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Abstract
The fusion welding process of metallic components, such as using gas tungsten arc welding (GTAW), is often accompanied by detrimental deformations and residual stresses, which affect the strength and functionality of these components. In this work, a phase-field model, usually used to track the states of phase-change materials, is embedded in a thermo-elastoplastic finite element model to simulate the GTAW process and estimate the residual stresses. This embedment allows to track the moving melting front of the metallic material induced by the welding heat source and, thus, splits the domain into soft and hard solid regions with a diffusive interface between them. Additionally, temperature- and phase-field-dependent material properties are considered. The J2 plasticity model with isotropic hardening is considered. The coupled system of equations is solved in the FE package FEniCS, whereas two- and three-dimensional initial-boundary-value problems are introduced and the results are compared with reference data from the literature.
Highlights
In fusion welding processes, two or more metallic parts are permanently joined by applying a suitable heat source, e.g. arc, laser, or electron beam sources
The main objective of this work is to gain new insight into the challenging coupled inelastic thermomechanical processes that occur during gas tungsten arc welding (GTAW) via applying an advanced numerical study and comparison with experimental and numerical data from the literature
Bhatti et al [16] have reported that more heat accumulation occurs at lower thermal conductivity values and it takes a longer time for the specimen to conduct heat to the surrounding material
Summary
Two or more metallic parts are permanently joined by applying a suitable heat source, e.g. arc, laser, or electron beam sources. Such a way of joining is of particular importance, especially for metallic structures, such as pressure vessels and piping systems. The experimental measurements of residual stresses and distortions involve some shortcomings related to the complexity, cost, and difficulty of obtaining complete and detailed values For these reasons and due to the advancements in numerical techniques and computational capacities, researchers have focused on developing and implementing numerical models.
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