基于响应面法的埋弧焊磁控传感器参数优化

Optimization of magnetic-control sensor parameters of submerged arc welding based on response surface method

关键词:  埋弧焊  磁控传感器  响应面法  焊缝跟踪信号

Key words:  submerged arc welding  magnetic-control sensor  response surface method  seam-tracking signal

摘要:

为解决磁控埋弧焊传感器焊缝跟踪信号不稳定性、成形质量差等问题,采用BBD(Box-Behnken design)设计试验方案,基于响应面法建立了的埋弧焊焊缝自动跟踪磁控传感器参数(励磁频率、励磁电流、磁极高度、焊接电流)与预测响应值(焊缝跟踪信号、熔宽)的数学模型,并检验数学模型在试验点上的拟合情况,以能够根据跟踪信号质量和焊缝成形的要求优选传感器参数. 并通过优化传感器参数来预测埋弧焊焊缝跟踪信号质量以及焊缝的熔宽,实现跟踪信号与焊缝成形的最佳组合,以提高磁控埋弧焊的焊缝跟踪精度及焊接质量.

Abstract:

To solve the problems of the instability seam-tracking signal and poor welding formability of the magnetic-control sensor in submerged arc welding, a Box-Behnken design (BBD) test method was proposed. The mathematical models of automatic submerged arc welding seam-tracking of magnetic-control sensor parameters such as excitation frequency, excitation current, magnetic pole height were built and response seam-tracking and weld width values were built based on the response surface method. By examining the fitting situation of the mathematical model on the test points, the sensor parameters were optimized according to the requirement of the quality of the seam-tracking signal and weld forming. Through the optimization of the sensor parameters, the quality of the seam-tracking signal and weld fusion width were predicted in submerged arc welding. The best combination between the seam-tracking signal and weld forming was realized, so as to the seam-tracking precision of the magnetic-control submerged arc welding and the welding quality were improved.