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Parametric Optimization of Electrochemical Machining Process Using Taguchi Method and Super Ranking Concept While Machining on Inconel 825

  • Partha Protim DasEmail author
  • Shankar Chakraborty
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 949)

Abstract

To exploit the fullest machining potential of electrochemical machining (ECM) process while machining on Inconel 825, it is recommended to operate the machine with the optimal combination of machining process parameters. Past researchers have already applied grey relational analysis (GRA) as an optimization tool so as to obtain the optimal parametric combination of ECM process. In this paper, based on the experimental data obtained by the past researchers, Taguchi method and super ranking concept is applied to analyze the efficacy of the proposed approach in obtaining the optimal parametric combination of ECM process. The derived parametric combination is validated with respect to the predicted response values, obtained from the developed regression equations which show that the proposed approach results in improved response values than that obtained by past researchers. Finally, Analysis of variance (ANOVA) is applied to identify the influence of each process parameters for the considered ECM process.

Keywords

Taguchi method Super ranking ECM process Optimization Process parameter Response ANOVA 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringSikkim Manipal Institute of Technology, Sikkim Manipal UniversityMajitarIndia
  2. 2.Department of Production EngineeringJadavpur UniversityKolkataIndia

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