Journal of Minerals and Materials Characterization and Engineering

Volume 11, Issue 10 (October 2012)

ISSN Print: 2327-4077   ISSN Online: 2327-4085

Google-based Impact Factor: 1  Citations  

Optimization of ECM Process Parameters Using NSGA-II

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DOI: 10.4236/jmmce.2012.1110091    6,950 Downloads   9,110 Views  Citations

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.

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C. Senthilkumar, G. Ganesan and R. Karthikeyan, "Optimization of ECM Process Parameters Using NSGA-II," Journal of Minerals and Materials Characterization and Engineering, Vol. 11 No. 10, 2012, pp. 931-937. doi: 10.4236/jmmce.2012.1110091.

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