Numerical prediction of saturation in dual scale fibrous reinforcements during Liquid Composite Molding |
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| Affiliation: | 1. Depto. Matemática Aplicada, Universidad Politécnica de Valencia, Camino Vera s/n, 46022 Valencia, Spain;2. Depto. Ing. Mecánica y Materiales, Universidad Politécnica de Valencia, Camino Vera s/n, 46022 Valencia, Spain;3. Chair on Composites of High Performance (CCHP), Mechanical Engineering Department, Center of Research on Polymers and Composites (CREPEC), École Polytechnique de Montréal, Montréal H3C 3A7, Canada;1. Department of Mechanical Sciences and Engineering, Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro-ku, Tokyo 152-8552, Japan;2. Department of Mechanical Engineering, Tokyo University of Science, 2641 Yamazaki, Noda, Chiba 278-8510, Japan;1. Department of Mechanical Engineering and Center for Composite Materials, University of Delaware, Newark, DE 19716, USA;2. School of Mechanical and Aerospace Engineering, Research Center for Aerospace Parts Technology, Gyeongsang National University, Jinju, Republic of Korea;1. Research and Development Establishment (Engineers), DRDO, Pune, India;2. Aerospace Engineering, Indian Institute of Science, Bangalore, India;3. Mechanical Engineering, University of Delaware, Delaware, USA |
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| Abstract: | This paper presents a fractional flow model based on two-phase flow, resin and air, through a porous medium to simulate numerically Liquid Composites Molding (LCM) processes. It allows predicting the formation, transport and compression of voids in the modeling of LCM. The equations are derived by combining Darcy’s law and mass conservation for each phase (resin/air). In the model, the relative permeability and capillary pressure depend on saturation. The resin is incompressible and the air slightly compressible. Introducing some simplifications, the fractional flow model consists of a saturation equation coupled with a pressure/velocity equation including the effects of air solubility and compressibility. The introduction of air compressibility in the pressure equation allows for the numerical prediction of the experimental behavior at low constant resin injection flow rate. A good agreement was obtained between the numerical prediction of saturation in a glass fiber reinforcement and the experimental observations during the filling of a test mold by Resin Transfer Molding (RTM). |
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| Keywords: | B Porosity C Computational modeling E Resin Transfer Molding (RTM) |
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