制御装置を提供することが
できる。Further, in the fifth means, the occurrence state of splattering which is an observable physical phenomenon is detected, and the electrode is worn by adjusting the temperature distribution estimating means according to the temperature distribution estimated using the above-mentioned splattering state. Even if the external factor changes, the temperature distribution can be estimated accordingly, and by controlling the welding conditions so that the target nugget can be obtained using the adjusted temperature distribution, the welding position can be adjusted. For example, when the edges of the material or the materials to be welded are not well matched,
It is possible to provide a control device for a resistance welding machine that can stably obtain a target nugget even when external factors change.
【００６４】さらに第６手段では、第５手段のなかで散
り状況を検出することに換えて、ニューラルネットワー
クを用いて散り状況を推算することで、複雑な計算を行
うことなく散り状況を高速に求めることが可能となり、
温度分布推算手段を調整することができる。Further, in the sixth means, instead of detecting the dispersion status in the fifth means, the dispersion status is estimated using a neural network, so that the dispersion status can be calculated at high speed without performing complicated calculations. It ’s possible to ask,
The temperature distribution estimation means can be adjusted.
【００６５】さらに第７手段では、第５手段または第６
手段に加え、複数回の溶接について検出した散り状況
に、統計的な処理を行って求めた値により推算した温度
分布を用いて温度分布推算手段を調整することで、打点
毎のばらつきに関係なく、電極の損耗などの徐々に変化
する外部要因に応じて温度分布推算手段の調整が可能と
なる。Further, in the seventh means, the fifth means or the sixth means
In addition to the means, by adjusting the temperature distribution estimation means using the temperature distribution estimated by the value obtained by performing statistical processing on the dispersion state detected for multiple weldings, regardless of the variation of each welding point. The temperature distribution estimating means can be adjusted according to gradually changing external factors such as wear of the electrodes.
【００６６】さらに第８手段では、第７手段に加え、打
点毎に変化する板厚や溶接電流などの設定条件別に温度
分布推算手段の調整を行うことで、１台の溶接機にて複
数の設定条件の溶接を行う場合でも、同じ設定条件の中
で温度分布推算手段の調整を行うことが可能となるもの
である。Further, in the eighth means, in addition to the seventh means, the temperature distribution estimating means is adjusted according to the setting conditions such as the plate thickness and the welding current which change for each welding point. Even when welding under the set conditions, the temperature distribution estimating means can be adjusted under the same set conditions.
【図１】本発明の実施の形態における抵抗溶接機の制御
装置の構成を示すブロック図FIG. 1 is a block diagram showing a configuration of a control device for a resistance welding machine according to an embodiment of the present invention.
【図２】同抵抗溶接機の制御装置の動作を示すフローチ
ャートFIG. 2 is a flowchart showing the operation of the control device of the resistance welding machine.
【図３】温度分布の推算手順を示すフローチャートFIG. 3 is a flowchart showing a procedure for estimating a temperature distribution.
【図４】（ａ）は同実施の形態における溶接部断面の区
分図
（ｂ）は同実施の形態における溶接部の環状立体区分図4A is a sectional view of a cross section of a welded portion in the same embodiment, and FIG. 4B is an annular solid sectional view of a welded portion in the same embodiment.
【図５】同実施の形態における溶接部の温度分布１の算
出例を示す図FIG. 5 is a diagram showing a calculation example of a temperature distribution 1 of a welded portion in the same embodiment.
【図６】同実施の形態における溶接部の温度分布２の算
出例を示す図FIG. 6 is a diagram showing a calculation example of a temperature distribution 2 of a welded portion in the same embodiment.
【図７】（ａ）は同実施の形態における溶接電流と電極
間抵抗の波形の一例を示す特性図
（ｂ）は同実施の形態における温度分布３の算出例を示
す図7A is a characteristic diagram showing an example of waveforms of welding current and interelectrode resistance in the same embodiment, and FIG. 7B is a diagram showing a calculation example of temperature distribution 3 in the same embodiment.
５ トロイダルコイル（電流検出手段） ６ 電極間電圧検出手段（電極間電圧測定手段） ９ 温度分布推算手段 １３ 制御手段 １４ インダクタンス特性値演算手段 １５ ニューロ・インダクタンス特性値推算手段 １６ インダクタンス特性値記憶手段 １９ 散り発生状況検出手段 ２０ ニューロ散り発生状況推算手段 ２１ 散り発生状況記憶手段 ２４ 調整手段 ２６ 設定条件記憶手段 5 Toroidal coil (current detection means) 6 Inter-electrode voltage detection means (inter-electrode voltage measurement means) 9 Temperature distribution estimation means 13 Control means 14 Inductance characteristic value calculation means 15 Neuro-inductance characteristic value estimation means 16 Inductance characteristic value storage means 19 Scatter occurrence status detection means 20 Neuroscattering occurrence status estimation means 21 Dispersion occurrence status storage means 24 Adjustment means 26 setting condition storage means
フロントページの続き (51)Int.Cl.7 識別記号 ＦＩ Ｇ０５Ｂ 13/02 Ｇ０５Ｂ 13/02 Ｌ (56)参考文献 特開 平６−106362（ＪＰ，Ａ) 特開 平６−198453（ＪＰ，Ａ) 特開 平６−71457（ＪＰ，Ａ) 特開 平７−148580（ＪＰ，Ａ) 特開 平８−318377（ＪＰ，Ａ) 実開 平２−123385（ＪＰ，Ｕ) (58)調査した分野(Int.Cl.7，ＤＢ名) B23K 11/25 B23K 11/11 B23K 11/24 G01N 27/00 G05B 13/02 Continuation of front page (51) Int.Cl. 7 identification code FI G05B 13/02 G05B 13/02 L (56) Reference JP-A-6-106362 (JP, A) JP-A-6-198453 (JP, A ) JP-A-6-71457 (JP, A) JP-A-7-148580 (JP, A) JP-A-8-318377 (JP, A) Actually developed JP-A-2-123385 (JP, U) (58) Field (Int.Cl. 7 , DB name) B23K 11/25 B23K 11/11 B23K 11/24 G01N 27/00 G05B 13/02
Claims (8)
と、前記検出手段により検出した溶接電流および電極間
電圧の経時変化から溶接部の温度分布１を推算する温度
分布推算手段と、 前記溶接電流および前記電極間電圧の経時変化から溶接
部のインダクタンス特性値を算出するインダクタンス特
性値演算手段と、 前記温度分布推算手段により推算された温度分布１と前
記インダクタンス特性値を用いて推算した温度分布２を
比較した結果により前記温度分布推算手段を調整する調
整手段と、 前記温度分布１を用いて溶接条件である溶接電流、溶接
時間または加圧力の少なくとも１つを制御する制御手段
とを備えた抵抗溶接機の制御装置。1. A welding current detecting means, an inter-electrode voltage detecting means, and a temperature distribution estimating means for estimating a temperature distribution 1 of a welded portion from a temporal change in the welding current and the inter-electrode voltage detected by the detecting means. Inductance characteristic value calculating means for calculating the inductance characteristic value of the welded portion from the change over time of the welding current and the voltage between the electrodes, the temperature distribution 1 estimated by the temperature distribution estimating means, and the temperature estimated using the inductance characteristic value. The temperature distribution estimating means is adjusted according to the result of comparing the distributions 2, and the temperature distribution 1 is used to control at least one of welding conditions such as welding current, welding time and pressure. Resistance welding machine control device.
と、前記検出手段により検出した溶接電流および電極間
電圧の経時変化から溶接部の温度分布１を推算する温度
分布推算手段と、 前記溶接電流および前記電極間電圧の経時変化からニュ
ーラルネットワークを用いてインダクタンス特性値を推
算するニューロ・インダクタンス特性値推算手段と、 前記温度分布推算手段により推算された温度分布１と前
記インダクタンス特性値を用いて推算した温度分布２を
比較した結果により前記温度分布推算手段を調整する調
整手段と、 前記温度分布１を用いて溶接条件を制御する制御手段と
を備えた抵抗溶接機の制御装置。2. A welding current detecting means, an inter-electrode voltage detecting means, and a temperature distribution estimating means for estimating a temperature distribution 1 of a welded portion from a temporal change of the welding current and the inter-electrode voltage detected by the detecting means, A neuro-inductance characteristic value estimating means for estimating an inductance characteristic value by using a neural network from a temporal change of a welding current and the inter-electrode voltage, and a temperature distribution 1 and the inductance characteristic value estimated by the temperature distribution estimating means. A control apparatus for a resistance welding machine, comprising: an adjusting unit that adjusts the temperature distribution estimating unit based on a result of comparing the temperature distributions 2 estimated by the above; and a control unit that controls welding conditions using the temperature distribution 1.
する温度分布記憶手段と、 インダクタンス特性値を打点毎に記憶するインダクタン
ス特性値記憶手段と、 前記の記憶した温度分布１に統計的な処理を行った値と
前記の記憶したインダクタンス特性値に統計的な処理を
行った値により推算した温度分布２を比較した結果を用
いて前記温度分布推算手段を調整する調整手段とを備え
た請求項１または請求項２記載の抵抗溶接機の制御装
置。3. A temperature distribution storage means for storing the temperature distribution 1 every moment for each welding point, an inductance characteristic value storage means for storing an inductance characteristic value for each welding point, and the stored temperature distribution 1 is statistically stored. The temperature distribution estimation means is adjusted by using a result obtained by comparing the temperature distribution 2 estimated by a value obtained by performing various processing and a value obtained by statistically processing the stored inductance characteristic value. The control device for the resistance welding machine according to claim 1 or 2.
記憶手段と、 設定した打点について前記設定条件別に記憶した前記温
度分布１に統計的な処理を行った値と前記の記憶した前
記インダクタンス特性値に統計的な処理を行った値によ
り推算した温度分布２を比較した結果を用いて前記温度
分布推算手段を調整する調整手段とを備えた請求項３記
載の抵抗溶接機の制御装置。4. Setting condition storage means for storing the setting conditions of each welding point, a value obtained by statistically processing the temperature distribution 1 stored for each set condition for the set welding point, and the stored inductance. The control device for a resistance welding machine according to claim 3, further comprising: an adjusting unit that adjusts the temperature distribution estimating unit by using a result of comparing the temperature distributions 2 estimated by a value obtained by statistically processing the characteristic value.
と、前記検出手段により検出した溶接電流および電極間
電圧の経時変化から溶接部の温度分布１を推算する温度
分布推算手段と、 前記溶接電流および前記電極間電圧の経時変化から散り
の発生時期および散り発生状況を検出する散り発生状況
検出手段と、 前記温度分布推算手段により推算された温度分布１と前
記散り発生状況を用いて推算した温度分布３を比較した
結果により前記温度分布推算手段を調整する調整手段
と、 前記温度分布１を用いて溶接条件を制御する制御手段と
を備えた抵抗溶接機の制御装置。5. A welding current detecting means, an inter-electrode voltage detecting means, and a temperature distribution estimating means for estimating a temperature distribution 1 of a welded portion from a temporal change in the welding current and the inter-electrode voltage detected by the detecting means, Dispersion occurrence state detection means for detecting the occurrence timing and dispersion occurrence situation of welding from the change of welding current and the voltage between the electrodes, and temperature distribution 1 estimated by the temperature distribution estimation means and estimated using the dispersion occurrence situation A controller for a resistance welding machine, comprising: an adjusting unit that adjusts the temperature distribution estimating unit based on a result of comparing the temperature distributions 3 and a control unit that controls welding conditions using the temperature distribution 1.
と、前記検出手段により検出した溶接電流および電極間
電圧の経時変化から溶接部の温度分布１を推算する温度
分布推算手段と、 前記溶接電流および前記電極間電圧の経時変化からニュ
ーラルネットワークを用いて散り発生状況を検出するニ
ューロ散り発生状況推算手段と、 前記温度分布推算手段により推算された温度分布１と前
記散り発生状況を用いて推算した温度分布３を比較した
結果により前記温度分布推算手段を調整する調整手段
と、 前記温度分布１を用いて溶接条件を制御する制御手段と
を備えた抵抗溶接機の制御装置。6. A welding current detecting means, an inter-electrode voltage detecting means, and a temperature distribution estimating means for estimating a temperature distribution 1 of a welded portion from a temporal change of the welding current and the inter-electrode voltage detected by the detecting means, Using a neuron dispersion occurrence status estimating means for detecting the occurrence of the dispersion occurrence using a neural network from the changes over time of the welding current and the voltage between the electrodes, and using the temperature distribution 1 and the dispersion occurrence status estimated by the temperature distribution estimation means. A control device for a resistance welding machine, comprising: an adjusting unit that adjusts the temperature distribution estimating unit based on a result of comparing the estimated temperature distributions 3; and a control unit that controls welding conditions using the temperature distributions 1.
する温度分布記憶手段と、 溶接部の散り発生状況を打点毎に記憶する散り発生状況
記憶手段と、 前記の記憶した温度分布１に統計的な処理を行った値と
前記の記憶した散り発生状況に統計的な処理を行った値
により推算した温度分布３を比較した結果を用いて前記
温度分布推算手段を調整する調整手段とを備えた請求項
５または請求項６記載の抵抗溶接機の制御装置。7. A temperature distribution storage means for storing a temperature distribution 1 for each welding point every moment, a dispersion occurrence state storage means for storing a dispersion occurrence situation of a welded portion for each welding point, and the stored temperature distribution 1 And an adjusting means for adjusting the temperature distribution estimating means by using a result of comparing the temperature distribution 3 estimated by the statistically processed value with the stored statistically processed value. The control device for the resistance welding machine according to claim 5 or 6, further comprising:
記憶手段と、 設定した打点について前記設定条件別に記憶した前記温
度分布１に統計的な処理を行った値と記憶した前記の散
り発生状況に統計的な処理を行った値により推算した温
度分布３を比較した結果を用いて前記温度分布推算手段
を調整する調整手段とを備えた請求項７記載の抵抗溶接
機の制御装置。8. Setting condition storage means for storing the setting conditions of each welding spot, and a value obtained by statistically processing the temperature distribution 1 stored for each set condition for the set welding spot and the occurrence of the dispersion described above. The control device for a resistance welding machine according to claim 7, further comprising an adjusting unit that adjusts the temperature distribution estimating unit by using a result of comparing the temperature distributions 3 estimated by a value obtained by statistically processing the situation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP02088296A JP3379323B2 (en) | 1996-02-07 | 1996-02-07 | Control device of resistance welding machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP02088296A JP3379323B2 (en) | 1996-02-07 | 1996-02-07 | Control device of resistance welding machine |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPH09216071A JPH09216071A (en) | 1997-08-19 |
| JP3379323B2 true JP3379323B2 (en) | 2003-02-24 |
Family
ID=12039575
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP02088296A Expired - Fee Related JP3379323B2 (en) | 1996-02-07 | 1996-02-07 | Control device of resistance welding machine |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP3379323B2 (en) |
Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002024392A1 (en) * | 2000-09-21 | 2002-03-28 | Massachusetts Institute Of Technology | Spot welding system and method for sensing welding conditions in real time |
| JP4822545B2 (en) * | 2007-03-27 | 2011-11-24 | 電子磁気工業株式会社 | Nugget diameter measuring method and nugget diameter measuring apparatus |
| JP5920523B2 (en) | 2013-03-08 | 2016-05-18 | Ｊｆｅスチール株式会社 | Resistance spot welding method |
| MX344288B (en) | 2013-03-29 | 2016-12-13 | Jfe Steel Corp | Resistance spot welding system. |
| JP5900699B2 (en) | 2013-10-04 | 2016-04-06 | Ｊｆｅスチール株式会社 | Resistance spot welding method |
| CN106132622B (en) | 2013-12-27 | 2018-08-31 | 杰富意钢铁株式会社 | Resistance spot welding method |
| KR101880380B1 (en) | 2014-06-12 | 2018-07-19 | 제이에프이 스틸 가부시키가이샤 | Resistance spot welding device and resistance spot welding method |
| US10773334B2 (en) | 2015-04-27 | 2020-09-15 | Jfe Steel Corporation | Resistance spot welding method |
| KR102215856B1 (en) | 2016-06-09 | 2021-02-15 | 제이에프이 스틸 가부시키가이샤 | Resistance spot welding method |
| KR102265224B1 (en) | 2017-08-18 | 2021-06-14 | 제이에프이 스틸 가부시키가이샤 | Resistance spot welding method and weld member production method |
| EP3756814B1 (en) | 2018-02-19 | 2023-11-22 | JFE Steel Corporation | Resistance spot welding method and weld member production method |
| KR102415951B1 (en) | 2018-06-29 | 2022-06-30 | 제이에프이 스틸 가부시키가이샤 | Resistance spot welding method and manufacturing method of a welded member |
| WO2020004117A1 (en) | 2018-06-29 | 2020-01-02 | Ｊｆｅスチール株式会社 | Resistance spot welding method and method for manufacturing welded member |
| KR102415945B1 (en) | 2018-06-29 | 2022-06-30 | 제이에프이 스틸 가부시키가이샤 | Resistance spot welding method and manufacturing method of a welded member |
| WO2020095847A1 (en) * | 2018-11-08 | 2020-05-14 | Ｊｆｅスチール株式会社 | Resistance spot welding method and method for manufacturing welded member |
| US20220281026A1 (en) | 2019-08-29 | 2022-09-08 | Jfe Steel Corporation | Resistance spot welding method and weld member production method |
-
1996
- 1996-02-07 JP JP02088296A patent/JP3379323B2/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| JPH09216071A (en) | 1997-08-19 |
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