Optimisation of EDM process parameters by application of genetic algorithm
by Sumit Sharma; Love Kishore Sharma; Dheeraj Joshi; Mohammad Israr; Ritesh Mathur; Deepak Sharma
International Journal of Swarm Intelligence (IJSI), Vol. 7, No. 2, 2022

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.

Online publication date: Thu, 26-May-2022

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