基于响应面法的MIG焊工艺参数优化

Optimization of MIG Welding Process Parameters Based on Response Surface Method

研究Q235钢MIG焊缝形貌并优化焊接工艺参数,基于响应面法(RSM)建立了焊接电压、焊接电流、焊接速度与余高、熔宽的数学模型。利用激光视觉传感器对焊缝形貌进行智能检测,将获取的焊缝余高和熔宽作为焊缝外观质量的表征,通过方差分析法和响应面法分析不同焊接工艺参数对余高和熔宽的影响,并对焊接工艺参数进行优化。研究结果表明:所建立的数学模型可以准确预测焊缝形貌,预测值与试验值误差不超过5%;焊接电流和焊接电压对余高的交互影响最大,熔宽、余高随着焊接电流和焊接电压的增加而增大。

The MIG weld morphology of Q235 steel was studied and the welding process parameters were optimized.Based on the response surface method(RSM), the mathematical model between welding voltage, welding current, welding speed and reinforcement, weld width was established. The weld morphology was measured intelligently by laser vision sensor. The obtained weld reinforcement and weld width were taken as the characterization values of weld appearance quality, the effects of different welding parameters on the reinforcement and weld width were analyzed by variance analysis and response surface analysis, the welding process parameters were optimized. The results show that the established mathematical model can accurately predict the weld morphology, and the error between the predicted value and the experimental value is less than 5%. The welding current and welding speed have the greatest interactive influence on the reinforcement. The weld width and reinforcement increase with the increase of welding current and welding voltage.