Methods of Optimization of Milling Parameters Based on Genetic Algorithm

摘要：

In this paper,the genetic algorithm is used to optimize the milling parameters in the milling process so that the tool life can be enhanced and processing costs can be reduced.LABVIEW is used as software development platform to program,monitor the tool wear and determine the tool life. Through the method of orthogonal experiment to design experiment and then the measured data is dealt with by MATLAB,and a mathematical formula is established between milling parameters and tool life.Using mathematical formula and production cost process as a mathematical model. At last,dealing with the mathematical model through the application of genetiC algorithms,the most optimized milling parameters is obtained.Experiment proves the practicality of the genetic algorithm in the optimization of milling parameters.

关键词： LABVIEW orthogonal ezperiment genetic algorithm

作者: Chengqiang Zhang Jie Chen

作者单位: School of Mechanical and Power Engineering,Nanjing University of Technology Nanjing 210009,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 382-385

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）