Multi-objective Optimization of Cutting Parameters in Multi-pass Turning Using Genetic Algorithm and Pattern Search

摘要：

Optimization of cutting parameters is very important issues in modern manufacturing engineering. This paper proposes a new technique based on the combination of real-coded genetic algorithm (RGA) and pattern search for solving multi-pass turning optimization problems. The machining parameters are determined by multi-objective optimization of maximum production rate and minimum production cost criterion, subject to various practical machining constraints. Experimental results show that the proposed procedure is both effective and efficient, and can be integrated into an intelligent manufacturing system for solving complex machining optimization problems.

关键词： Optimization Multi-pass turning Real-coded genetic algorithm Pattern search Multi-objective

作者: Cui Bodi

作者单位: Department of Mechanical Engineering Huaihai Institute of Technology Lianyungang 222005, Jiangsu Province, P.R. China

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 563-566

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）