Optimisation of ECM parameters using RSM and non-dominated sorting genetic algorithm (NSGA II)

被引：1

作者：

Senthilkumar, C. ^{[1
]}

Ganesan, G. ^{[1
]}

Karthikeyan, R. ^{[2
]}

机构：

[1] Department of Manufacturing Engineering, Annamalai University, Annamalai Nagar - 608 002, Tamilnadu

[2] BITS Pilani, Dubai Campus, Dubai International Academic City, Dubai

来源：

International Journal of Machining and Machinability of Materials | 2013年 / 14卷 / 01期

关键词：

applied voltage; composite materials; ECM parameters; electrochemical machining; electrolyte concentration; electrolyte flow rate; metal matrix composites; metal removal rate; MMC; MRR; non-dominated sorting genetic algorithms; NSGA II; response surface methodology; RSM; surface quality; surface roughness; tool feed rate;

D O I：

10.1504/IJMMM.2013.055130

中图分类号：

学科分类号：

摘要：

Metal matrix composites (MMC) are hard to machine due to the presence of hard and brittle ceramic reinforcements. Electro chemical machining (ECM) is an important process for machining such materials. Being a complex process, it is very difficult to determine optimal parameters for improving cutting performance. The objective of this research is to study the effect of electrolyte flow rate, applied voltage, electrolyte concentration, and tool feed rate on metal removal rate (MRR) and surface roughness (Ra). In the present work, response surface methodology (RSM) and a multi-objective optimisation method based on a non-dominated sorting genetic algorithm (NSGA-II) is used to optimise ECM process. A non-dominated solution set has been obtained and reported. Copyright © 2013 Inderscience Enterprises Ltd.

引用

页码：77 / 90

页数：13

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