Cutting Parameter Optimization Based on particle swarm optimization

摘要：

In metal cutting process,in order to improve the quality of product and raise the efficiency of equipment,new optimizations of cutting parameters method were put forward. Using three targets control parameters,machining time, machining accuracy and machining cost, multiple targets nonlinear programming model was established. The multiple targets nonlinear constraint program problem was transformed to single target nonlinear no constraint program problem. Based on the model,the optimal cutting parameters are generated with particle swarm optimization (PSO). An example shows that the optimal cutting parameters are easier to satisfy the optimizing object than the empirical ones, and PSO is applicable for solving complicated nonlinear problem. It provided a scientific method for the reasonable choice of cutting quantity.

关键词： Particle swarm optimizer Cutting parameter Optimization math model

作者: Junmei Xi Gaohua Liao

作者单位: Nanchang Institute of Technology Nanchang, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 255-258

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）