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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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Kronsteiner, Johannes
in Cooperation with on an Cooperation-Score of 37%
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Publications (5/5 displayed)
- 2024In situ conductometry for studying the homogenization of Al-Mg-Si alloys and predicting extrudate grain structure through machine learning
- 2024Modeling of Texture Development during Metal Forming Using Finite Element Visco-Plastic Self-Consistent Modelcitations
- 2024Parameter study of extrusion simulation and grain structure prediction for 6xxx alloys with varied Fe contentcitations
- 2023Wire arc additive manufacturing of light metals: From experimental investigation to numerical process simulation and microstructural modelingcitations
- 2017Recent Advances in Aluminium Casting Simulation: Evolving Domains & Dynamic Meshing
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document
Recent Advances in Aluminium Casting Simulation: Evolving Domains & Dynamic Meshing
Abstract
Advanced dynamic mesh and evolving-domain numerical techniques along with carefully-designed experimental work have been used herein to evaluate an optimised setup for casting process of aluminium alloys. One of the main contributions of this paper is to show the benefits of using novel dynamically discretized domain scheme based on thermal energy concept. A comprehensive theoretical study along with a series of carefully-designed experimental programs/simulation runs have been carried out to investigate the continuous casting process. The basic formulations and also algorithms of the proposed method are presented in a graphical manner where the results are extended further to show a full comparative study.