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Industrial Engineering Journal

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OPTIMIZATION OF ELECTRO CHEMICAL MACHINING (ECM) ON COPPER WORK PIECE BY NON-DOMINATED SORTING GENETIC ALGORITHM (NSGA)

Shubham Soni

Dr. Dilip Gehlot

Dr. Neelesh K. Sahu

Dr. Pankaj Jain

Kuldeep Kashyap

Abstract

In this research paper, the effect of various input parameters such as applied voltage, electrolyte concentration, flow rate and inter electrode gap on machining rate was done using Taguchi method. Experiments are conducted on ECM with the aim to check the performance of process parameter on the surface of copper by using Non Dominated Sorting Genetic Algorithm. Set of experiments were designed by using Taguchi L9 orthogonal array using Minitab17. Regression equation and analysis of variance (ANOVA) were also done by Taguchi technique. Increase in machining voltage, flow rate and electrolyte concentration, material removal rate is also increasing. Experimental result shows that inter electrode gap are the most affecting parameters on MRR and taper angle. As the inter electrode gap increase the MRR and taper angle is decreases.

Keywords- MRR, Taper angle, ANOVA, Copper, Taguchi, Non-dominated sorting genetic algorithm

Volume (2022)

Number 4 (Apr)

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