Parametric Optimization of Gas Metal Arc Welding Process Parameters

Authors

  • Wael Hekmat Ahmed Shaheen Department of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq
  • Marwan Ali Salman Department of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq
  • Yahya Mohey Hamad Department of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq
  • Wisam Thamer Abbood Department of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq

DOI:

https://doi.org/10.46604/aiti.2026.16345

Keywords:

gas metal arc welding, low-carbon steel, finite element model, response surface methodology, welding parameters optimization

Abstract

The gas metal arc welding (GMAW) parameters for a homogeneous low-carbon steel butt-welded plate are optimized using a systematic integrated model. This study aims to create a thermo-mechanical finite element model to predict the weld bead geometry during GMAW. The numerical model incorporates the Goldak double-ellipsoid model, temperature-dependent material properties, and coupled thermo-mechanical finite element analysis. The model is validated against published experimental data and used for a parametric study. Response surface methodology is then applied to develop a statistical model for optimizing GMAW parameters while maintaining geometric constraints on fusion width and cumulative heat. The validated computational model exhibits exceptional precision in reconstructing the weld bead geometry, with prediction errors below 5% in penetration depth and fusion width. The optimized parameters are: 261.5 A of current, 25.8 V of voltage, and 850 mm/min of travel velocity with 2.45 mm penetration depth and 9.98 mm fusion width.

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Published

2026-07-22

How to Cite

[1]
Wael Hekmat Ahmed Shaheen, Marwan Ali Salman, Yahya Mohey Hamad, and Wisam Thamer Abbood, “Parametric Optimization of Gas Metal Arc Welding Process Parameters”, Adv. technol. innov., Jul. 2026.

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