
Significant progress has been made in the development of computational tools to facilitate the modelling of the welding process. These tools have made it possible to evaluate very complicated phenomena, such as welding distortion along with stress. When welding, the most modern instruments take into consideration the thermo-mechanical and thermo- metallurgical modifications that occur. These changes occur throughout the welding process. It is feasible to build reliable simulations of the methods of welding by taking into consideration these modifications as well as the characteristics of the materials at various temperature levels. For this sector, T-joint welded topologies are studied. This work deals with the simulation of welding distortions on a T-joint plate using ANSYS Workbench, considering thermal and structural dynamics in the HAZ in detail. Thermal stress, strain, and deformation responses during different thermal loading conditions have been investigated by using static structural and steady-state thermal analyses. Precise meshing techniques and application of boundary conditions based on strategic relevance have been used to sufficiently replicate practical scenarios that could be presented by such welding. The results of the simulations support the importance of appropriate thermal management, giving quantifiable predictions of deformation patterns across the welded joint. This work has contributed to the improvement of predictive accuracy in welding simulations to further optimisation of welding processes, reduce post-weld rework, and enhance structural integrity for industrial fields.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
