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

Author

Listed:
  • Vinod Kumar
  • Kamal Kumar Jangra
  • Vikas Kumar
  • Neeraj Sharma

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.

Suggested Citation

  • Vinod Kumar & Kamal Kumar Jangra & Vikas Kumar & Neeraj Sharma, 2018. "GA-based optimisation using RSM in WEDM of Nimonic-90: a nickel-based super alloy," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 28(1), pages 53-69.
    • Handle: RePEc:ids:ijisen:v:28:y:2018:i:1:p:53-69
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