Methods of optimization of milling parameters based on genetic algorithm

Chengqiang Zhang, Jie Chen

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

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.

源语言英语
主期刊名ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments
1382-1385
页数4
DOI
出版状态已出版 - 2009
活动9th International Conference on Electronic Measurement and Instruments, ICEMI 2009 - Beijing, 中国
期限: 16 8月 200919 8月 2009

出版系列

姓名ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments

会议

会议9th International Conference on Electronic Measurement and Instruments, ICEMI 2009
国家/地区中国
Beijing
时期16/08/0919/08/09

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