Indian Journal of Engineering & Materials Sciences

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Process optimization and comparative analysis of EDM and EDD process in machining Al6063/10% SiC metal matrix composites


Affiliations
1 Department of Mechanical Engineering, National Institute of Technology Patna, Patna – 800 005, India
2 Department of Mechanical Engineering, National Institute of Technology Meghalaya, Shillong – 793 003, India

In this work, a comparative investigation of electric discharge machining (EDM) and electric discharge drilling (EDD) has been presented to evaluate the performance measures for machining blind holes in Al6063/10% SiC metal matrix composites (MMCs). The work has been conducted with an aim of optimizing the material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR). The input parameters chosen for machining are (i) discharged current, (ii) pulse-on time, and (iii) duty factor. The Taguchi’s L9 orthogonal array has been applied to design the experiments. The grey relational analysis has also been used to determine the optimal level of input parameters to achieve better results. Analysis of variances (ANOVA) has been applied to perform the statistical analysis of the experimental data. The results have shown that discharge current is the most influencing factor that affects the multiple performance characteristics in both EDM and EDD processes.
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  • Process optimization and comparative analysis of EDM and EDD process in machining Al6063/10% SiC metal matrix composites

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Authors

Sabindra Kachhap
Department of Mechanical Engineering, National Institute of Technology Patna, Patna – 800 005, India
Abhishek Singh
Department of Mechanical Engineering, National Institute of Technology Patna, Patna – 800 005, India
Kishore Debnath
Department of Mechanical Engineering, National Institute of Technology Meghalaya, Shillong – 793 003, India

Abstract


In this work, a comparative investigation of electric discharge machining (EDM) and electric discharge drilling (EDD) has been presented to evaluate the performance measures for machining blind holes in Al6063/10% SiC metal matrix composites (MMCs). The work has been conducted with an aim of optimizing the material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR). The input parameters chosen for machining are (i) discharged current, (ii) pulse-on time, and (iii) duty factor. The Taguchi’s L9 orthogonal array has been applied to design the experiments. The grey relational analysis has also been used to determine the optimal level of input parameters to achieve better results. Analysis of variances (ANOVA) has been applied to perform the statistical analysis of the experimental data. The results have shown that discharge current is the most influencing factor that affects the multiple performance characteristics in both EDM and EDD processes.