Electrode Displacement Patterns Inferred as the Optimal Control Criteria during the Resistance Spot Welding Process

摘要：

Currently real-time control and online quality estimation of the resistance spot welding (RSW) has benefited a lot from monitoring the electrode displacement of nugget thermal expansion. Based on these emerging monitoring techniques a new approach is proposed to determine the optimal control parameters and help to assess the weld quality. A causal model is built with the offline trained Bayesian Belief Networks (BBN) as a pattern determination net which deals with the optimal pattern of the electrode displacement, I.e. The ideal parameter combination between the maximum electrode displacement and its expansion velocity, to provide more reliable welding process and qualified welds. The experimental results show that the proposed approach is valid and feasible to determine the controlled parameters for welding robots.

关键词： Robot welder control pattern optimization Bayesian Belief Network electrode displacement of nugget thermal expansion welding expulsion

作者: Liang Gong Cheng-liang Liu

作者单位: State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering,Shanghai Jiao Tong University, Shanghai, 200240, China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

会议地点: 上海

会议语种:英文

页码: 148-152

在线出版日期: 2011-05-09（万方平台首次上网日期，不代表论文的发表时间）