| Téléchargement | - Voir le manuscrit accepté : Choosing an optimal austenitization submodel using Bayesian model selection (PDF, 759 Kio)
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| DOI | Trouver le DOI : https://doi.org/10.1007/s11661-022-06722-1 |
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| Auteur | Rechercher : Zhao, Boxuan; Rechercher : Sipkens, Timothy A.1; Rechercher : Daun, Kyle J. |
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| Affiliation | - Conseil national de recherches du Canada. Centre de recherche en métrologie
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| Format | Texte, Article |
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| Résumé | Ultra-high strength steel (UHSS) alloys such as aluminized 22MnB5 are used to produce automotive parts through hot stamping. A thermometallurgical model that predicts the blank-heating profile and austenitization inside a roller hearth furnace is needed to maximize process efficiency while ensuring that the blanks are completely austenitized. Three competing austenitization kinetics models: a Johnson–Mehl–Avrami–Kohnogorov (JMAK) type model, an internal state variable (ISV) model, and a phenomenological model, are evaluated as candidate metallurgical submodels, using dilatometry data and Bayesian model selection. This technique has the capability of quantitatively assessing the trade-off between accuracy and complexity. The ISV model is recommended by the Bayesian model selection technique. |
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| Date de publication | 2022-05-26 |
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| Maison d’édition | Springer Nature
The Minerals, Metals & Materials Society
ASM International 2022 |
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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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| 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 | d484f5da-f2c7-4711-a405-0e711c883a4b |
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| Enregistrement créé | 2023-06-28 |
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| Enregistrement modifié | 2023-06-30 |
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