One of the most common welding processes in the metal-working industry is Gas Metal Arc Welding (GMAW), which is applicable to almost all types and kinds of ferrous alloys. It is a cost-effective process providing high deposition rates and significantly increasing productivity. However, maintaining quality control of welds at high productivity rates can be a rather challenging task, and it would be beneficial to connect welding parameters with the weld geometry features representing different standard quality levels. In that way, welds could be visually examined right after they are made, and welding parameters adjusted accordingly. This paper describes the influence of welding parameters on excessive throat thickness as a weld quality representative geometry feature. Dependence is described through models based on backward linear regression analysis with different combinations of input parameters. Analyzed welding parameters include process (GMAW and pulsed GMAW), welding position and technique, welding current and welding speed, with all welds made as single-pass on steel sheets with thicknesses of 4 mm and 8 mm.

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Multiple Linear Regression Analysis of Welding Parameters and Throat Thickness of GMAW Welds

  • Mirza Pašić,
  • Petar Tašić

摘要

One of the most common welding processes in the metal-working industry is Gas Metal Arc Welding (GMAW), which is applicable to almost all types and kinds of ferrous alloys. It is a cost-effective process providing high deposition rates and significantly increasing productivity. However, maintaining quality control of welds at high productivity rates can be a rather challenging task, and it would be beneficial to connect welding parameters with the weld geometry features representing different standard quality levels. In that way, welds could be visually examined right after they are made, and welding parameters adjusted accordingly. This paper describes the influence of welding parameters on excessive throat thickness as a weld quality representative geometry feature. Dependence is described through models based on backward linear regression analysis with different combinations of input parameters. Analyzed welding parameters include process (GMAW and pulsed GMAW), welding position and technique, welding current and welding speed, with all welds made as single-pass on steel sheets with thicknesses of 4 mm and 8 mm.