基于响应曲面法的表面粗糙度预测模型研究  

Predictive Modeling of Surface Roughness Based on Taguchi Design and Response Surface Methodology

作　　者：亓剑[1] 阎兵[1] 

机构地区：[1]天津职业技术师范大学机械工程学院,天津300222

出　　处：《机械设计与制造工程》2014年第1期73-76,共4页Machine Design and Manufacturing Engineering

摘　　要：通过正交试验,研究了高速端铣加工中切削参数对表面粗糙度的影响。采用田口设计方法和响应曲面法构建了表面粗糙度预测模型,分析了主轴转速、进给量、切深对表面粗糙度的影响。结果显示,进给量对表面粗糙度的影响最显著,主轴转速次之,切深的影响不大。模型预测精度为99.84%,达到了较高的预测水平。It presents the effect of process of parameter in high speed face milling operation to predict surface roughness .It establishes the mathematical model to predict surface roughness in terms of machining parameters such as spindle speed , feed rate , and cutting depth .The results show that feed rate is major factor influencing the surface roughness followed by spindle speed and cutting depth , and verifies the mathematical model with con-firmatory test and is useful for the prediction of surface roughness .

关 键 词：高速加工 端铣 表面粗糙度 响应曲面法 试验设计 田口设计 

分 类 号：TH161.14[机械工程—机械制造及自动化]