Prediction of Convective Heat Transfer Coefficient in Tungsten Inert Gas Welding

Abstract

Tungsten Inert Gas (TIG) Welding is used in pipeline and pipe welding as well as in aviation and aerospace and sheet metal industries when welding particularly thin materials and special materials such as titanium. Thus, the objective of this paper is to predict the convective heat transfer coefficient (CHTC) in Tungsten Inert Gas (TIG) welding using Response Surface Methodology (RSM) was used in the study to optimize welding parameters, such as welding voltage, current, and speed, enhance the understanding of heat transfer during the welding process.  The results indicate a robust correlation between the input parameters and the CHTC, and the data is well-fitted by the quadratic model (R² = 0.9848). The model's relevance is validated by analysis of variance (ANOVA), showing a P-value of less than 0.05. The results show that welding current and speed have the greatest impact on the CHTC, with voltage having a minor effect. The study concludes that RSM is a useful technique for predicting CHTC in TIG welding, offering insightful insight for improving the welding process and the quality of welded joints. This research makes a noteworthy contribution to the field by showcasing that the predictive model developed can effectively optimize heat management in welding applications, leading to enhanced performance and reliability of welded structures.