A. Rezaei, E. Ranjbarnodeh, M. Iranmanesh,
Volume 1, Issue 1 (Journal OF Welding Science and Technology of Iran 2016)
Abstract
Fusion welding is widely used in heavy industries to join different parts together. But sometimes welding-induced distortions cause problems like misalignment during assembling and make costs to remove them. Thus it is imperative to predict and mitigate them to improve weldments quality and also reduce in fabrication costs. This study at first will introduce inherent deformation method for prediction of welding-induced distortion. In following a relatively large panel will be simulated by finite element software ANSYS and its distortion will be calculated. The results will be compared by experimental measurement. Afterward this investigation will present an efficient welding sequence which produce minimal distortion.
S. Ansari, E. Ranjbarnodeh, M. Iranmanesh,
Volume 2, Issue 2 (Journal OF Welding Science and Technology of Iran 2016)
Abstract
Studies on welding process of Aluminium weldments shows that post-weld residual stress and deformation are influential on structure efficiency and there are different variable which affect these stresses and deformation. In this study the effect of geometrical variables and welding sequence on residual stresses and deformation in Aluminium H321 have investigated by the finite element software Ansys. Thermo elastic-plastic model was verified by metallography experiment and measurement of post-weld deformation afterward, weld leg, penetration depth and welding sequence were optimized to minimize the distortion. It was concluded that weld-volume increase post-weld distortion and it can be minimize by choosing an appropriate weld sequence
S. Shadkam, E. Ranjbar Nodeh, M. Iranmanesh,
Volume 5, Issue 2 ((Journal OF Welding Science and Technology) 2020)
Abstract
Increasingly, Welding is used in industry for assembled various products, such as ships, cars, trains and bridges. Welding distortion often results such as lack of accuracy during assembly and will have increases manufacturing costs. So, predict and reduce welding distortion is very important to improve the quality of welded structures. In this study, firstly, a prediction method of welding distortion, which merges thermo-elastic-plastic finite element method (FEM) and large deformation elastic FEM based on inherent strain theory, was developed. Secondly, the inherent deformations of weld joints in a large thin plate panel structure were calculated using the thermo-elastic-plastic FEM and their specifications were also examined. Then, using the obtained inherent deformations, the usefulness of the proposed elastic FEM was demonstrated through the prediction of welding distortion in the large thin plate panel structures. Finally, the influences of welding sequence on distortion were investigated. The results of elastic analysis shows distortion in edges and interior parts of the panels, that can be reduced by changing welding sequence to symmetrical welding sequence.
