Online estimation and characteristic analysis of double nugget diameters during aluminum/steel resistance spot welding process  

作　　者：Kang Zhou Wen-xiao Yu Bao-kai Ren Gang Wang 

机构地区：[1]School of Mechatronical Engineering,Beijing Institute of Technology,Beijing 100081,China

出　　处：《Journal of Iron and Steel Research International》2024年第8期2053-2067,共15页钢铁研究学报（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China(No.51605103).

摘　　要：Online estimation of the double nugget diameters was performed by means of a back propagation neural network.The double nugget diameters were obtained using actual welding experiment and numerical simulation,according to different characteristics of aluminum nugget and steel nugget.The input of the neural network was some key characteristic parameters extracted from dynamic power signal,which were peak point,knee point and their variation rate over time,as well as heat energy delivered into the welding system.The architecture of the neural network was confirmed by confirming the number of neurons in hidden layer through a series of calculations.The key parameters of the neural network were obtained by means of training 81 arrays of data set.Then,the neural network was used to test the remaining 20 arrays of verifying data set,and the results showed that both of the mean errors for the two nugget diameters were below 3%.In addition,corresponding analyses showed that the accuracy of two nugget diameters was higher than that of tensile-shear strength.

关 键 词：Resistance spot welding ALUMINUM STEEL Double nugget Dynamic power signal.Neural network 

分 类 号：TG453.9[金属学及工艺—焊接]