基于遗传算法的金属切削过程中最优切削用量方法研究  

Research on optimal cutting parameters in metal cutting process based on genetic algorithm

作　　者：冯国勇[1] FENG Guo-yong(Lanzhou Resources&Environment Voc-Tech College,Lanzhou 730021,China)

机构地区：[1]兰州资源环境职业技术学院,甘肃兰州730021

出　　处：《世界有色金属》2018年第19期283-284,共2页World Nonferrous Metals

摘　　要：随着国家金属行业快速发展,对金属质量提出了新的要求,特别是切削用量方式。构建基于遗传算法的金属切削用量优化系统框架结构,并与传统切削用量方法进行比较,实验结果表明基于遗传算法的最优切削用量准确度更高。With the rapid development of the national metal industry,new requirements for metal quality are put forward,especially the cutting parameters.The framework of the optimization system of metal cutting parameters based on genetic algorithm is constructed and compared with the traditional cutting parameters method.The experimental results show that the accuracy of the optimal cutting parameters based on genetic algorithm is higher.

关 键 词：遗传算法 金属切削过程 最优 切削用量方法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]