机械科学与技术2024，Vol.43Issue(4)：643-649,7.DOI:10.13433/j.cnki.1003-8728.20240046
运用响应面法的Ti-6Al-4V ELI钛合金铣削表面粗糙度预测模型
Prediction Model for Surface Roughness in Milling of Ti-6Al-4V ELI Titanium Alloy Using Response Surface Methodology
摘要
Abstract
In this paper,Ti-6Al-4V ELI(TC4)titanium alloy is machined by end face milling,and the surface quality of the workpiece is predicted and the best cutting parameter is determined by combining the processing parameters.In order to realize the accurate prediction of workpiece surface quality,the corresponding experiments were carried out in three-axis CNC machining center.Based on Box Behnken method(BBD),the experiment was designed with four factors and three levels to reduce the number of experiments.In the experiment,the cutting depth,cutting width,cutting speed and feed per tooth are selected as the input parameters,and the surface roughness measured in each experiment is taken as the output parameters.Finally,the Response Surface Methodology(RSM)is used to establish the quadratic relationship between the input and the output parameters,and the analysis of variance(ANOVA)is conducted to evaluate the established model.At the same time,RSM is used to optimize the analysis and determine the milling parameters to achieve the minimum surface roughness.The analysis shows that the quadratic regression model for milling parameters and surface roughness is established via RSM,and its correction coefficient reaches 96.16%.The model can well reflect the mapping relationship between the input parameters and the surface roughness,and this method can provide the reliable surface roughness prediction for any cutting conditions within the input parameters.Through optimization analysis and experimental verification,the obtained milling parameters can obtain the smaller surface roughness,which can be applied to optimize the process in practice.关键词
响应面法/二次回归模型/表面粗糙度/方差分析Key words
response surface methodology/quadratic regression model/surface roughness/Analysis of variance分类
机械制造引用本文复制引用
孙庆贞,魏学涛,张涛,张磊,魏旭东..运用响应面法的Ti-6Al-4V ELI钛合金铣削表面粗糙度预测模型[J].机械科学与技术,2024,43(4):643-649,7.基金项目
国家重点研发计划项目(2022YFB4300704) （2022YFB4300704）
