中国机械工程2009，Vol.20Issue(20)：2399-2402,4.
基于响应曲面法的微细铣削表面粗糙度预报模型与试验研究
A Prediction Model and Experimental Study of Surface Roughness in Micro-milling Based on RSM
摘要
Abstract
The influence of parameters used in micro -milling process on roughness of aluminum surface machined by a micro turn -milling NC machine developed by authors was analyzed based on RSM. The cutting parameters included cutting speed, feed per tooth, and depth of cut in the orthogonal design experiments central composite. A predictive model for surface roughness in micro-milling was established by RSM and the significances of the regression equation and regression factor coefficients were proved herein. It appears that the cutting speed has a significant effect on surface roughness and the next one is feed per tooth, the depth of cut has a little effect under the current experimental conditions. Analysis of variance was performed to evaluate the significance of regression. The fitting degree of the model is high. The parameters used in micro - milling can be selected to improve the quality of the surface based on the model of the paper.关键词
微细铣削/表面粗糙度/响应曲面法(RSM)/预测模型Key words
micro-milling/ surface roughness/ response surface methodology(RSM)/ predictive model分类
矿业与冶金引用本文复制引用
石文天,王西彬,刘玉德,刘志兵..基于响应曲面法的微细铣削表面粗糙度预报模型与试验研究[J].中国机械工程,2009,20(20):2399-2402,4.基金项目
国防预研项目(62301090102) （62301090102）
国家自然科学基金资助项目(50875026) （50875026）
