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

Type
Articles dans des revues avec comité de lecture
Author
AMMAR, Amine
211916 Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
GHNATIOS, 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]
CUETO, Elías
161327 Aragón Institute of Engineering Research [Zaragoza] [I3A]
CHINESTA, 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

Abstract

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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