Parameter Optimization of Milling Ti6Al4V using GA approach

摘要：

The research was carried out on the parameter optimization of milling titanium alloy in this paper．The cutting models including cutting force， toollife and machined surface roughness are obtained by orthogonal array experiments．The maximum metal removal rate．MRR is selected as objective function．The constraints related to machine tool，workpiece．cutting tool and other machining situations ale presented in details．Genetic algorithm iS used to search for the optimum milling parameters for the maximum metal removal rate of titanium alloy．The optimization results show the optimization system call improve the productivity of milling Ti6A14V obviously．

关键词： Ti6Al4V End milling Parameter optimization Genetic algorithm

作者: F.Xu J.J.Zhu X.Wu X.J.Zang D.W.Zuo

作者单位: Nanjing Research Institute of Electronics Technology,Nanjing 210013,China College of Mechanical and Nanjing Research Institute of Electronics Technology,Nanjing 210013,China College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,

会议类型: 国际会议

会议名称: The 3rd Conference of Cross-Strait Engineering Education and Ceeusro & 1st International Conference on Engineering Technologies and Ceeusro(ICETC2009)(第三届工程技术与产学研研讨会暨第一届国际功能制造技术学术会议)

会议地点: 常州

会议语种:英文

页码: 1-4

在线出版日期: 2009-11-19（万方平台首次上网日期，不代表论文的发表时间）