Title: GA-based optimisation using RSM in WEDM of Nimonic-90: a nickel-based super alloy

Authors: Vinod Kumar; Kamal Kumar Jangra; Vikas Kumar; Neeraj Sharma

Addresses: Department of Mechanical Engineering, YMCA University of Science and Technology, Faridabad-121006, India ' Department of Mechanical Engineering, PEC University of Technology, Chandigarh-160012, India ' Department of Mechanical Engineering, YMCA University of Science and Technology, Faridabad-121006, India ' Department of Mechanical Engineering, D.A.V. University, Jalandhar-144001, India

Abstract: The present research work is focused on optimisation of WEDM process parameters for machining of Nimonic-90. It is a nickel-based alloy possessing creep resistance and high rupture strength at high temperature (up to 950°C). Genetic algorithm (GA) and response surface methodology (RSM) incorporated with each other to optimise the process parameters. Four input process parameters viz. discharge current (Ip), pulse-off time (Toff), pulse-on time (Ton), and servo voltage (SV) have been investigated and modelled for surface roughness (SR) utilising RSM. In present experimentation, quadratic model has been suggested for surface roughness. Pulse-on time is most significant effect on surface roughness as compared to other parameters. Finally, genetic algorithm, a popular evolutionary approach is used to optimise the process parameters. Using SEM micrographs and micro-hardness profile, effect of discharge energy on surface morphology has been examined.

Keywords: wire electric discharge machining; WEDM; Nimonic-90; response surface methodology; RSM; surface roughness; genetic algorithm; GA.

DOI: 10.1504/IJISE.2018.088564

International Journal of Industrial and Systems Engineering, 2018 Vol.28 No.1, pp.53 - 69

Received: 12 Jun 2015
Accepted: 02 Jan 2016
Published online: 12 Dec 2017 *

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