Equation for modelling energy transfers in multi-phase flows through porous media, optimised for liquid composite moulding processes
•Using the general conservation laws for modelling flow through a porous medium is numerically intensive.•Governing laws for flow through porous media can be derived by averaging volumes containing several pores.•A volume averaged energy balance equation is derived using the averaging approach with...
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Veröffentlicht in: | International journal of heat and mass transfer 2021-12, Vol.181, p.121856, Article 121856 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •Using the general conservation laws for modelling flow through a porous medium is numerically intensive.•Governing laws for flow through porous media can be derived by averaging volumes containing several pores.•A volume averaged energy balance equation is derived using the averaging approach with the local equilibrium model.•The derived energy balance equation is implemented in a custom OpenFOAM solver and experimentally validated.•The simulation results are seen to have good agreement with the experimental results.
Liquid Composite Moulding LCM processes are increasingly popular in the aerospace and related industries for the production of high quality composite parts. Filling simulations are often used in the design of moulds for LCM processes for efficient and complete filling of the mould. This paper proposes an energy balance equation for modelling energy interactions in a typical LCM process for implementation in Computational Fluid Dynamics (CFD) tools such as Open Field Operation and Manipulation (OpenFOAM). The derivation of the energy balance is first described in detail, followed by a brief description of an additional equation to be solved to find the degree of cure for simulations involving a chemically reactive resin. For a preliminary validation, a simplified version of the energy equation is implemented in OpenFOAM and simulation results are compared to experiments. The temperatures predicted by the simulations are seen to closely match the experimentally observed temperatures. |
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ISSN: | 0017-9310 1879-2189 |
DOI: | 10.1016/j.ijheatmasstransfer.2021.121856 |