Buttazzoni, M.; Zenz, C.; Otto, A.; Gómez Vázquez, R.; Liedl, G.; Arias, J.L. A Numerical Investigation of the Laser Beam Welding of Stainless Steel Sheets with a Gap. Appl. Sci.2021, 11, 2549.
Buttazzoni, M.; Zenz, C.; Otto, A.; Gómez Vázquez, R.; Liedl, G.; Arias, J.L. A Numerical Investigation of the Laser Beam Welding of Stainless Steel Sheets with a Gap. Appl. Sci. 2021, 11, 2549.
Buttazzoni, M.; Zenz, C.; Otto, A.; Gómez Vázquez, R.; Liedl, G.; Arias, J.L. A Numerical Investigation of the Laser Beam Welding of Stainless Steel Sheets with a Gap. Appl. Sci.2021, 11, 2549.
Buttazzoni, M.; Zenz, C.; Otto, A.; Gómez Vázquez, R.; Liedl, G.; Arias, J.L. A Numerical Investigation of the Laser Beam Welding of Stainless Steel Sheets with a Gap. Appl. Sci. 2021, 11, 2549.
Abstract
Keyhole laser beam welding (LBW) of stainless steel sheets with a gap in between is numerically simulated with a three-dimensional, transient multi-physical model for laser material processing. At first, the model’s ability to reproduce experimental results on a relatively coarse computational mesh within reasonable computing time, so as to serve as process optimization tool, is presented. An example of process optimization, where a given set of weld seam quality criteria is fulfilled by iteratively optimizing a secondary laser beam, is shown. The relatively coarse mesh, in combination with a good model calibration to the experimental conditions, allows for sufficiently fast simulations to use this approach for optimization tasks. Finally, using a finer spatial and temporal discretization, the dynamic processes in the vicinity of the keyhole leading to the formation of pores are investigated. The physical phenomena predicted by the simulation are coherent with experimental observations found in literature.
Keywords
laser beam welding; welding with gap; keyhole dynamics; pore formation; multiphysical simulation; CFD; process optimization; mesh refinement
Subject
Physical Sciences, Optics and Photonics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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