Optimization of Tungsten Inert Gas Welding Parameters using Grey Relational Analysis for joining AA 6082 Pipes

Ibrahim Sabry, Dinu Thomas Thekkuden, Abdel Hamid I. Mourad, Sanan Husain Khan

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

8 Citations (Scopus)

Abstract

This work focusses on optimizing the tungsten inert gas welding parameters for welding AA6082 using multi-criteria decision-making grey relation analysis. Main tungsten inert gas welding parameters such as welding current, travel speed and arc length are investigated for the effect on the geometry of weld such as bead width, penetration, depth of heat affected zone and width of heat affected zone. The results of grey relational analysis proved that the optimum process parameters of the tungsten inert gas welding of AA6082 pipelines were 105 Ampere, 10 mm/min welding speed and 4 mm arc length. The least optimal parameters were 60 Ampere, 50 mm/min welding speed and 2 mm arc length. Factorial analysis proved that main effects of current, arc length and welding speed and interaction effects of current and welding speed have a significant effect on the bead characteristics such as bead width, penetration, depth and width of heat affected zone.

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

  • Grey relational analysis
  • Tungsten inert gas welding
  • aluminum 6082 pipes

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

Fingerprint

Dive into the research topics of 'Optimization of Tungsten Inert Gas Welding Parameters using Grey Relational Analysis for joining AA 6082 Pipes'. Together they form a unique fingerprint.

Cite this