IJMEMES logo

International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749 . Open Access


Metaheuristic Approach of Multi-Objective Optimization during EDM Process

Metaheuristic Approach of Multi-Objective Optimization during EDM Process

Goutam Kumar Bose
Department of Mechanical Engineering, Haldia Institute of Technology, Haldia, West Bengal, India.

Pritam Pain
Department of Mechanical Engineering, Haldia Institute of Technology, Haldia, West Bengal, India.

DOI https://dx.doi.org/10.33889/IJMEMS.2018.3.3-022

Received on October 13, 2017
  ;
Accepted on December 02, 2017

Abstract

In modern-day manufacturing Electric Discharge Machining (EDM) process has successfully placed itself in the domain of precision machining and generating complex geometries where secondary machining processes are eliminated. In this research paper, a die sinking EDM is applied to machine mild steel in order to measure the different multi-objective results like Material Removal Rate (MRR) and Over Cut (OC). This contradictory objective is accomplished by using the control parameters like a pulse on time, duty factor, gap current and spark gap employing copper tool with lateral flushing. Here the individual objective function of the responses is created through regression analysis. Primarily the contradictory objectives are optimized by employing Taguchi Methodology, then Regression analysis is done on the test results. Additionally, the experimental results are optimized using Response Surface Methodology (RSM). It is followed by a multi-objective optimization through Overlaid contour plots and Desirability functions to ascertain the best parametric combination amongst the set of feasible alternatives.

Keywords- Mild steel, Regression, Response surface methodology, Overlaid control plot, Desirability function, MRR, Overcut.

Citation

Bose, G. K., & Pain, P. (2018). Metaheuristic Approach of Multi-Objective Optimization during EDM Process. International Journal of Mathematical, Engineering and Management Sciences, 3(3), 301-314. https://dx.doi.org/10.33889/IJMEMS.2018.3.3-022.