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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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Ayadi, Abderrahmane
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2024Fiber Reinforced Thermoplastic Composites: Processing/Structure/Performance Inter-relationships, 2nd Edition
- 2024Assessing Intra-Bundle Impregnation in Partially Impregnated Glass Fiber-Reinforced Polypropylene Composites Using a 2D Extended-Field and Multimodal Imaging Approach
- 2024SYNERGISTIC STRATEGIES IN MANUFACTURING OF WOVEN GLASS FIBRE AND POLYPROPYLENE COMPOSITES: STAGED- COMPACTION AND MULTI-MODAL IMAGING FOR POROSITY QUANTIFICATION
- 2024Investigating porosity and fibre bundle deformation in thermoplastic composite plates through 2D multi-modal imaging techniques
- 2023Fiber Reinforced Thermoplastic Composites: Processing/Structure/Performance Inter-relationships
- 2022Assessment of heat-induced errors in stereo-DIC measurements within the range of polymer thermoforming temperatures
- 2021ADAPTIVE APPROACH FOR SEGMENTATION OF LOW-CONTRAST µCT IMAGES IN THE CASE OF PARTIALLY IMPREGNATED WEFT-KNITTED COMMINGLED YARN COMPOSITES
- 2019Analysis of impregnation mechanism of weft-knitted commingled yarn composites by staged consolidation and laboratory X-ray computed tomographycitations
- 2017Assessment of the elongational properties of HIPS membranes based on full-field strain measurements during positive thermoforming
- 2016Large-Scale X-Ray Microtomography Analysis of Fiber Orientation in Weld Line of Short Glass Fiber Reinforced Thermoplastic and Related Elasticity Behaviorcitations
- 2016Determination of orthotropic properties of glass fibre reinforced thermoplastics using X-ray tomography and multiscale finite element computationcitations
- 2016Modélisation et analyses expérimentales basées sur la caractérisation microstructurale par imageries à rayons X : application aux composites thermoplastiques renforcés par des fibres de verre courtes ; Modelling and experimental analyses based on microstructural characterisation by X ray imaging : application to thermoplastic composites reinforced with short glass fibres
- 2015An original approach to assess elastic properties of a short glass fibre reinforced thermoplastic combining X-ray tomography and finite element computationcitations
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article
Analysis of impregnation mechanism of weft-knitted commingled yarn composites by staged consolidation and laboratory X-ray computed tomography
Abstract
International audience ; Absorption-based microcomputed tomography (μCT) scans using polychromatic X-ray sources are frequently used to analyse the microstructure of polymer-matrix composites. Assuming the proportionality between linear X-ray attenuation coefficients and gray levels in the reconstructed μCT images, segmentation techniques can be used to conduct qualitative and quantitative analyses. Nevertheless, the reliability of such analyses islimited in partially consolidated composites formed of commingled yarns due to low contrast induced by beam hardening and partial volume effect. This paper aims at investigating the possibility of using low-contrast μCT images to analyse fiber bed deformation and impregnation mechanism by staged consolidation of a weft-knitted fabric of commingled thermoplastic/glass yarns. The experimental work is focused on the effect of the compaction ratio of the consolidation cycle. Absorption-based μCT analyses are conducted for representative samples using a voxel size of 10μm and a constant energy-level of the X-rays source. Preliminary qualitative analyses of the raw reconstructed images indicate that beam hardening is the most significant in the case of the non-consolidated sample and that partial volume effect makes it difficult to visually distinguish between dry and impregnated zones inside the yarns at a compaction ratio of 63%. Thus, two image-quality descriptors, viz. contrast and signal-to-noise ratio are evaluated based on the K-means clustering method to follow their variation for four consolidation levels. The corresponding volume fractions of glass fibers, thermoplastic matrix, and voids are compared with the results of a second weight-controlled thresholding method. Considering that the weight-controlled thresholding method is less sensitive to beam hardening, it is confirmed that obtaining reliable segmentation results based on the K-means method requires a contrast around 0.5 and signal-to-noise ratio lower than 3. The results from the comparison with the ...