| People | Locations | Statistics |
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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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Lévy, Arthur
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (27/27 displayed)
- 2024Microstructural analysis of unidirectional composites: a comparison of data reduction schemes
- 2024Carbon fibre paek prepreg micrograph analysis using weka deep learning methodology
- 2023Welding of high-performance thermoplastics and composites: from material properties tomechanical strength of assemblies
- 2023Characterization of driving mechanisms involved in deconsolidation of thermoplastic composite laminates
- 2022Effects of heat transfer coefficient variations on composite curingcitations
- 2022Thick thermoplastic composite laminate consolidation: Experimental observations and numerical approachescitations
- 2022Online characterization of fiber-reinforced thermoplastic composite deconsolidation
- 2021Coalescence in fused filament fabrication process: thermo-dependent characterization of high-performance polymer propertiescitations
- 2021Composite manufacturing processes: modeling, characterization and monitoring for a better control of final quality
- 2021Experimental correlation of rheological relaxation and interface healing times in welding thermoplastic PEKK compositescitations
- 2020Adhesion of High Temperature Thermoplastic Compositescitations
- 2019Vacuum-bagged composite laminate forming processes: Predicting thickness deviation in complex shapescitations
- 2018A study on amplitude transmission in ultrasonic welding of thermoplastic compositescitations
- 2018A study on amplitude transmission in ultrasonic welding of thermoplastic compositescitations
- 2018Out-of-Autoclave Prepreg Processingcitations
- 2017On the Alternate Direction Implicit (ADI) Method for Solving Heat Transfer in Composite Stampingcitations
- 2017Compression molding of Carbon/Polyether ether ketone composites: Squeeze flow behavior of unidirectional and randomly oriented strandscitations
- 2016Compression moulding of Carbon/PEEK Randomly-Oriented Strands composites: A 2D Finite Element model to predict the squeeze flow behaviourcitations
- 2015Interstrand Void Content evolution in compression moulding of Randomly Oriented Strands (ROS) of thermoplastic composites
- 2014Ultrasonic welding of thermoplastic composites: a numerical analysis at the mesoscopic scale relating processing parameters, flow of polymer and quality of adhesioncitations
- 2014Modeling of the heating phenomena in ultrasonic welding of thermoplastic composites with flat energy directorscitations
- 2011Ultrasonic Welding of Thermoplastic Composites, Modeling of the Process Using Time Homogenization.citations
- 2011A level set based approach for the finite element simulation of a forming process involving multiphysics coupling: Ultrasonic welding of thermoplastic compositescitations
- 2010Modeling and simulation of vibrating flow. Application to the ultrasonic welding of thermoplastic matrix composites.
- 2009Développement d'un code éléments finis pour simuler le soudage par ultrasons de matériaux composites = Development of a Finite element code for simulating the ultrasonic welding of composite materials
- 2008Ultrasonic Welding of Thermoplastic Composites, Modeling and Simulation of the Process
- 2008Ultrasonic welding of thermoplastic composites, modeling of the processcitations
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article
On the Alternate Direction Implicit (ADI) Method for Solving Heat Transfer in Composite Stamping
Abstract
Thermostamping of thermoplastic matrix composites is a process where a preheated blank is rapidly shaped in a cold matching mould. Predictive modelling of the main physical phenomena occurring in this process requires an accurate prediction of the temperature field. In this paper, a numerical method is proposed to simulate this heat transfer. The initial three-dimensional heat equation is handled using an additive decomposition, a thin shell assumption, and an operator splitting strategy. An adapted resolution algorithm is then presented. It results in an alternate direction implicit decomposition: the problem is solved successively as a 2D surface problem and several onedimensional through thickness problems. The strategy was fully validated versus a 3D calculation on a simple test case and the proposed strategy is shown to enable a tremendous calculation speed up. The limits of applicability of this method are investigated with two parametric studies, one on the thickness to width ratio and the other one on the effect of curvature. These conditions are usually fulfilled in industrial cases. Finally, even though the method was developed under linear assumption (constant material properties), the strategy validity is extended to multiply, temperature dependant (nonlinear) case using an industrial test case. Because of the standard methods involved, the proposed ADI method can readily be implemented in existing software.