文献类型：期刊文献

英文题名：Prediction of residual stress in the process of turning high strength alloy steel by innovative coated carbide microgroove tools

作者：Jiang, Hongwan He, Lin Ren, Zhongwei Shao, Fang Yuan, Sen

第一作者：Jiang, Hongwan

通信作者：Jiang, HW[1]

机构：[1]Guizhou Inst Technol, Sch Mech Engn, Guiyang, Peoples R China;[2]Liupanshui Normal Coll, Liupanshui, Peoples R China

第一机构：贵州理工学院机械工程学院

通信机构：corresponding author), Guizhou Inst Technol, Sch Mech Engn, Guiyang, Peoples R China.|贵州理工学院机械工程学院;贵州理工学院;

年份：2020

卷号：106

期号：11-12

起止页码：4693-4705

外文期刊名：INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

收录：;EI(收录号：20200408086010);Scopus(收录号：2-s2.0-85078209496);WOS:【SCI-EXPANDED(收录号:WOS:000515223600004)】；

基金：This work is financially supported by Young Scientific Technical Talents Development Fund of Guizhou Province (QJHKY Character [2018]248), National Natural Science Foundation of China (51765009), and High-level Talents Research Initiation Fund of Guizhou Institute of Technology (2018072).

语种：英文

外文关键词：Cemented carbide; Microgroove; Residual stress; Prediction; High strength alloy steel; Turning

摘要：Residual stress (RS) of machined surface is one of essential factors affecting the service performance of mechanical structures and parts. By a combination of cutting experiment, theoretical analysis, and finite element analysis, this paper focuses on the radial distribution of RS of machined surfaces of a coated carbide microgroove turning tool (CCMTT), firstly, in the turning of the high strength alloy steel. The effect of cutting parameters on the radial distribution of RS of machined surfaces produced by the CCMTT is further researched. Finally, the prediction model of RS produced by the CCMTT is established and verified. Research results show that the cutting experiments and FE simulation both have the same variation tendency of RS and are validated well each other. The microgroove on the rake face of the CCMT is beneficial to increase the thickness and the maximum value of residual compressive stress of surface material. The coefficient of multiple correlation of the forecasting model of surface residual stress (SRS) machined by the CCMTT reaches 97.4%, which illustrates that the model has relatively high reliability.