Application of response surface methodology and genetic algorithm for optimisation of electro-discharge diamond face grinding of tungsten carbide-cobalt composite

Ravindra Nath Yadav, Vinod Yadava and G.K. Singh

International Journal of Industrial and Systems Engineering, 2014, vol. 18, issue 1, 76-94

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.

Keywords: electro-discharge machining; EDM; electro-discharge diamond grinding; EDDG; genetic algorithms; GAs; optimisation; response surface methodology; RSM; tungsten carbide-cobalt composites; tungsten carbide; cobalt; electrical discharge machining; wheel speed; pulse current; pulse on-time; material removal rate; MRR; average surface roughness; surface quality; central composite rotatable design; CCRD; mathematical modelling; NSGA-II. (search for similar items in EconPapers)
Date: 2014
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