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

  • Ashish KhachaneEmail author
  • Vijaykumar Jatti
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 949)


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.


Jaya algorithm Multi-objective optimization Grey relational analysis Electrical discharge machining Tool wear rate Material removal rate 


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringD.Y. Patil College of EngineeringAkurdi, PuneIndia

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