Abstract

Keyhole laser beam welding (LBW) of 304L stainless steel sheets with a gap in between was numerically simulated with a three-dimensional, transient, multi-physical model for laser material processing based on the finite volume method (FVM). 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 is shown, wherein a given set of weld seam quality criteria is fulfilled by iteratively optimizing a secondary laser beam. The relatively coarse mesh, in combination with a good model calibration for 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.

Highlights

  • It is difficult to experimentally investigate the many physical phenomena involved in laser beam welding, as post-experimental investigations do not provide sufficient information on process dynamics, and in-situ observations of the transient behavior, especially inside the keyhole, are not possible on all desired time and length scales

  • It uses the volume-of-fluid method to solve multiphase problems, involving an arbitrary number of different phases combined with the possibility of dynamic mesh refinement at run-time

  • Longitudinal and cross-sections of 304L stainless steel sheets welded under the presence of a gap were used

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Summary

A Numerical Investigation of Laser Beam Welding of Stainless

Michele Buttazzoni 1,† , Constantin Zenz 1, *,† , Andreas Otto 1 , Rodrigo Gómez Vázquez 1 , Gerhard Liedl 1 and Jorge Luis Arias 2.

Introduction
Description of the Model
Model Calibration and Validation
Discussion on Mesh Density
Beam Shape Optimization
Keyhole Dynamics and Pore Formation
Conclusions and Outlook
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