| 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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Sijbers, Jan
University of Antwerp
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (4/4 displayed)
- 2022Evaluation of deeply supervised neural networks for 3D pore segmentation in additive manufacturingcitations
- 2019Fiber assignment by continuous tracking for parametric fiber reinforced polymer reconstructioncitations
- 2019Simulated grating-based x-ray phase contrast images of CFRP-like objects
- 2018Parametric reconstruction of glass fiber-reinforced polymer composites from X-ray projection data—A simulation studycitations
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article
Simulated grating-based x-ray phase contrast images of CFRP-like objects
Abstract
<jats:p> Because of their microstructure, carbon fibre reinforced polymers outperform conventional materials in many aspects. Thesematerials are, given the low x-ray absorption contrast they provide, ideally suited for phase contrast x-ray computed tomography.For system prototyping and for benchmarking and testing acquisition and reconstruction procedures, computer simulations are avaluable tool. In this paper, we propose the application of an alternative simulation strategy that unites Monte Carlo simulationswith numerical wave optics and involves detailed modelling of the internal carbon fibre reinforced polymer structure down to theindividual fibre scale. </jats:p>