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

Author

Listed:
  • Ravindra Nath Yadav
  • Vinod Yadava
  • G.K. Singh

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.

Suggested Citation

  • Ravindra Nath Yadav & Vinod Yadava & G.K. Singh, 2014. "Application of response surface methodology and genetic algorithm for optimisation of electro-discharge diamond face grinding of tungsten carbide-cobalt composite," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 18(1), pages 76-94.
    • Handle: RePEc:ids:ijisen:v:18:y:2014:i:1:p:76-94
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