Real-time monitoring of dynamic signals and quality prediction for resistance spot welding

WEN Jing; JIA Hongde

doi:10.7512/j.issn.1001-2303.2020.05.21

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Real-time monitoring of dynamic signals and quality prediction for resistance spot welding
Vol. 50, Issue 5, Pages: 102-106(2020)
Published：2020
DOI： 10.7512/j.issn.1001-2303.2020.05.21
稿件说明：

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DOI：

WEN Jing, JIA Hongde. Real-time monitoring of dynamic signals and quality prediction for resistance spot welding[J]. Eletric Welding Machine2020, 50(5): 102-106. DOI： 10.7512/j.issn.1001-2303.2020.05.21.

摘要

利用现代传感技术和计算机监测技术

建立电阻点焊电信号和机械信号实时监测系统

实现对点焊过程中焊接电流、电极间电压、动态电阻和动态电极压力的实时监测。根据动态电阻和动态电极压力的变化规律

通过相关分析

提取表征焊接质量的动态电阻特征值和动态电极压力特征值。利用多元线性回归分析建立点焊质量预测模型

选用设定的焊接电流、电极压力、焊接时间、动态电阻特征值和动态电极压力特征值作为输入变量

表征点焊质量的熔核直径作为输出变量。试验结果表明

建立的点焊质量预测模型可较准确地预测点焊熔核直径

最大预测偏差不超过0.4 mm。

Abstract

Throug h using modern sensor technology and computer monitoring technology

a real-time monitoring system of electrical and mechanical signals was established to monitor welding current

voltage between electrodes

dynamic resistance and dynamic electrode force during resistance spot welding.According to the regularity of dynamic resistance and electrode force

characteristic values were extracted from these signals by correlation analysis. A welding quality prediction model was established by using multiple linear regression analysis. Preset welding current

preset electrode force

welding time

charac-teristic values extracted from dynamic resistance and dynamic electrode force were chosen as the input variables for the model

and nugget diameter was chosen as the output variable.The results showed that the established model could forecast nugget diameter accurately and the maximum deviation was no more than 0.4 mm.