Optimization of Welding Dissimilar sheet metals using Taguchi and Grey based Taguchi Methods

Jeyaganesh Devaraj, Aiman Ziout, Jaber Abu Qudeiri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The scope of the present investigation is to find optimal input parameters of gas metal arc welding (GMAW) for joining two different sheets of steel. A butt joint is made from thin stainless steel SS304 and Mild steel AISI1008 of dimension 60mm×300mm×1.5mm. The L16 orthogonal array was used as the design of experiment (DOE) and a self-built CNC machine is used to fully automate the welding process. Single-objective optimization is performed using the Taguchi method and a multi-objective optimization model is developed by Grey based Taguchi method. The observations emphasize the significance of tensile strength and hardness of the welded joint. The joint characteristics are found to be improved by 7% using the optimized parameters. The percentage of contribution by input parameters is assessed using ANOVA. Wire feed rate and weld current are found to be the most influencing parameters. Furthermore, the microstructural analysis connotes the presence of courser martensite and ferrite in the heat affected zone making them vulnerable to fracture.

Original languageEnglish
Title of host publication2022 Advances in Science and Engineering Technology International Conferences, ASET 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665418010
DOIs
Publication statusPublished - 2022
Event2022 Advances in Science and Engineering Technology International Conferences, ASET 2022 - Dubai, United Arab Emirates
Duration: Feb 21 2022Feb 24 2022

Publication series

Name2022 Advances in Science and Engineering Technology International Conferences, ASET 2022

Conference

Conference2022 Advances in Science and Engineering Technology International Conferences, ASET 2022
Country/TerritoryUnited Arab Emirates
CityDubai
Period2/21/222/24/22

Keywords

  • GMAW process
  • Microstructural analysis
  • Stainless steel
  • Taguchi Optimization
  • and Grey-based Taguchi method

ASJC Scopus subject areas

  • Process Chemistry and Technology
  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering
  • Waste Management and Disposal

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