A multi-scale 3D model of the vacuum arc remelting process
Pericleous, Kyriacos, Djambazov, Georgi, Yuan, Lang, Ward, Mark and Lee, Peter D. (2012) A multi-scale 3D model of the vacuum arc remelting process. In: 2012 TMS Supplemental Proceedings: Materials Properties, Characterization, and Modeling. J. Wiley & Sons Inc, USA, pp. 291-298. ISBN 978-1-11829-609-7Full text not available from this repository.
A multi-scale model of the VAR process was developed to simulate unsteady phenomena within the ingot melt pool due to arc motion and the resulting effects on dendritic microstructure. External magnetic field and surface current measurements were used as boundary conditions, to determine the trajectory of the arcs between electrode and ingot and between ingot and sidewalls. The interactions between magnetic field, turbulent metal flow and heat transfer were modeled using CFD techniques and this "macro" model was linked to a micro model, to resolve the evolving dendritic microstructure, and to establish a relationship between operational parameters and microstructure defects. Arc-driven solute convection in the mushy zone leading to local remelting and changes in local Rayleigh number provided an indicator of when fluid flow channels (freckles) will initiate within the mushy zone. Particle tracking was further used, to characterize the trajectory and dissolution of inclusions entering the melt, causing "white spot" defects.
|Item Type:||Conference Proceedings|
|Title of Proceedings:||2012 TMS Supplemental Proceedings: Materials Properties, Characterization, and Modeling|
|Additional Information:||Originally presented 2012 TMS 141st Annual Meeting & Exhibition (The Minerals, Metals & Materials Society), March 11-15, 2012, Orlando Florida|
|Uncontrolled Keywords:||Special alloys, numerical simulation, VAR defects, arc behavior|
|Subjects:||T Technology > T Technology (General)|
|Pre-2014 Departments:||School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
|Last Modified:||14 Oct 2016 09:19|
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