一种基于遗传算法的铣削参数优化的方法研究  

Optimization Methods of Milling Parameters Based on Genetic Algorithm

作　　者：张成强[1] 陈捷[1] 马旭[2] 

机构地区：[1]南京工业大学工业装备数字制造及控制技术重点实验室,江苏南京210009 [2]南京工业大学金工实习中心,江苏南京210009

出　　处：《机床与液压》2010年第7期39-41,共3页Machine Tool & Hydraulics

基　　金：江苏省自然科学基金(BK2008374)

摘　　要：为提高刀具寿命,降低加工成本,需对铣削加工过程中的参数进行优化。采用电机电流监测法监测刀具磨损,采用正交实验方法设计实验,并运用MATLAB对测得的数据进行处理,建立铣削参数与刀具耐用度之间的函数关系式,以此函数关系式和工序生产成本作为数学模型。最后应用遗传算法对数学模型进行优化处理,得出最优的铣削参数。To improve tool life and reduce processing cost, the parameters in the milling process should be optimized. The method of motor current monitoring was used to monitor the wear condition of tool. The experiments were designed using orthogonal experiment method. The measured data were dealt with by MATLAB. A mathematical formula was established between milling parameters and tool life. The mathematical formula and production cost were taken as a mathematical model. The mathematical model was optimized through genetic algorithms to obtain the most optimized milling parameters.

关 键 词：遗传算法 优化 正交实验 

分 类 号：TG501.2[金属学及工艺—金属切削加工及机床]