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Permeability prediction for the meso–macro coupling in the simulation of the impregnation stage of Resin Transfer Moulding
Authors:B Verleye  SV Lomov  A Long  I Verpoest  D Roose
Affiliation:1. K.U.Leuven, Dept. Computer Science, Celestijnenlaan 200A, B-3001 Leuven, Belgium;2. K.U.Leuven, Dept. of Metallurgy and Materials Eng., Kasteelpark Arenberg 44, B-3001 Leuven, Belgium;3. Univ. of Nottingham, Faculty of Engineering, Division of Materials, Mechanics and Structures, University Park, Nottingham NG7 2RD, UK;1. Center of Sustainable Process Engineering (CoSPE), Department of Chemical Engineering, Hankyong National University, 327 Jungang-ro, Anseong-si, Gyeonggi-do 17579, Republic of Korea;2. Hyosung R&D Business Lab., Hyosung Corporation, 74 Simin-daero, Dongan-gu, Anyang-si, Gyeonggi-do 14080, Republic of Korea;1. Institute of Polymer Engineering, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Klosterzelgstrasse. 2, 5210 Windisch, Switzerland;2. Institute of Polymer Nanotechnology, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Klosterzelgstrasse. 2, 5210 Windisch, Switzerland;3. Complex Materials Group, Department of Materials, ETH Zürich, 8093 Zurich, Switzerland;4. Institute of Polymer Composites, Hamburg University of Technology, Denickestrasse 15, 21073 Hamburg, Germany
Abstract:The impregnation stage of the Resin Transfer Moulding process can be simulated by solving the Darcy equations on a mould model, with a ‘macro-scale’ finite element method. For every element, a local ‘meso-scale’ permeability must be determined, taking into account the local deformation of the textile reinforcement. This paper demonstrates that the meso-scale permeability can be computed efficiently and accurately by using meso-scale simulation tools. We discuss the speed and accuracy requirements dictated by the macro-scale simulations. We show that these requirements can be achieved for two meso-scale simulators, coupled with a geometrical textile reinforcement modeller. The first solver is based on a finite difference discretisation of the Stokes equations, the second uses an approximate model, based on a 2D simulation of the flow.
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