| Téléchargement | - Voir le manuscrit accepté : Solidification model calibration for predicting microstructure fields in HPVDC Aural™-2 (PDF, 1.6 Mio)
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| Auteur | Rechercher : Gariépy, Alexandre1; Rechercher : Raymond, Vincent1; Rechercher : Pineau, Frédéric1; Rechercher : Bouchard, Dominique1; Rechercher : Tu, Siyu1; Rechercher : Samuel, Ehab1 |
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| Affiliation | - Conseil national de recherches du Canada. Automobile et les transports de surface
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| Format | Texte, Article |
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| Conférence | 2021 NADCA Die Casting Congress and Exposition, October 4-6, 2021 |
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| Résumé | In this paper, the conventional solidification model available in the ProCAST® software is tested and calibrated to predict the microstructure of an aluminium alloy stepped plate produced by the high-pressure vacuum die casting process. An experimental tooling was built to cast Aural™-2 specimens at 1.8, 3.0 and 4.7 mm thicknesses, while measuring the subsurface die temperature gradient at two locations. The measured die temperatures were then used to determine the timedependent interfacial heat transfer coefficients required as input to calculate the cooling rate. The microstructures of 1.8 and 4.7 mm sections were characterized through-thickness using electron backscatter diffraction imaging and energy-dispersive spectroscopy for both the α-Al and eutectic regions. A finite element model was set up in ProCAST® using small subdomains to efficiently calculate the solidification behavior in each region and extract the predicted microstructural characteristic lengths. The model was integrated into an iterative external optimization loop operating on Python to calibrate the six material parameters of the solidification model for this alloy by minimizing the error between the predicted and measured dendritic (α-Al) and eutectic grain sizes. With these optimized parameters, the prediction accuracy was tested for the skin-tocore profile in two section thicknesses typical of structural die casting. Such a model could be used as part of a wider numerical toolbox to predict the location-specific service strength and ductility for structural die castings at the design stage, before the tooling is built. |
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| Date de publication | 2021-10-04 |
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| Maison d’édition | North American Die Casting Association |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro du CNRC | NRC-AST-2021-2022-002 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 30823892-b7b3-49fa-907a-6f481eb2eef1 |
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| Enregistrement créé | 2021-12-07 |
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| Enregistrement modifié | 2021-12-07 |
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