Sensitivity to welding positions and parameters in GTA welding with a 3D multiphysics numerical model - Aix-Marseille Université Accéder directement au contenu
Article Dans Une Revue Numerical Heat Transfer, Part A Applications Année : 2017

Sensitivity to welding positions and parameters in GTA welding with a 3D multiphysics numerical model

Résumé

A three-dimensional numerical model of Gas Tungsten Arc welding has been developed to predict weld a bead shape, fluid flow in the weld pool, as well as thermal field in the workpiece. This model accounts for coupled electromagnetism, heat transfer, and fluid flow with a moving free surface to simulate different welding positions. The solution strategy of the coupled non-linear equations that has been implemented in the CastɜM finite-element code is also discussed. The capabilities of our numerical model are first assessed by comparison to the experimental results. Then, as fluid flows in a weld pool play a prominent role in the weld quality as well as in the final shape of the weld bead seam, the effect of various welding positions on the weld pool shape has been investigated. This constitutes the main novelty of this work. The performed computations point out a strong sensitivity to gravity on the weld pool shape depending on assisting or opposing the weld direction with respect to gravity. This study contributes to assessing the model capabilities that provide a deeper physical insight into a more efficient optimization of welding processes.
Fichier principal
Vignette du fichier
Preprint_revised_25octo2016.pdf (1.98 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01791099 , version 1 (11-06-2021)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

Citer

Minh Chien Nguyen, Marc Medale, Olivier Asserin, Stephane Gounand, Philippe Gilles. Sensitivity to welding positions and parameters in GTA welding with a 3D multiphysics numerical model. Numerical Heat Transfer, Part A Applications, 2017, 71 (3), pp.233 - 249. ⟨10.1080/10407782.2016.1264747⟩. ⟨hal-01791099⟩
149 Consultations
141 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More