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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Ward, Mark
University of Birmingham
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (25/25 displayed)
- 2021Metallurgical modelling of Ti-6Al-4V for welding applicationscitations
- 2020Microstructural modelling of thermally-driven β grain growth, lamellae & martensite in Ti-6Al-4Vcitations
- 2019Microstructural modelling of the α+β phase in Ti-6Al-4V:citations
- 2019Modelling of the heat-affected and thermomechanically affected zones in a Ti-6Al-4V inertia friction weldcitations
- 2017Study of as-cast structure formation in Titanium alloy
- 2017Keyhole formation and thermal fluid flow-induced porosity during laser fusion welding in titanium alloyscitations
- 2016Porosity formation in laser welded Ti-6Al-4V Alloy: modelling and validation
- 2016Linking a CFD and FE analysis for Welding Simulations in Ti-6Al-4V
- 2016Calculating the energy required to undergo the conditioning phase of a titanium alloy inertia friction weldcitations
- 2016An integrated modelling approach for predicting process maps of residual stress and distortion in a laser weldcitations
- 2016Defect formation and its mitigation in selective laser melting of high γ′ Ni-base superalloyscitations
- 2016Technology scale-up in metal additive manufacture
- 2015Linear friction welding of Ti6Al4V: experiments and modellingcitations
- 2015Validation of a Model of Linear Friction Welding of Ti6Al4V by Considering Welds of Different Sizescitations
- 2015On the role of melt flow into the surface structure and porosity development during selective laser meltingcitations
- 2015Influence of processing conditions on strut structure and compressive properties of cellular lattice structures fabricated by selective laser meltingcitations
- 2013Determination of the magnitude of interfacial air-gap and heat transfer during ingot casting into permanent metal moulds by numerical and experimental techniquescitations
- 2013A multiscale 3D model of the Vacuum Arc remelting processcitations
- 2012A multi-scale 3D model of the vacuum arc remelting processcitations
- 2011Linear friction welding of Ti-6Al-4V: Modelling and validationcitations
- 2010Microstructure and corrosion of Pd-modified Ti alloys produced by powder metallurgycitations
- 2009An analysis of the use of magnetic source tomography to measure the spatial distribution of electric current during vacuum arc remeltingcitations
- 2008Effect of Variation in Process Parameters on the Formation of Freckle in INCONEL 718 by Vacuum Arc Remeltingcitations
- 2004The effect of VAR process parameters on white spot formation in INCONEL 718citations
- 2004A simple transient numerical model for heat transfer and shape evolution during the production of rings by centrifugal spray depositioncitations
Places of action
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document
A multi-scale 3D model of the vacuum arc remelting process
Abstract
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.