Pitting corrosion characteristics of gas tungsten arc welded austenitic steel

This study utilized a hybrid optimization technique, specifically the Taguchi-based grey-fuzzy logic, to optimize gas tungsten arc welding parameters with regard to tensile strength and hardness of 316L austenitic stainless steel. The Taguchi L27 orthogonal design of experiments was employed to optimize four input parameters: welding current, speed, voltage, and gas flow rate, to assess the pitting corrosion properties of the steel. Potentiodynamic polarization tests using a potentiostat were conducted to evaluate the pitting corrosion resistance of the welded samples. Microstructural analyses, aided by scanning electron microscopy, were performed to assess the surface morphologies of the steel samples. Subsequently, a confirmatory experiment was carried out to validate the optimization technique used. The results obtained indicate that the optimal welding parameters are a current of 95 A, speed of 0.7 mm/s, voltage of 25 V, and gas flow rate of 20 L/min, showing that the optimized steel sample exhibited an improvement in the multi-response performance index in terms of mechanical properties from 0.0409 to 0.495. By utilizing the strengths of both methods and integrating this hybrid optimization technique, the study provides valuable insights into the relationship between welding parameters and corrosion resistance, ultimately contributing to the development of more durable and reliable stainless-steel components.

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Publication Details

Journal
Journal of Electrochemical Science and Engineering
Published
2025-06-06
DOI
https://doi.org/10.5599/jese.2615
Primary Topic
Welding Techniques and Residual Stresses
Type
article
Field-Weighted Citation Impact
0.00

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article

Pitting corrosion characteristics of gas tungsten arc welded austenitic steel

Basil O. Onyekpe, O. Awheme, Afabor Abraham Martins, Cyril O. Uyeri
Journal of Electrochemical Science and Engineering
Welding Techniques and Residual Stresses
article

Pitting corrosion characteristics of gas tungsten arc welded austenitic steel

Basil O. Onyekpe, O. Awheme, Afabor Abraham Martins, Cyril O. Uyeri
article en

Abstract

This study utilized a hybrid optimization technique, specifically the Taguchi-based grey-fuzzy logic, to optimize gas tungsten arc welding parameters with regard to tensile strength and hardness of 316L austenitic stainless steel. The Taguchi L27 orthogonal design of experiments was employed to optimize four input parameters: welding current, speed, voltage, and gas flow rate, to assess the pitting corrosion properties of the steel. Potentiodynamic polarization tests using a potentiostat were conducted to evaluate the pitting corrosion resistance of the welded samples. Microstructural analyses, aided by scanning electron microscopy, were performed to assess the surface morphologies of the steel samples. Subsequently, a confirmatory experiment was carried out to validate the optimization technique used. The results obtained indicate that the optimal welding parameters are a current of 95 A, speed of 0.7 mm/s, voltage of 25 V, and gas flow rate of 20 L/min, showing that the optimized steel sample exhibited an improvement in the multi-response performance index in terms of mechanical properties from 0.0409 to 0.495. By utilizing the strengths of both methods and integrating this hybrid optimization technique, the study provides valuable insights into the relationship between welding parameters and corrosion resistance, ultimately contributing to the development of more durable and reliable stainless-steel components.

Journal of Electrochemical Science and EngineeringVol. 15(4)
Delta State University (NG), Delta State Polytechnic Ogwashi-Uku (NG), University of Benin Teaching Hospital (NG), University of Benin (NG), Delta State University (US)
Tertiary Education Trust Fund
Openalex Percentile: Top 88%
Welding Techniques and Residual Stresses
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Pitting corrosion characteristics of gas tungsten arc welded austenitic steel — Basil O. Onyekpe, O. Awheme, et al. · Journal of Electrochemical Science and Engineering (2025) | TGRS Research Map | TGRS