Collaborative Simulation of Nugget Growth and Process Signals for Resistance Spot Welding

被引:14
作者
Xia, Yu-Jun [1 ]
Lv, Tian-Le [1 ]
Ghassemi-Armaki, Hassan [2 ]
Li, Yong-Bing [1 ]
Carlson, Blair E. [2 ]
机构
[1] Shanghai Jiao Tong Univ, Shanghai Key Lab Digital Manufacture Thin Walled S, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
[2] Mfg Syst Res Lab, Gen Motors Res & Dev, Warren, MI 48092 USA
基金
中国国家自然科学基金;
关键词
Resistance spot welding; Numerical simulation; Process signal; Weld geometry; Labeled data generation; DUAL-PHASE STEEL; QUALITY ASSESSMENT; AL;
D O I
10.1007/s40194-023-01489-4
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
In this work, an electrical-thermal-mechanical coupled finite element (FE) model for resistance spot welding (RSW) process is developed to achieve a simultaneous simulation of not only nugget growth but also process signals including dynamic resistance and electrode displacement. The model entails a multi-objective optimization problem of hard-to-measure physical quantities. During the optimization process, the limitation of adjusting only the interface contact parameters is found and corrected by introducing an enhanced thermal conductivity due to molten metal flow. Experimental validation confirmed simulation accuracy and adaptability to sheet metal thickness and welding process parameter variation. The model can directly generate process signal data with accurate quality indexes, which supports solving the problem of insufficient labeled data in model training for RSW quality prediction.
引用
收藏
页码:1377 / 1392
页数:16
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