4.7 Article

A Numerical Thermo-Chemo-Flow Analysis of Thermoset Resin Impregnation in LCM Processes

Journal

POLYMERS
Volume 15, Issue 6, Pages -

Publisher

MDPI
DOI: 10.3390/polym15061572

Keywords

liquid composite moulding; CFD; filling stage; curing stage; cure kinetics; rheology

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This paper presents a numerical framework for modelling and simulating convection-diffusion-reaction flows in liquid composite moulding (LCM). The model incorporates cure kinetics and rheological characteristics of thermoset resin impregnation. The simulations show its ability to provide information on flow-front, viscosity development, degree of cure, and rate of reaction at once. The model has been validated with a comparative analysis, showing good agreement with previous research findings.
This paper presents a numerical framework for modelling and simulating convection-diffusion-reaction flows in liquid composite moulding (LCM). The model is developed in ANSYS Fluent with customised user-defined-functions (UDFs), user-defined-scalar (UDS), and user-defined memory (UDM) codes to incorporate the cure kinetics and rheological characteristics of thermoset resin impregnation. The simulations were performed adopting volume-of-fluid (VOF)-a multiphase flow solution-based on finite volume method (FVM). The developed numerical approach solves Darcy's law, heat transfer, and chemical reactions in LCM process simultaneously. Thereby, the solution scheme shows its ability to provide information on flow-front, viscosity development, degree of cure, and rate of reaction at once unlike existing literature that commonly focuses on impregnation stage and cure stage in isolation. Furthermore, it allows online monitoring, controlled boundary conditions, and injection techniques (for design of manufacturing) during the mould filling and curing stages. To examine the validity of the model, a comparative analysis was carried out for a simple geometry, in that the numerical results indicate good agreement-3.4% difference in the degree of cure compared with previous research findings.

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