About this Abstract |
Meeting |
Advances in Welding and Additive Manufacturing Research 2022
|
Symposium
|
Advances in Welding and Additive Manufacturing Research 2022
|
Presentation Title |
Quantitative Interpretation of the Dynamic Resistance Signal in Resistance Spot Welding |
Author(s) |
Yu-Jun Xia, Tian-Le Lv, Hassan Ghassemi-Armaki, Yong-Bing Li, Blair E. Carlson |
On-Site Speaker (Planned) |
Yu-Jun Xia |
Abstract Scope |
Dynamic resistance is one of the most common and important signals used in monitoring and control of resistance spot welding (RSW) process. However, existing studies on the signal evolution mechanism are limited to qualitative analysis, resulting in an ambiguous interpretation of the formation mechanism for the signal features. In this paper, a collaborative simulation approach is applied for the RSW process of bare DP590 steel to obtain high precision computation of temperature and potential distributions inside the weld. On this basis, an analytical mapping model between the dynamic resistance signal and the weld profile is developed based on basic physical laws, and the signal evolution mechanism is quantitatively revealed through the model. It is found that the main factors determining the signal evolution trend are average sheet temperature and dynamic indentation diameter, rather than the nugget growth process. The peak resistance feature is attributed to the bilinear relationship between sheet resistivity and temperature rather than the nugget formation, and the resistance drop after the peak is mainly arising from the increase of the dynamic indentation diameter rather than the nugget growth. This study can help to improve the overall comprehension of the dynamic resistance signal, and the interpretability of some data-driven methods used for RSW quality monitoring and control. |
Proceedings Inclusion? |
Undecided |