基于响应曲面法的表面粗糙度预测模型研究  

A Study on Surface Roughness Prediction Model Based on Response Surface Methodology

作　　者：刘牧[1] 杨茂奎[1] 

机构地区：[1]西北工业大学机电学院,西安710072

出　　处：《机床与液压》2006年第7期87-90,共4页Machine Tool & Hydraulics

摘　　要：分析以往建立表面粗糙度预测模型方法的不足,采用响应曲面法(RSM)建立了钢及其合金铣削加工表面粗糙度预测模型。经检验,该模型预测精度高,泛化能力强,且可简便预测铣削参数对已加工表面的表面粗糙度的影响,有助于准确认识已加工表面质量随铣削参数的变化规律,为切削参数的优选和表面质量的控制提供了依据。Based on analyzing the shortcomings of the past methods of building a surface roughness prediction model, response surface methodology （RSM） was adopted to build a prediction model of surface roughness for milling steel and steel alloy. Through the verification of the built prediction model of surface roughness, result shows that the prediction accuracy and generalization of the model are very high and the model can conveniently predict the effects of milling parameters on surface roughness of machined surface, which contributes to accurately understand the variation law of quality of machined surface following milling parameters and provides the foundation for properly selecting cutting parameters and controlling surface quality.

关 键 词：响应曲面法(RSM) 表面粗糙度 预测 铣削 

分 类 号：TG84[金属学及工艺—公差测量技术]