Modeling, Prediction and Validation of Thermal Cycles, Residual Stresses and Distortion in Type 316 LN Stainless Steel Weld Joint made by TIG Welding Process

Abstract

Abstract In this research work, Finite Element Modeling (FEM) using SYSWELD was carried out to predict thermal cycles, residual stresses and distortion in type 316 LN stainless steel weld joint made by TIG welding process. The numerically predicted thermal cycles and temperature distribution were validated using Infrared (IR) Thermography. The model predictions of the surface and bulk residual stress profiles were validated using X-ray Diffraction (XRD) and Ultrasonic Testing (UT) respectively. Distortion analysis was also performed and validated using digital height gauge measurement. IR thermography was found to be a good tool for validating the model predictions of the temperature distribution in the weld joint. There was good agreement between the model predictions and the experimentally observed values of temperature, residual stresses and distortion. Therefore, the numerical modeling in combination with non-destructive methods provides an efficient approach for predicting the effect of welding process on the weld attributes.