GA-based optimisation using RSM in WEDM of Nimonic-90: a nickel-based super alloy Online publication date: Tue, 12-Dec-2017
by Vinod Kumar; Kamal Kumar Jangra; Vikas Kumar; Neeraj Sharma
International Journal of Industrial and Systems Engineering (IJISE), Vol. 28, No. 1, 2018
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.
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