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Advanced Engineering Optimization Through Intelligent Techniques pp 127–135Cite as

Multi-objective Optimization of EDM Process Parameters Using Jaya Algorithm Combined with Grey Relational Analysis

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 949))

Abstract

Electrical discharge machining is a controlled machining process used to machine parts of complex geometry with high precision and low tolerance having many applications in various fields. Therefore, for effective utilization of available resources and to improve overall process performance, it calls for an optimization of EDM process parameters. In this study, tool wear rate (TWR) and material removal rate (MRR) are optimized for the three independent parameters such as magnetic field, pulse on time and gap current by using Jaya algorithm combined with grey relational analysis. From the grey relational grade, using regression analysis optimization model is developed and optimized using Jaya algorithm. The purpose of this work is to provide a platform to the researchers and manufacturing industries for determining the optimal setting of machining parameters involving multiple target responses. In general, this approach can be used for other manufacturing processes and even for other application fields.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, D.Y. Patil College of Engineering, Akurdi, Pune, Maharashtra, India

    Ashish Khachane & Vijaykumar Jatti

Authors
  1. Ashish Khachane
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  2. Vijaykumar Jatti
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Corresponding author

Correspondence to Ashish Khachane .

Editor information

Editors and Affiliations

  1. Sardar Vallabhbhai National Institute of Technology, Surat, Surat, Gujarat, India

    R. Venkata Rao

  2. Cracow University of Technology, Kraków, Poland

    Jan Taler

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Khachane, A., Jatti, V. (2020). Multi-objective Optimization of EDM Process Parameters Using Jaya Algorithm Combined with Grey Relational Analysis. In: Venkata Rao, R., Taler, J. (eds) Advanced Engineering Optimization Through Intelligent Techniques. Advances in Intelligent Systems and Computing, vol 949. Springer, Singapore. https://doi.org/10.1007/978-981-13-8196-6_12

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