Optimization of gas metal arcwelding parameters of SS304 austenitic steel by Taguchi –Grey relational analysis

Rizvi, Saadat Ali; Tewari, S P

doi:10.22061/jcarme.2017.2215.1207

Document Type : Research Paper

Authors

Saadat Ali Rizvi ¹
S P Tewari ²

¹ jmi.ac.in

² IIT(BHU)

https://doi.org/10.22061/jcarme.2017.2215.1207

Abstract

This study investigated the optimization of three welding parameters (wire feed speed, arc voltage, and shielding gas flow rate) for SS 304H by using Taguchi based Grey relational analysis. In this research work, pure argon was used as shielding gas. Numbers of trials were performed as per L₁₆ (4^xx3) orthogonal array design and the mechanical quality such ultimate tensile strength, microhardness, Toughness, and microstructure of SS304H optimized by Grey-based Taguchi analysis and result shows that the optimal parameters combination were as A4B4C3 i.e. flow rate at 23L/min, voltage at 25 V and welding speed at 350IPM and it was observed that wire feed speed had the most significant effect followed by voltage and gas flow rate. An optimal combined parameter of the welding operation was obtained via Grey relational analysis. By analyzing Grey relational grade matrix, the degree of influence for each controllable process factor onto individual quality targets can be found.

Graphical Abstract

Keywords

20.1001.1.22287922.2018.7.2.5.5

Main Subjects

Welding

References

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Journal of Computational & Applied Research in Mechanical Engineering (JCARME)

Optimization of gas metal arcwelding parameters of SS304 austenitic steel by Taguchi –Grey relational analysis

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Volume 7, Issue 2 - Serial Number 14
March 2018
Pages 189-198

Optimization of gas metal arcwelding parameters of SS304 austenitic steel by Taguchi –Grey relational analysis

References

References

Send comment about this article

Volume 7, Issue 2 - Serial Number 14March 2018Pages 189-198

Volume 7, Issue 2 - Serial Number 14
March 2018
Pages 189-198