摘要
介绍了一种利用回归分析法来建立单点金刚石刀具超精车削表面粗糙度预测模型的新方法 ,并通过建立的粗糙度预测模型 ,研究了铝合金超精密车削过程中切削速度、进给量和切削深度等参数对表面粗糙度的影响。通过实验分析表明 :二次预测方程比一次预测方程更有效 ,而且适用范围比一次模型大。利用优化设计中的约束变尺度法对所建立的表面粗糙度预测方程进行了优化 ,可以实现对切削参数的优选 ,从而达到加工前在特定的条件下预测和控制表面粗糙度的目的。
A new way to establish surface roughness model of ultraprecision machined surface with a single point diamond tool by regression analysis method is presented. The model was also used to study the effects of the main variables such as cutting speed,feed,and depth of cut on surface roughness in ultraprecision turning aluminium alloy. The results reveal that the second order eguation is more adequate than the first order surface roughness prediction eguation and has a large range in use .Utilizing constrainted variable metric method,we can select the optimum cutting conditions during process planning can be selected in order to predict and control the surface quality for any conditions within the boundaries of this research.
出处
《高技术通讯》
EI
CAS
CSCD
2000年第3期77-82,共6页
Chinese High Technology Letters
基金
国家自然科学基金资助项目
关键词
表面粗糙度
回归分析
预测
超精密车削
Surface roughness, Regression analysis, Prediction model
