4.5 Article

beamWeldFoam: Numerical simulation of high energy density fusion and vapourisation-inducing processes

Journal

SOFTWAREX
Volume 18, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.softx.2022.101065

Keywords

Advanced manufacturing; Volume-of-fluid; Heat transfer; OpenFOAM; State transition

Funding

  1. Engineering and Physical Sciences Research Council (EPSRC) [EP/T016728/1]
  2. Science Foundation Ireland (SFI) [16/RC/3872]
  3. European Regional Development Fund
  4. Irish Research Council through the Laureate programme [IRCLA/2017/45]
  5. Bekaert University Technology Centre (UTC) at University College Dublin

Ask authors/readers for more resources

High energy density advanced manufacturing processes are difficult to simulate, but the OpenFOAM solver beamWeldFoam is capable of simulating these processes using specific mathematical models and algorithms.
High energy density advanced manufacturing processes, such as power beam welding and additive manufacturing, are notoriously difficult to simulate. Such processes initiate fusion, and vapourisation, state transitions in their respective (normally metallic) substrates generating complex metallic flows over incredibly short time scales. To mathematically model such processes, equations describing the conservation of momentum, conservation of energy, and an equation that describes the evolution of the metallic substrate interface must be considered. In this work, we present beamWeldFoam, an OpenFOAM solver capable of simulating these high energy density advanced manufacturing processes. In beamWeldFoam, the metallic substrate, and shielding gas phase, are treated as incompressible. The volumetric dilation due to the vapourisation state transition is neglected, instead, a phenomenological recoil pressure term is used to capture the contribution to the momentum and energy fields due to vaporisation events. beamWeldFoam is released under the GNU general public license, and its source code is available on Github. Crown Copyright (C) 2022 Published by Elsevier B.V.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available