Gravitational Search Algorithm - based Optimization of process parameters in Micro turning process

被引:0
作者
Durairaj, M. [1 ]
Gowri, S. [2 ]
机构
[1] Tagore Engn Coll, Dept Mech Engn, Madras 127, Tamil Nadu, India
[2] Anna Univ, EMMRC, Chennai 600025, Tamil Nadu, India
来源
DYNAMICS OF MACHINES AND MECHANISMS, INDUSTRIAL RESEARCH | 2014年 / 592-594卷
关键词
Micro turning; Gravitational Search Algorithm; optimisation; surface roughness; flank wear; GENETIC ALGORITHM;
D O I
10.4028/www.scientific.net/AMM.592-594.391
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Micro turning is a scaled down version of conventional turning process, but operating on the micro scale of machining parameters to produce micro components. This paper deals with CNC Micro turning of Inconel 600 alloy with titanium carbide coated tool. Two conflicting objectives, surface roughness and tool flank wear, are simultaneously optimized. Full factorial experiments were taken with several combinations of cutting speed, feed and depth of cut. In this report, a new optimization algorithm based on the law of gravitation and mass interactions, namely Gravitational Search Algorithm (GSA) is aimed to predict the optimal parameter conditions for controlling tool flank wear and better surface finish.
引用
收藏
页码:391 / +
页数:2
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