Optimization of ECM Process Parameters Using NSGA-II

Chinnamuthu Senthilkumar, Gowrishankar Ganesan, Ramanujam Karthikeyan

Department of Manufacturing Engineering, Annamalai University, Annamalai Nagar, Tamilnadu, India.
Department of Mechanical Engineering, Birla Institute of Technology and Science, Pilani, Dubai.

DOI: 10.4236/jmmce.2012.1110091                

Abstract

Electrochemical machining (ECM) could be used as one of the best non-traditional machining technique for machining electrically conducting, tough and difficult to machine material with appropriate machining parameters combination. This paper attempts to establish a comprehensive mathematical model for correlating the interactive and higher-order influences of various machining parameters on the predominant machining criteria, i.e. metal removal rate and surface roughness through response surface methodology (RSM). The adequacy of the developed mathematical models has also been tested by the analysis of variance (ANOVA) test. The process parameters are optimized through Nondominated Sorting Genetic Algorithm-II (NSGA-II) approach to maximize metal removal rate and minimize surface roughness. A non-dominated solution set has been obtained and reported.

Keywords

Electro Chemical Machining; Metal Removal Rate; Response Surface Methodology; Surface Roughness; NSGA-II

Conflicts of Interest

The authors declare no conflicts of interest.

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