个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:机械工程学院
学科:机械电子工程. 精密仪器及机械
办公地点:机械知方楼7029
联系方式:lxhdlut@dlut.edu.cn
电子邮箱:lxhdlut@dlut.edu.cn
The effect of cutting parameters on micro-hardness and the prediction of Vickers hardness based on a response surface methodology for micro-milling Inconel 718
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论文类型:期刊论文
发表时间:2019-07-01
发表刊物:MEASUREMENT
收录刊物:SCIE、EI
卷号:140
页面范围:56-62
ISSN号:0263-2241
关键字:Micro-milling; Inconel 718; Micro-hardness; Vickers hardness; Prediction; Response surface methodology
摘要:The poor characteristics of Inconel 718, such as large plasticity, low thermal conductivity, and sensitivity to the strain rate, lead to serious problems in its micro-milling, particularly its work hardening, which lowers the fatigue and the corrosion resistance of micro parts and accelerate tool wear. Therefore, the studies pertaining to work hardening caused by micro-milling of Inconel 718 are needed. This paper studies the influence of cutting parameters, including the spindle speed, the feed rate per tooth, and the axial cutting depth, on surface Vickers hardness and predicts the Vickers hardness of the machined surface on Inconel 718. The authors adopt response surface methodology to build the Vickers hardness prediction model and rank the parameters based on their influences on surface Vickers hardness of micro-milled Inconel 718. According to our analyses, the spindle speed has the most influence on Vickers hardness, the axial cutting depth has an intermediate influence, and the feed rate per tooth has the least influence. A significant interactive influence between the spindle speed and the feed rate per tooth exists. The study could support the appropriate selection of cutting parameters in improving the characteristics of surface work hardening thereby the quality of the final product. (C) 2019 Elsevier Ltd. All rights reserved.