基于试验设计与统计分析的双相钢激光焊工艺优化
Research on process parameters optimization of laser welding for dual phase steel DP600
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摘要: 为了优化激光焊接接头力学性能，利用试验设计方法对厚度为1.7 mm的DP600双相钢进行对接焊接试验，采用回归分析得到了激光焊接功率、焊接速度、离焦量、侧吹保护气体流量与接头抗拉强度之间的数学模型. 分析了焊接速度与侧吹气流量对焊缝抗拉强度的交互影响作用. 通过遗传算法优化该模型并得到了最优的焊接工艺参数组合，当焊接功率为1.7 kW，焊接速度为25 mm/s，侧吹气流量为2.4 m3/h，离焦量为-1 mm时焊缝的抗拉强度最大. 验证试验所测的焊缝抗拉强度值与模型预测值的相对误差在5%以内. 结果表明,文中研究可以有效的预测与优化厚度为1.7 mm的双相钢激光焊接质量.Abstract: Experimental design was employed for 1.7 mm DP600 dual phase steel in order to optimize the laser welded joint mechanical property. The laser power, welding speed, focal point position and side-blowing shield gas flow were chosen as the process parameters and the mathematical model between the tensile strength of joint and the four process parameters were obtained by using regression analysis. The interaction effects of the welding speed and side-blowing shield gas on welding quality were explored. The optimal combination of welding process parameters was achieved using genetic algorithm and the largest tensile strength of welding joint was obtained as the welding power was 1.7 kW, welding speed was 25 mm/s, side-blowing shield gas flow was 2.4 m3/h, focal point position was -1 mm. The results of validation experiments showed that the model generally had a good effect and high precision, and its average relative error was within 5%, this study can effectively forecast and optimize the laser welding quality for the dual phase steel with the thickness of 1.7 mm.
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