An Experimental Analysis of the Effects of Graphite Powder Mixed Dielectric Medium in the Electrical Discharge Machining of Cu-Al Alloy

International Journal of Mechanical Engineering

© 2024 by SSRG - IJME Journal

Volume 11 Issue 8

Year of Publication : 2024

Authors : Mohit Kumar, Manoj Kumar Poddar, Dharmvir Kumar, Chandra Bhushan Kumar Yadav

10.14445/23488360/IJME-V11I8P109

How to Cite?

Mohit Kumar, Manoj Kumar Poddar, Dharmvir Kumar, Chandra Bhushan Kumar Yadav, "An Experimental Analysis of the Effects of Graphite Powder Mixed Dielectric Medium in the Electrical Discharge Machining of Cu-Al Alloy," SSRG International Journal of Mechanical Engineering, vol. 11,  no. 8, pp. 74-83, 2024. Crossref, https://doi.org/10.14445/23488360/IJME-V11I8P109

Abstract:

Electric Discharge Machining (EDM) is a non-traditional manufacturing method used in a variety of sectors, including automotive, military, aerospace, and microsystems, to produce low-cost products with consistent quality. PowderMixed Electric Discharge Machining (PMEDM) is a novel technique that reduces the insulating strength of the fluid and increases the spark gap between the tool and workpiece by combining the electrically conductive powder with the dielectric. This leads to a more consistent process, which enhances the rate of material removal and the quality of the surface. The present study examined the effects of dielectric mixed with micro-sized graphite powder on the material removal rate and surface roughness of the Cu-Al alloy workpiece material. The purpose of using Cu-Al alloy as a work material is to study the process behavior of this material, which has specific applications in nuclear reactors, spacecraft, rocket motors, and gas turbines. We use the Taguchi technique to design the experiments and the ANOVA technique to analyze the results. Using powder-mixed dielectric improves the MRR and SR, with peak current and powder concentration being the most significant factors during the process.

Keywords:

PMEDM, Cu-Al alloy, Taguchi method, ANOVA, Regression.

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