Title: Optimisation of EDM process parameters by application of genetic algorithm

Authors: Sumit Sharma; Love Kishore Sharma; Dheeraj Joshi; Mohammad Israr; Ritesh Mathur; Deepak Sharma

Addresses: Department of Mechanical Engineering, ACEIT, Jaipur, Rajasthan, India ' Department of Mechanical Engineering, ACEIT, Jaipur, Rajasthan, India ' Department of Mechanical Engineering, SKIT, Jaipur, Rajasthan, India ' Department of Mechanical Engineering, Sur University College, Sur, Oman ' Department of Mechanical Engineering, ACEIT, Jaipur, Rajasthan, India ' Department of Mechanical Engineering, ACEIT, Jaipur, Rajasthan, India

Abstract: The EDM efficiency can be strengthened by suitably defining the critical factors and their values for obtaining desired responses. In the present research work, response surface methodology (RSM) with face centred cubic (FCC) approach is implemented for correlating the response, i.e., material removal rate (MRR) with control factors, i.e., voltage, peak current, pulse on time. These factors provide maximum MRR of 230.6 gm/min. To obtain the optimal solution, genetic algorithm (GA) is coupled with the obtained mathematical model. The dielectric fluid used is kerosene oil. ANOVA and F-test are used to check for model validation. R² and adjusted R² which confirms the validity of proposed model. The work piece material used in research work is AISI 4140 steel.

Keywords: response surface methodology; RSM; face centred cubic; FCC; material removal rate; MRR; genetic algorithm; ANOVA.

DOI: 10.1504/IJSI.2022.123073

International Journal of Swarm Intelligence, 2022 Vol.7 No.2, pp.168 - 181

Received: 27 Nov 2019
Accepted: 27 Nov 2020
Published online: 26 May 2022 *

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