基于Marc和遗传算法的焊接工艺参数优化

焊接变形的大小主要受焊接速度、焊接电流、电压、送丝速度、焊接顺序等工艺参数的影响.根据焊接热加工特点和实际需要,针对设计变量数目繁多、类型多样的焊接工艺,采用遗传算法与有限元分析相结合的方式,对重点参数进行了优化.以二维平板对接焊的模型为例,以工件最小焊接变形量为优化目标,经过遗传算法进化后,结合有限元方法进行每组参数组合的焊接过程热力耦合分析,找出焊接能量和焊接速度的最优组合,为焊接工艺的优化和制定提供科学的评价和预测.

Welding parameter optimization based on Marc and genetic algorithm

The quality of welding is mainly affected by welding speed, welding voltage, current and filling speed of weld solder. The traditional methods can not apply to the welding parameter optimiza- tion in view of variety of the design variables and the diversity of the process parameter types. In this paper, a new method is introduced to optimize the key parameters during the welding process accord- ing to the welding characteristics and actual needs. FEA and genetic algorithm are combined to achieve this destination and an optimization example with two-dimension model is demonstrated.