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Multi-objective Optimization in WEDM of Inconel 750 Alloy: Application of TOPSIS Embedded Grey Wolf Optimizer

  • G. Venkata Ajay KumarEmail author
  • K. L. Narasimhamu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 949)

Abstract

The current work focuses on multi-objective wire electrical discharge machining (WEDM) parameters optimization of Inconel 750 alloy. Taguchi L18 orthogonal array (OA) was used to carry the experiments in various WEDM parameters such as wire feed rate, pulse-on-time, pulse-off-time and water pressure. The output responses estimated are machining speed (cutting) and machined surface roughness of the part. Optimum machining parameters estimation is difficult in Taguchi process; a multi-objective optimization (MOO) technique known as TOPSIS is embedded with grey wolf optimizer (GWO). Initially, the multi-responses are converted to the relative closeness value, and then the heuristic approach is applied. Based on the optimal parametric setting value from GWO, a confirmation test has been conducted and compared with the fitness value.

Keywords

Grey wolf optimizer Wire electric discharge machining Parametric optimization TOPSIS 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringAnnamacharya Institute of Technology & Sciences (Autonomous)RajampetIndia
  2. 2.Department of Mechanical EngineeringSree Vidyanikethan Engineering College (Autonomous)A. RangampetIndia

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