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August 7, 2023Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science

Optimization of process conditions of Powder Mixed Electric Discharge Machining of Nickel based Superalloy using Grey Wolf Optimizer algorithm

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Authors

MJM.P. JenarthananSRS. Ramesh

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Overview

Experimental study identifies optimal powder-mixed electrical discharge machining parameters in Nimonic 75 superalloy, indicating improved cutting efficiency and surface quality for aerospace alloys.

Key Points

  • Investigate the impact of conductive powder additives during electric discharge machining of Nimonic 75 and identify optimal parameters for machining performance.
  • Conducted machining experiments on Nimonic 75 using a Box–Behnken design under Response Surface Methodology evaluating zinc, cobalt, and molybdenum powders.
  • Formulated regression equations to predict material removal rate, electrode wear ratio, and surface roughness.
  • Optimized machining parameters by pairing the Grey Wolf Optimizer algorithm with the Utility concept.
  • Identified molybdenum powder as the optimal additive over zinc and cobalt for electric discharge machining of the nickel-based superalloy.
  • Established optimal processing conditions at a molybdenum concentration of 5.4 g/L, discharge current of 4 A, and duty factor of 0.8.

Cite This Study

Jenarthanan et al. (2023) studied this question.

synapsesocial.com/papers/6a82d0861228d2aa8d21f101https://doi.org/10.1177/09544062231187789
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