摘要
对于复杂零件的加工,其工步顺序直接影响加工质量和生产效率。研究了工步排序原则和典型的工艺路线,以辅助加工时间最短为优化目标,建立了加工中心中零件加工工步排序数需模型。采用遗传算法对工步顺序进行优化,并在隔代映射遗传算法基础上引入自适应策略,使IP_GA中的交叉、变异概率根据适应度大小自动调节,提高了收敛速度及解的质量。实际应用表明,该方法可有效提高工艺规划系统中工步的优化排序能力。
There are manys teps for machining complex parts on a machining center,and the operat-ing sequence directly affects machining quality and machining efficiency.The analysis of step sequencing rules and typical processes had been studied,taking minimization of machine idle times as objective func-tion,an optimization model for sequencing machining steps on the machining center had been established.Genetic algorithms are introduced into optimization of sequencing machining steps,the self-adapting plot had been draw into mapped GA,so the probability of cross and variation can automatic adjust by fit de-gree,the convergence speed and the quality of result had been increased.The result shows that this method can improve operation optimization sequencing capability of process planning system.
出处
《机械设计与制造》
北大核心
2009年第12期6-8,共3页
Machinery Design & Manufacture
关键词
复杂零件
工步顺序
工艺路线
遗传算法
Complex parts
Step sequence
Operating process
Genetic algorithms
