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 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:2018-01-01
发表刊物:ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018
卷号:4
关键字:Ball-end mill; Micro-milling; Surface roughness; Curved surface; Inconel 718
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.