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Experimental modeling and optimization of electric discharge diamond face grinding of metal matrix composite

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Abstract

Machining of metal matrix composites (MMCs) has been a big challenge for manufacturing industries due to its superior mechanical properties. Unconventional machining methods have become an alternative to give desired shapes with intricate profiles and stringent design requirements. The present research investigates the grinding performance of copper–iron–graphite MMC using electric discharge diamond face grinding (EDDFG), which is electric discharge machining-based hybrid machining process. Experiments have been performed on a self-developed experimental setup of EDDFG with scientifically designed experiments. Effects of process input parameters on two important performances, material removal rate (MRR) and surface roughness (SR), have been analyzed. Genetic algorithm-based optimization of MRR and SR models show considerable improvements in both characteristics, as confirmed by verification experiments. Results reveal that peak current is a common significant factor for both MRR and SR.

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Authors and Affiliations

  1. Mechanical Engineering Department, Motilal Nehru National Institute of Technology, Allahabad, 211004, Uttar Pradesh, India

    Pankaj Kumar Shrivastava & Avanish Kumar Dubey

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  1. Pankaj Kumar Shrivastava
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  2. Avanish Kumar Dubey
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Correspondence to Avanish Kumar Dubey.

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Shrivastava, P.K., Dubey, A.K. Experimental modeling and optimization of electric discharge diamond face grinding of metal matrix composite. Int J Adv Manuf Technol 69, 2471–2480 (2013). https://doi.org/10.1007/s00170-013-5190-8

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  • DOI: https://doi.org/10.1007/s00170-013-5190-8

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