Optimization of Machining Parameters in Wire Electric Discharge Machining Inconel 600 Using Regression analysis

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Authors

  • V.R. Srinivasan
     Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Bengaluru – 560078, Karnataka ,IN
  • D. Yogaraj
     Department of Mechanical Engineering, Vel Tech Rangarajan Dr Sagunthala R and D Institute of Science and Technology, Chennai – 600062, Tamil Nadu ,IN
  • Ravikumar. S
     Department of Mechanical Engineering, ATME College of Engineering, Mysuru – 570028, Karnataka ,IN
  • Vinayakumar. R
     Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Bengaluru – 560078, Karnataka ,IN
  • S. R. Ravikumar
     Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Bengaluru – 560078, Karnataka ,IN
  • V. C. Chandra Shekara
     Department of Mechanical Engineering, P.E.S. College of Engineering, Mandya – 571401, Karnataka ,IN
  • H. Govindaraju
     Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Bengaluru – 560078, Karnataka ,IN

DOI:

https://doi.org/10.18311/jmmf/2024/44971

Keywords:

Design of Experiments, Inconel 600, Recast Layer, Wire Electric Discharge Machining

Abstract

In this investigation, Inconel 600 is used as the workpiece material, which is typically applied in aerospace products, chemical processing equipment, furnace parts etc., due to its good resistance to stress and wear resistance. In this work, the effect of machining parameters of Wire Electric Discharge Machining (WEDM) process is investigated. Molybdenum wire electrode of 0.1mm diameter and de-ionized water dielectric medium are used for machining. Voltage, Pulse on-time, Pulse Off-time, Peak Current and Bed speed are considered as the machining parameters. Recast layer thickness is considered as the response parameter. The type of design of experiments considered for this work is Taguchi’s L18 orthogonal array. Analysis of variance is indicating the percentage contribution of each machining parameters on response parameters. The optimum combination of machining parameters yielded minimum Recast layer thickness 4.11μm.

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Published

2024-09-04

How to Cite

Srinivasan, V., Yogaraj, D., Ravikumar, S., Vinayakumar, R., Ravikumar, S. R., Shekara, V. C. C., & Govindaraju, H. (2024). Optimization of Machining Parameters in Wire Electric Discharge Machining Inconel 600 Using Regression analysis. Journal of Mines, Metals and Fuels, 72(2), 629–635. https://doi.org/10.18311/jmmf/2024/44971

Issue

Volume 72, Issue 6, June 2024

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Crossref
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Europe PMC
Received 2024-07-20
Accepted 2024-08-09
Published 2024-09-04

 

References

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