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On the effective conductivity and the apparent viscosity of a thin rough polymer interface using PGD‐based separated representations

Article dans une revue avec comité de lecture
Auteur
ccGHNATIOS, Chady
533922 Notre Dame University-Louaize [Lebanon] [NDU]
DELPLACE, Frank
564849 ESI Group [ESI Group]
BARASINSKI, Anais
483835 Institut des sciences analytiques et de physico-chimie pour l'environnement et les materiaux [IPREM]
DUVAL, Jean-Louis
564849 ESI Group [ESI Group]
ccCUETO, Elias
161327 Aragón Institute of Engineering Research [Zaragoza] [I3A]
ccAMMAR, Amine
211916 Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
ccCHINESTA SORIA, Francisco
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]

URI
http://hdl.handle.net/10985/19486
DOI
10.1002/nme.6448
Date
2020
Journal
International Journal for Numerical Methods in Engineering

Résumé

Composite manufacturing processes usually proceed from preimpregnated preforms that are consolidated by simultaneously applying heat and pressure, so as to ensure a perfect contact compulsory for making molecular diffusion possible. However, in practice, the contact is rarely perfect. This results in a rough interface where air could remain entrapped, thus affecting the effective thermal conductivity. Moreover, the interfacial melted polymer is squeezed flowing in the rough gap created by the fibers located on the prepreg surfaces. Because of the typical dimensions of a composite prepreg, with thickness orders of magnitude smaller than its other in-plane dimensions, and its surface roughness having a characteristic size orders of magnitude smaller than the prepreg thickness, high-fidelity numerical simulations for elucidating the impact of surface and interface roughness remain today, despite the impressive advances in computational availabilities, unattainable. This work aims at elucidating roughness impact on heat conduction and the effective viscosity of the interfacial polymer squeeze flow by using an advanced numerical strategy able to reach resolutions never attained until now, a sort of numerical microscope able to attain the scale of the smallest geometrical detail.

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Description:
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Fin d'embargo:
2021-06-15
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Documents liés

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  • Advanced separated spatial representations for hardly separable domains 
    Article dans une revue avec comité de lecture
    GHNATIOS, Chady; ccABISSET-CHAVANNE, Emmanuelle; ccAMMAR, Amine; ccCUETO, Elias; ccDUVAL, Jean-Louis; ccCHINESTA SORIA, Francisco (Elsevier, 2019)
    This work aims at proposing a new procedure for parametric problems whose separated representation has been considered difficult, or whose SVD compression impacted the results in terms of performance and accuracy. The ...
  • Incremental dynamic mode decomposition: A reduced-model learner operating at the low-data limit 
    Article dans une revue avec comité de lecture
    REILLE, Agathe; HASCOET, Nicolas; ccCUETO, Elias; DUVAL, Jean-Louis; KEUNINGS, Roland; ccGHNATIOS, Chady; ccAMMAR, Amine; ccCHINESTA SORIA, Francisco (Elsevier Masson, 2019)
    The present work aims at proposing a new methodology for learning reduced models from a small amount of data. It is based on the fact that discrete models, or their transfer function counterparts, have a low rank and then ...
  • Fast Computation of Multi-Parametric Electromagnetic Fields in Synchronous Machines by Using PGD-Based Fully Separated Representations 
    Article dans une revue avec comité de lecture
    SANCARLOS, Abel; ccGHNATIOS, Chady; DUVAL, Jean-Louis; ZERBIB, Nicolas; ccCUETO, Elias; ccCHINESTA SORIA, Francisco (MDPI AG, 2021)
    A novel Model Order Reduction (MOR) technique is developed to compute high-dimensional parametric solutions for electromagnetic fields in synchronous machines. Specifically, the intrusive version of the Proper Generalized ...
  • Spurious-free interpolations for non-intrusive PGD-based parametric solutions: Application to composites forming processes 
    Article dans une revue avec comité de lecture
    ccCUETO, Elias; FALCO, Antonio; DUVAL, Jean-Louis; ccGHNATIOS, Chady; ccCHINESTA SORIA, Francisco (Springer Science and Business Media LLC, 2020)
    Non-intrusive approaches for the construction of computational vademecums face different challenges, especially when a parameter variation affects the physics of the problem considerably. In these situations, classical ...
  • Some applications of compressed sensing in computational mechanics: model order reduction, manifold learning, data-driven applications and nonlinear dimensionality reduction 
    Article dans une revue avec comité de lecture
    ccCUETO, Elias; DUVAL, Jean-Louis; IBAÑEZ, Ruben; ccABISSET-CHAVANNE, Emmanuelle; ccAMMAR, Amine; ccCHINESTA SORIA, Francisco (Springer Verlag, 2019)
    Compressed sensing is a signal compression technique with very remarkable properties. Among them, maybe the most salient one is its ability of overcoming the Shannon–Nyquist sampling theorem. In other words, it is able to ...

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