Investigation of the effects of some input parameter on the tensile strength of mild steel using RSM

https://doi.org/10.53730/ijpse.v10n2.15977

Authors

  • Eyaefe Sunday University of Benin, Benin City, Nigeria
  • Achebo J. I. University of Benin, Benin City, Nigeria
  • Obahiagbon K. O. University of Benin, Benin City, Nigeria
  • Etin-Osa C. E University of Benin, Benin City, Nigeria

Keywords:

current, gas, speed welding, tensile, voltage

Abstract

Tensile strength been a key measurement used by researchers, engineers, and quality control departments to evaluate the mechanical properties of a material, product, or component. This study aimed to investigate the effect of  influence of welding current, voltage, and travel speed on the tensile strength for Gas Metal Arc Welding (GMAW) of mild steel using Response Surface Methodology . A Central Composite Design comprising twenty experimental runs was employed to systematically investigate the effects of three input factors: welding current (180–210 A), voltage (22–25 V), and weld speed (2.0–3.5 mm/s). Quadratic polynomial models were developed using Response Surface Methodology in Design-Expert software,  Multi-objective optimization was performed using both the desirability function approach within RSM. All optimized parameter combinations were experimentally validated through confirmation runs, with statistical diagnostics including coefficient of determination (R²), adjusted R², predicted R², lack-of-fit tests, and residual analysis used to assess model adequacy and predictive reliability. Results showed  RSM  predictive accuracy a Tensile Strength 76.78%, . The optimization approaches converged to a consistent optimal parameter window (Current ≈194–195 A, Voltage = 25 V, Weld Speed ≈2.7–3.5 mm/s).

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Published

2026-07-04

How to Cite

Eyaefe, S., Achebo, J. I., Obahiagbon, K. O., & Etin-Osa, C. E. (2026). Investigation of the effects of some input parameter on the tensile strength of mild steel using RSM. International Journal of Physical Sciences and Engineering, 10(2), 7–16. https://doi.org/10.53730/ijpse.v10n2.15977

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Peer Review Articles