Multi-objective optimization for milling operations using genetic algorithms under various constraints

被引：2

作者：

An L. ^{[1
,5
]}

Yang P. ^{[2
]}

Zhang H. ^{[3
]}

Chen M. ^{[4
,6
]}

机构：

[1] College of Mechanical Engineering, Hebei Provincial Key Laboratory of Inorganic Nonmetallic Materials, Hebei United University, 46 Xinhua West Road, Tangshan, 063009, Hebei

[2] Fushun Mechanical Equipment Manufacturing Co., Ltd., 50 Middle Section of Xincheng Road, Shuncheng District, Fushun, 113006, Liaoning

[3] College of Life Sciences, Hebei United University, 57 Jianshe South Street, Tangshan, 063000, Hebei

[4] Department of Mechanical and Industrial Engineering, Concordia University, 1455 de Maisonneuve Blvd. W, Montreal, H3G 1M8, QC

[5] 46 Xinhua West Road, Tangshan, 063009, Hebei

[6] 1455 de Maisonneuve Blvd. W, Montreal, H3G 1M8, QC

来源：

International Journal of Networked and Distributed Computing | 2014年 / 2卷 / 2期

基金：

中国国家自然科学基金;

关键词：

Face-milling operation; Genetic algorithms; Machining parameter; Multi-objective optimization;

D O I：

10.2991/ijndc.2014.2.2.5

中图分类号：

学科分类号：

摘要：

In this paper, the parameter optimization problem for face-milling operations is studied. A multi-objective mathematical model is developed with the purpose to minimize the unit production cost and total machining time while maximize the profit rate. The unwanted material is removed by one finishing pass and at least one roughing passes depending on the total depth of cut. Maximum and minimum allowable cutting speeds, feed rates and depths of cut, as well as tool life, surface roughness, cutting force and cutting power consumption are constraints of the model. Optimal values of objective function and corresponding machining parameters are found by Genetic Algorithms. An example is presented to illustrate the model and solution method. © 2014, Atlantis Press. All rights reserved.

引用

页码：108 / 114

页数：6

共 12 条

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