Shiliang Zhu

TL;DR: Wang et al. as discussed by the authors proposed to collect the state information in the welding process and combine with the unsupervised learning method to predict the final welding quality, including the dynamic resistance curve, electrode displacement curve, and upset pressure curve.

TL;DR: In this article, the authors proposed a material stack-up identification method based on dynamic resistance for the first time in the field of resistance spot welding, and the results show that before dimensionality reduction, the classification accuracy of the random forest is the highest, reaching 93.9%.

TL;DR: A novel online monitoring method of electrode wear state is proposed by exploring the variation pattern of dynamic resistance using static evaluation method and dynamic evaluation method in this paper.

TL;DR: In this article, the authors optimized the current waveform of the heating phase, the holding current and holding time of the holding phase to solve the problems of low brazing ratio and poor quality stability of constant current induction heating.