Multi-response optimization of TIG dissimilar welding of AISI 1008 mild steel and AISI 316 stainless steel using grey-based Taguchi method

Okwudili Simeon Ogbonna, Stephen A. Akinlabi, Nkosinathi Madushele, Olawale Samuel Fatoba*, Esther Titilayo Akinlabi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
21 Downloads (Pure)

Abstract

This article presents a reliable method of multi-performance characteristics optimization of TIG dissimilar welding of mild steel and stainless steel. Grey-integrated Taguchi optimization approach was adopted for the optimization of the welding process parameters such as the welding current, the welding voltage and the gas flow rate for multi-performance characteristics such as the ultimate tensile strength, yield strength, percentage elongation and Vickers microhardness of the fusion zone. L9 Taguchi orthogonal array was employed with three process parameters all at three levels. The welding current was the most significant process parameter for the multi-performance characteristics of the weld joint. The optimal setting for the multi-performance characteristics of the weld joint was obtained as welding current at level 1 (110 A), welding voltage at level 1 (11 V) and gas flow rate at level 3 (18 l min−1). The corresponding response variables at the optimal setting were ultimate tensile strength, yield strength, percentage elongation and Vickers microhardness of 493.29 MPa, 395.38 MPa, 31.35% and 390.52 HV respectively. These values are all found to be higher than the values obtained at the initial settings. This shows that grey-integrated Taguchi optimization is an effective method in multi-performance characteristics optimization of dissimilar welded material.

Original languageEnglish
Pages (from-to)749-758
Number of pages10
JournalInternational Journal of Advanced Manufacturing Technology
Volume126
Issue number1-2
Early online date3 Mar 2023
DOIs
Publication statusPublished - 1 May 2023

Keywords

  • Grey-relational analysis
  • Multi-performance characteristics
  • Taguchi optimization
  • Welding

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