Prediction and Optimization of TIG Welding Process Parameters of AISI 317L Stainless Steel Plates Using Response Surface Methodology

Erhuvwu Totore *

Department of Mechanical Engineering, Delta State Polytechnic, Otefe-Oghara, Nigeria.

Collins U. Oside

Department of Mechanical Engineering Technology, National Institute of Construction Technology and Management, Uromi, Nigeria.

Sunny I. Iremia

Department of Mechanical Engineering, Federal University of Petroleum Resources, Nigeria.

*Author to whom correspondence should be addressed.


The quality of welds is greatly influenced by the weld bead geometry and mechanical-metallurgical properties of the welded joint which have a direct relationship with the type of welding process being used and its input process parameters such as welding current, gas flow rate, arc voltage, travel speed, etc. In this study, the prediction and optimization of tungsten inert gas (TIG) welding input parameters for achieving maximum tensile strength of 317L stainless steel is investigated. The experimental strategy to determine the impact of process parameters on tensile strength has been developed using a central composite design of response surface methodology. Two levels of welding input parameters were used to create the square butt joint configuration. The results indicate that gas flow rate has a greater influence on tensile strength followed by welding current. The model F-value of 18.19 at a P value of 0.0026 for the tensile strength showed the significance of the model employed. The optimal tensile strength of 618.627 MPa was observed at a current of 150 A, travel speed at 15.69 cm/min, and gas flow rate at 8.96 l/min.

Keywords: Tungsten inert gas welding, tensile strength, central composite design, analysis of variance, response surface methodology

How to Cite

Totore, E., Oside, C. U., & Iremia, S. I. (2023). Prediction and Optimization of TIG Welding Process Parameters of AISI 317L Stainless Steel Plates Using Response Surface Methodology. Journal of Materials Science Research and Reviews, 6(2), 93–107. Retrieved from


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DOI: 10.2478/scjme-2018-0037.