Multi-objective optimization of milling process for thin-walled parts

被引:0
|
作者
Yang, Jiahao [1 ]
Lv, Jingxiang [1 ]
Zhang, Yingfeng [1 ]
机构
[1] Northwestern Polytech Univ, Sch Mech Engn, Xian, Shaanxi, Peoples R China
关键词
milling; CNC machine; energy; roughness; optimize; Pareto analysis;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we recorded the main input parameters of a computer numerical control (CNC) machine during the milling process of the thin-walled parts, including: spindle speed, feed speed, axial depth of cut, radial cutting repetition rate and tool diameter, while collected the output data: the energy consumption, time, dimension accuracy and surface roughness by the devices including current sensors, voltage sensors, etc. After that, further analysis regarding the optimization objective of simultaneously minimum surface roughness, energy consumption and machining time was carried out using Pareto analysis and Weighted Signal-to-Noise Ratio.
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页数:4
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