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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Saad, Aouatif
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2020Thermal Characterization and Improvement of Curing Stage in Resin Transfer Molding Processcitations
- 2018An Optimized Control Volume/Finite Element Method (CV/FEM) for Non-Isothermal Liquid Composite Molding (LCM) Processcitations
- 2014The identification of effective thermal conductivity for fibrous reinforcement composite by inverse methodcitations
- 2014The identification of effective thermal conductivity for fibrous reinforcement composite by inverse methodcitations
- 2012Numerical simulation of thickness variation effect on resin transfer molding processcitations
- 2012Optimization of the cycle time in resin transfer molding process by numerical simulationcitations
- 2011A fast computational model to the simulation of non‐isothermal mold filling process in resin transfer moldingcitations
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article
Numerical simulation of thickness variation effect on resin transfer molding process
Abstract
<jats:title>Abstract</jats:title><jats:p>In this work, a computer model has been developed to investigate the effect of reinforcement thickness variation and edge effect on infiltration and mold filling in resin transfer molding (RTM) process. The developed code is able to predict the flow front location of the resin, the pressure, and the temperature distribution at each time step in a mold with complex geometries. It can also optimize the positioning of injection ports and vents. The filling stage is simulated in a full two‐dimensional space by using control volume/finite element method CV/FEM and based upon an appropriate filling algorithm. Results show that the injection time as well as flow front progression depends on the edge effect, the variation of reinforcement thickness, and the position of injection ports; this highlights that the inclusion of these effects in RTM simulation is of definite need for the better prediction and optimization of the process parameters. The validity of our developed model is evaluated in comparison with analytical solutions for simple geometries, and excellent agreements are observed. POLYM. COMPOS., 2012. © 2011 Society of Plastics Engineers</jats:p>