基于改进遗传算法的拉锻式塞补焊工艺参数寻优  

Optimization of Processing Parameters of Friction Plug Welding Based on Improved Genetic Algorithm

作　　者：付婷婷 FU Tingting(Shanghai Top Numerical Control Technology Co.,Ltd.,Shanghai 201111,China)

机构地区：[1]上海拓璞数控科技有限公司,上海201111

出　　处：《机械制造与自动化》2018年第2期68-72,共5页Machine Building & Automation

基　　金：国家重大科技专项(2013ZX04001101)

摘　　要：由于焊接工艺参数对拉锻式塞补焊的焊接质量有显著影响,所以对实数遗传算法进行了改进,并使用改进遗传算法对塞补焊工艺参数进行Matlab编程寻优。通过对2219-T6铝合金进行寻优结果的塞补焊试验,通过试验验证了改进遗传算法可以提高焊接质量。Because welding processing parameters have significant influence on the welding quality,this paper improves the genetic algorithm and uses the improved genetic algorithm to optimize FPW processing parameters in MATLAB.Through the use of the plug repair welding in repair welding of 2219-T6 aluminum alloy,it is proved that the improved genetic algorithm can be used to improve its welding quality.

关 键 词：摩擦塞补焊 铝合金 改进遗传算法 参数寻优 

分 类 号：TG4539[金属学及工艺—焊接]