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Shrinkage porosity prediction empowered by physics-based and data-driven hybrid models

Article dans une revue avec comité de lecture
Auteur
ccNOURI, Madyen
ccARTOZOUL, Julien
CAILLAUD, Aude
211916 Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
ccAMMAR, Amine
ccCHINESTA SORIA, Francisco
KÖSER, Ole
564849 ESI Group [ESI Group]

URI
http://hdl.handle.net/10985/23271
DOI
10.1007/s12289-022-01677-5
Date
2022-03-25
Journal
International Journal of Material Forming

Résumé

Several defects might affect a casting part and degrade its quality and the process efficiency. Porosity formation is one of the major defects that can appear in the resulting product. Thus, several research studies aimed at investigating methods that minimize this anomaly. In the present work, a porosity prediction procedure is proposed to assist users at optimizing porosity distribution according to their application. This method is based on a supervised learning approach to predict shrinkage porosity from thermal history. Learning data are generated by a casting simulation software operating for different process parameters. Machine learning was coupled with a modal representation to interpolate thermal history time series for new parameters combinations. By comparing the predicted values of local porosity to the simulated results, it was demonstrated that the proposed model is efficient and can open perspectives in the casting process optimization.

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Cette publication figure dans le(s) laboratoire(s) suivant(s)

  • Laboratoire Angevin de Mécanique, Procédés et InnovAtion (LAMPA)
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)

Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • Modelling of shrinkage formation in casting by the phase field method 
    Article dans une revue avec comité de lecture
    JALOULI, Zahra; CAILLAUD, Aude; ARTOZOUL, Julien; ccAMMAR, Amine; EL-ABIDI, Ahmed; FETTAH, Ahmed (Springer Science and Business Media LLC, 2021-01-05)
    Most commercial softwares simulating casting process use a scalar field to quantify the shrinkage on final parts. The repartition of this scalar is used to localize shrinkage in the part. In this work, the objective is ...
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    Article dans une revue avec comité de lecture
    GRMELA, Miroslav; MAITREJEAN, Guillaume; ccCHINESTA SORIA, Francisco; ccAMMAR, Amine (Springer Verlag, 2013)
    Smoluchowski kinetic equation governing the time evolution of the pair correlation function of rigid sphericalparticles suspended in a Newtonian fluid is extended to include particle migration. The extended kinetic equation ...
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    ALFARO, Icíar; GONZALEZ, David; BORDEU, Felipe; LEYGUE, Adrien; ccAMMAR, Amine; ccCUETO, Elias; ccCHINESTA SORIA, Francisco (Springer Verlag, 2014)
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    AGHIGHI, Mohammad Saeid; ccAMMAR, Amine; METIVIER, Christel; NORMANDIN, Magdeleine; ccCHINESTA SORIA, Francisco (Elsevier, 2013)
    This paper focuses on the non-incremental solution of transient coupled non-linear models, in particular the one related to the Rayleigh–Bénard flow problem that models natural thermal convection. For this purpose we are ...
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    Article dans une revue avec comité de lecture
    AGHIGHI, Mohammad Saeid; ccAMMAR, Amine; METIVIER, Christel; ccCHINESTA SORIA, Francisco (Emerald, 2015)
    Purpose – The purpose of this paper is to focus on the advanced solution of the parametric non-linear model related to the Rayleigh-Benard laminar flow involved in the modeling of natural thermal convection. This flow is ...

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