SOM-based Quality Assessment for Resistance Spot Welding with Featured Electrode Displacement Signals
To classify the quality of the resistance spot welding process,the relationship between the welder electrode displacement curve characteristics and the weld shear force has been explored where 11 statistical features of the displacement signals are extracted to represent the welding quality.SOM(Self-Organizing Mapping)neural networks have been employed to discover their quantitative relationship.In order to identify the influences of various displacement curve features,all of the available combinations have been used as inputs for SOM neural networks,respectively.Further combined analyze the impact of each feature on the classification results,yielding the best quality-indicative combination of characteristics.We find there is no determinant relationship between the welding quality and the level of expulsion rate.The maximum electrode displacement,the span of welding process and the centroid of the electrode displacement curve are most impact the quality of welding.The experiments show that SOM is feasible to assess the welding quality and render visualized intuitive evaluation results.
Resistance spot welding SOM quality assessment electrode displacement
Wang Shuanyuan Gong Liang Liu Chengliang
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China
国际会议
上海
英文
251-251
2012-10-19（万方平台首次上网日期，不代表论文的发表时间）