Performance Analysis and Optimization of Process Parameters in WEDM for Inconel 625 Using TLBO Couple with FIS

  • Anshuman KumarEmail author
  • Chinmaya P. Mohanty
  • R. K. Bhuyan
  • Abdul Munaf Shaik
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1048)


The present investigation highlights an experimental study and optimization of machining outcomes characteristics (such as MRR and Ra) during WEDM process of Inconel 625. The present work examined the effects of wire electrode materials, such as Zn-coated brass electrode (ZCBE) and uncoated brass electrode (UBE) on work material during WEDM process. Based on L16 orthogonal array, the experiment was performed in consideration with four process factor: spark-on time (Son), flushing pressure (Pf), wire-tension (Tw), and discharge current (Dc), within selected experimental domain. The additional objective of present investigation is to develop a multi-response optimization tool for selection of satisfactory process parameter setting during WEDM of Inconel 625. Nonlinear regression model was applied to formulate statistical models for multi-objective optimization using, fuzzy inference system (FIS) combination with TLBO for fulfill this objective. Finally, the satisfactory process parameter obtained by TLBO was compared with the genetic algorithm (GA) individually and found out that, the TLBO algorithm was found to be simpler, effective, and time-saving approach while solving multi-objective problems.


WEDM MRR Surface roughness FIS TLBO GA 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Anshuman Kumar
    • 1
    Email author
  • Chinmaya P. Mohanty
    • 2
  • R. K. Bhuyan
    • 1
  • Abdul Munaf Shaik
    • 1
  1. 1.Department of Mechanical EngineeringKoneru Lakshmaiah Education FoundationVaddeswaramIndia
  2. 2.School of Mechanical EngineeringVellore Institute of TechnologyVelloreIndia

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