Optimization of TIG Welding Process Parameters of Ss 304 By Taguchi Method and Grey Relation Analysis

Authors

  • Sameer Sharma Research Scholar, Department of Mechanical Engineering, Madhav Institute of Science & Technology, Gwalior, Madhya Pradesh,
  • Vedansh Chaturvedi Assistant Professor, Department of Mechanical Engineering, Madhav Institute of Science & Technology, Gwalior, Madhya Pradesh,
  • Jyoti Vimal Assistant Professor, Department of Mechanical Engineering, Madhav Institute of Science & Technology, Gwalior, Madhya Pradesh,

DOI:

https://doi.org/10.37591/joprm.v9i3.3518

Keywords:

TIG Welding, Taguchi Method, Grey relation analysis, SS30430, Signal to Noise Ratio (S/N) Ratio

Abstract

TIG welding is one of the widely used welding processes in manufacturing industries. In any of the welding processes, many factors play a vital role in obtaining strength of welding joint like bead geometry. So, there is need of optimizing the TIG process for a better so in this paper optimization of various TIG parameters have been done like bead geometry, penetration, and HAZ (Heat Affected Zones) on the basis of input parameters like current, voltage and welding speed. And optimization has been done by using Taguchi method by using L 9 orthogonal array and then by applying various calculation of Taguchi Method and then verifying it by using grey relation analysis. The optimization will provide the best result by giving the best combination of input levels as we are using three levels input system. The highest level of S/N ratio decides the best combination of inputs and hence the optimized result is obtained.

References

Cite this Article

Sameer Sharma, Vedansh Chaturvedi, Jyoti Vimal. Optimization of TIG Welding Process Parameters of SS 304 by Taguchi Method and Grey Relation Analysis. Journal of Production Research & Management. 2019; 9(3): 27–40p.

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Published

2019-11-29

Issue

Vol. 9 No. 3 (2019)

Section

Articles

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