孙晶

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教授

硕士生导师

主要任职:伯川书院执行院长

其他任职:机械工程国家级实验教学示范中心主任

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:机械制造及其自动化

办公地点:大连理工大学知方楼7009房间

联系方式:13516059116

电子邮箱:sunjing@dlut.edu.cn

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The influence factors and prediction of curve surface roughness in micro-milling nickelbased superalloy

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论文类型:会议论文

发表时间:2018-06-18

卷号:4

摘要:Micro structure/parts during their useful life are significantly influenced by surface roughness quality. Machining of curve shapes is a necessity in micro-milling process. However, surface roughness in micro-milling curved surfaces is more complex, and few studies on the influence factors and prediction of the micro-milled curve surface roughness in micro-milling nickel-based superalloy have been done. The purpose of this paper is to study the effects of spindle speed, the radius of ball-end mill, axial cutting depth, and feed per tooth on the curved surface roughness in micro-milling Inconel 718 process based on single factor and orthogonal experiments. Utilizing the least square method, we build a surface roughness prediction model of micro-milled Inconel 718. Finally, experiments are conducted to verify the accuracy of the developed prediction model. The results indicate that the maximum relative error is 10.68%, and the mean relative error is 8.04%, which prove that the prediction model is correct. The work can provide a reference for selection of cutting parameters in micro-milling Inconel 718. © Copyright 2018 ASME.