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Input Parameters optimization in EDM Process using RSM and JAYA Algorithm


Author : Monalisa Das, Ramesh Rudrapati, Nabendu Ghosh and Lakhan Rathod

Pages : 109-112
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Abstract

The present work is planned to optimize the material removal rate (MRR), tool wear rate (TWR) and surface roughness (Ra) in electric discharge machining (EDM) process. Response surface methodology (RSM) is very useful for mathematical modeling to relate the input and output responses. Jaya algorithm (JA); newly developed by Rao, 2016 to optimize the complex engineering problems. In the present analysis, the effectiveness of RSM along with JA has been studied in optimization of EDM process when machining of RENE80 nickel super alloy material with aluminum as a tool electrode. Same problem had been optimized by using Taguchi method (Chandramouli et al., 2014).From the analysis, it is found that RSM and JA is very efficient to optimize EDM process.

Keywords: Electric discharge machining, Material removal rate, Tool wear rate, Surface roughness, Jaya algorithm.

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