基于响应曲面法的表面粗糙度预测模型研究  

Study on Surface Roughness Forecasting 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,710072

出　　处：《精密制造与自动化》2006年第2期37-40,共4页Precise Manufacturing & Automation

摘　　要：分析以往建立表面粗糙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,为切削参数的优先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 forecasting model, Response Surface Methodology (RSM) was adopted to build a forecasting model of surface roughness for milling steel and steel alloy. By verification of the built forecasting model of surface roughness, the forecasting accuracy is high and the model can simply forecast the effects of milling parameters on surface roughness of machined surface, which contributes to accurately understand the variation law of machined surface quality following milling parameters and provides the foundation for properly selecting the 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：TG54[金属学及工艺—金属切削加工及机床]