中国机械工程2011，Vol.22Issue(22)：2654-2657,2771,5.
基于标准粒子群算法的GH4169高速铣削表面粗糙度研究
Research on Surface Roughness Based on SPSO in High Speed Milling of GH4169
摘要
Abstract
Using single factor and orthogonal experiment,the effects of the carbide tool cutting parameters on superalloy GH4169 surface roughness were stuided under the high speed conditions. The research results indicate that feed rate have obvious influence on surface roughness, followed by cutting speed and cutting depth;An experience formula between the surface roughness and cutting parameters was built by SPSO and the confirmation tests were carried out to make a comparison between the experimental results and ones predicted by experience formula. The comparison results show that the experience formula established based on SPSO can predict the surface roughness of superalloy GH4169 in high-speed milling processes effectively. It also can provide the references for optimizing the milling parameters and the control of surface quality.关键词
高温合金/高速铣削/表面粗糙度/标准粒子群算法Key words
superalloy/high speed milling/surface roughness/standard particle swarm optimization（SPSO）分类
机械制造引用本文复制引用
刘维伟,李锋,任军学,尉渊..基于标准粒子群算法的GH4169高速铣削表面粗糙度研究[J].中国机械工程,2011,22(22):2654-2657,2771,5.基金项目
国家自然科学基金资助项目（50975237,51005184) （）
