基于响应曲面法的高速铣削Ti6Al4V表面粗糙度的预测模型与优化

Application of response surface methodology in surface roughness prediction model and parameter optimization for high-speed milling Ti6Al4V

提出了一种铣削难加工材料钛合金Ti6Al4V表面粗糙度的建模方法。采用BBD响应曲面法,建立了用于表面粗糙度预测的多元回归模型,运用方差分析检验了该预测模型的拟合度,利用响应曲面法对表面粗糙度建立等值响应曲面,从而可以通过切削参数的优化在保证加工质量的前提下获得更高的材料去除率,实现难加工材料钛合金高效切削。

This paper presented a study of the development of a surface roughness model for high-speed milling of Ti6Al4V. The model was developed in terms of cutting speed,axial depth of cut,depth of cut and feed per tooth. The multiple regression model predicting formula for surface roughness was established by means of Box-Behnken design of experiment,and variance analysis were applied to check the fitting degree of the predictive model. Then the response surface methodology was used to generate response contours of surface roughness. The experimental results indicate that the material removal rate can be improved by selecting optimal cutting parameters without increasing the surface roughness.