45~#调质钢数控车削工艺参数优化研究  

Study of parameters Optimization for NC Turning 45~# Quenched and Tempered Steel

作　　者：闫存富[1] 刘超[1] 刘军[2] 

机构地区：[1]黄河科技学院机械工程学院,郑州455063 [2]郑州科技学院机械工程学院,郑州450000

出　　处：《组合机床与自动化加工技术》2018年第2期128-130,135,共4页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：2015年河南省重点科技攻关项目资助(152102210170);郑州市科技攻关项目(20140754);2016年河南省民办教育品牌专业建设项目(ZLG201601)

摘　　要：基于正交试验法,探讨进给速度、背吃刀量及主轴转速对加工表面粗糙度的影响,运用最小二乘法建立了以表面粗糙度为响应的多元回归数学模型,对模型进行显著性分析,并通过试验进行验证。研究结果表明:硬质合金刀具车削45#调质钢时,主轴转速对加工表面粗糙度影响最大,其次是进给量,背吃刀量对加工表面粗糙度的影响较小;试验验证结果表明预测模型能够高精度地对表面粗糙度进行预测,平均误差不超过9.173%,能对车削加工的表面粗糙度进行有效预测。An orthogonal experiment of 45^#Quenched and Tempered Steel turning is conducted to investigate the influences of three factors as cutting speed,feed rate,depth of cut on surface roughness. The multiple regression model of surface roughness is established by least squares method. The significance of the regression model is analyzed and verified. The results showthat the cutting speed has the greatest influence on the machined surface roughness,the second is cutting depth and the feed rate has minimal impact on cutting surface roughness. The experimental results showthat the prediction model can predict the surface roughness with high precision in the range of cutting parameters used in the experiments,and the average error is less than 9. 173%,which can effectively predict the surface roughness of turning.

关 键 词：数控车削 正交试验 表面粗糙度 线性回归 预测模型 

分 类 号：TH161[机械工程—机械制造及自动化] TG506[金属学及工艺—金属切削加工及机床]