Multi-Objective Optimization of Die-Sinking Electric Discharge Machining

Abstract:

— Parametric optimization of electric discharge machining (EDM) is a challenging task. Many researchers have employed different multi-objective optimization techniques for the same. This work employs multi-response signal-to-noise (MRSN) technique to find the optimum factor/level combination of input parameters. Experiments have been conducted on die-sinking EDM by taking heat treated D2 steel as work piece and copper as tool electrode. Experiments have been designed as per Taguchi’s L36 orthogonal array. Two cases v.i.z. high cutting efficiency and high surface finish have been taken. Analysis of variance (ANOVA) is employed to indicate the level of significance of machining parameters in both the cases. Finally, results have been verified experimentally and a significant improvement in material removal rate and surface roughness is observed.

• Periodical: Applied Mechanics and Materials (Volumes 110-116)
• Pages: 1817-1824
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.110-116.1817
• Online since: October 2011
• Authors: Pushpendra S. Bharti, S. Maheshwari, C. Sharma
• Keywords: Design of Experiment (DOE), Electric Discharge Machining (EDM), Heat Treated D2 Steel, Material Removal Rate (MRR), Multi-Response Signal-to-Noise Ratio (MRSN), Surface Roughness (SR)

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