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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
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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
The identification of effective thermal conductivity for fibrous reinforcement composite by inverse method
Abstract
<jats:p> In the present work, the thermal conductivity of a composite material is determined by inverse analysis of the heat conduction phenomenon in resin transfer molding process. The Gauss–Newton–Levenberg–Marquardt method was utilized to identify the thermal conductivities of fibrous reinforcement. Knowing the boundary conditions, the thermal conductivity can be deduced from the temperature values at some given positions through the part. Starting from an initial estimate of thermal conductivity, the inverse method begins by solving the direct problem, i.e. the heat equation. The solution gives the temperature field everywhere in the composite sample. Calculated temperatures are then compared with analytical temperatures based on a criterion. Conductivity is modified iteratively so as to minimize this criterion until the desired accuracy is achieved. The identified thermal conductivity by the inverse methodology was validated with experimental results of epoxy composites with carbon nanotube and chopped carbon fibers. Satisfactory agreement was obtained. Furthermore, this method offer the possibility to determinate conductivity of several part of composite at the same time, and could be generalized for bio composite, so it can be considered as accurate and economically efficient technique in the prediction of thermal conductivity of composite. </jats:p>