Weld quality monitoring research in small scale resistance spot welding by dynamic resistance and neural network

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• 作者：Xiaodong Wan^a ; ^b ; Yuanxun Wang^b ; ^c ; ^{wangyuanxun@hust.edu.cn} ; Dawei Zhao^b ; ^d ; YongAn Huang^a ; Zhouping Yin^a
• 关键词：Small scale resistance spot welding ; Titanium alloy ; Quality monitoring ; Dynamic resistance ; Multiple linear regression analysis ; Back propagation neural network
• 刊名：Measurement
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：99
• 期：Complete
• 页码：120-127
• 全文大小：963 K
• 卷排序：99

文摘

Features extracted from dynamic resistance are obviously affected by welding current. Weld quality shows the highest correlation with end resistance. Regression analysis could be used for a preliminary quality estimation. The BPNN could be adopted to further improve quality estimation accuracy.