Research on Surface Roughness of Supersonic Vibration Auxiliary Side Milling for Titanium Alloy

作     者：Xuetao Wei Caixu Yue Desheng Hu Xianli Liu Yunpeng Ding Steven Y.Liang Xuetao Wei;Caixu Yue;Desheng Hu;Xianli Liu;Yunpeng Ding;Steven Y.Liang

作者机构：Key Laboratory of Advanced Manufacturing and Intelligent TechnologyMinistry of EducationHarbin 150080China Department of Precision Manufacturing EngineeringSuzhou Vocational Institute of Industrial TechnologySuzhou 215104China George W.Woodruff School of Mechanical EngineeringGeorgia Institute of TechnologyAtlanta 30332USA 

出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)

年 卷 期：2022年第35卷第5期

页      面：100-111页

核心收录：

学科分类：080503[工学-材料加工工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基　　金：National Natural Science Foundation of China(Grant No.52175393) 

主　　题：Side milling Axial vibration Ultrasonic milling Finite element simulation Linear regression Surface roughness 

摘      要：The processed surface contour shape is extracted with the finite element simulation *** difference value of contour shape change is used as the parameters of balancing surface roughness to construct finite element model of supersonic vibration milling in cutting stability *** surface roughness trial scheme is designed in the orthogonal test design method to analyze the surface roughness test result in the response surface *** surface roughness prediction model is established and ***,the surface roughness finite element simulation prediction model is verified by *** research results show that,compared with the experiment results,the error range of the finite element simulation model is 27.5%–30.9%,and the error range of the empirical model obtained by the response surface method is between 4.4%and 12.3%.So,the model in this paper is accurate and will provide the theoretical basis for the optimization study of the auxiliary milling process of supersonic vibration.