Application of response surface methodology and genetic algorithm for optimisation of electro-discharge diamond face grinding of tungsten carbide-cobalt composite Online publication date: Sat, 30-Aug-2014
by Ravindra Nath Yadav; Vinod Yadava; G.K. Singh
International Journal of Industrial and Systems Engineering (IJISE), Vol. 18, No. 1, 2014
Abstract: The objective of this paper is to optimise the electrical discharge diamond face grinding (EDDFG) process. The experiments were performed on a self developed face grinding setup, which is attached with vertical column of EDM machine. The experiments were conducted on tungsten carbide-cobalt (WC-Co) composite workpiece considering the simultaneous effect of wheel speed, pulse current, pulse on-time and duty factor on material removal rate (MRR) and average surface roughness (Ra). The experiments were conducted according to the central composite rotatable design (CCRD) and developed a mathematical model to predict the relation between input-output parameters using response surface methodology (RSM). The developed RSM model is coupled with non-dominated sorting genetic algorithm (NSGA-II) to optimise the process parameters. Finally optimal solution obtained from Pareto front is presented and compared with experimental results.
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