Input Parameters optimization in EDM Process using RSM and JAYA Algorithm

Authors

  • Monalisa Das Mechanical Engineering Department, MMIT, Pune 47 Author
  • Ramesh Rudrapati Mechanical Engineering Department, GHRCEM, Pune Author
  • Nabendu Ghosh Mechanical Engineering Department, GHRCEM, Pune Author
  • Lakhan Rathod Mechanical Engineering Department, Jadavpur University, Kolkata 700032 Author

Keywords:

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

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.

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Published

2016-10-05

Issue

Special Issue-6 (Oct 2016)

Section

Articles

How to Cite

Input Parameters optimization in EDM Process using RSM and JAYA Algorithm. (2016). International Journal of Current Engineering and Technology, 1(3.Special Issue), 109-112. https://ijcet.evegenis.org/index.php/ijcet/article/view/4363