Optimization of Machining Parameters for Milling Operations Using Non-conventional Methods

被引：0
|
作者：
N. Baskar
P. Asokan
G. Prabhaharan
R. Saravanan
机构：
[1] Shanmugha Arts,School of Mechanical Engineering
[2] Science,Department of Production Engineering
[3] Technology & Research Academy,Department of Mechanical Engineering
[4] (SASTRA,undefined
[5] Deemed University) Thanjavur,undefined
[6] Regional Engineering College,undefined
[7] J.J. College of Engineering & Technology,undefined
来源：
The International Journal of Advanced Manufacturing Technology | 2005年 / 25卷
关键词：
Ant colony algorithm; Genetic algorithm; Optimization; Multi-tool milling; Particle swarm optimization algorithm; Tabu search algorithm;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, optimization procedures based on the genetic algorithm, tabu search, ant colony algorithm and particle swarm optimization Algorithm were developed for the optimization of machining parameters for milling operation. This paper describes development and utilization of an optimization system, which determines optimum machining parameters for milling operations. An objective function based on maximum profit in milling operation has been used. An example has been presented at the end of the paper to give a clear picture from the application of the system and its efficiency. The results are compared and analysed using the method of feasible directions and handbook recommendations.
引用
收藏
页码：1078 / 1088
页数：10
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