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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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Park, Chung Hae
IMT Nord Europe
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (18/18 displayed)
- 2024Fusion Bonding/Welding of Polymer Composites
- 2023Autoencoder-accelerated computational homogenization of unsteady flows in porous media
- 2023Fusion Bonding/Welding of Polymer Composites
- 2023In-situ monitoring of consolidation process for high-performance thermoplastic composites by Fibre Bragg Grating
- 2023Fiber Reinforced Thermoplastic Composites: Processing/Structure/Performance Inter-relationships
- 2023In-situ monitoring of consolidation process for high-performance thermoplastic composites by Fibre Bragg Grating ; Suivi in-situ du processus de consolidation de composite thermoplastique hautes performances par fibre à réseau de Bragg
- 2022Reactive processing of acrylic-based thermoplastic composites: A mini-reviewcitations
- 2022Investigation of Fatigue Behavior of Three Dimensional Interlock Composites by Time-Lapse Micro-Computed Tomography
- 2022Influence of prepreg parameters on the interlaminar consolidation of fiber reinforced thermoplastic laminates manufactured by vacuum-bag-only process ; Influence des paramètres matériaux sur la consolidation interlaminaire de stratifiés thermoplastiques consolidés par VBOcitations
- 2020In-situ Monitoring of the Out-Of-Autoclave Consolidation of Carbon/Poly-Ether-Ketone-Ketone Prepreg Laminatecitations
- 2020In-situ Monitoring of the Out-Of-Autoclave Consolidation of Carbon/Poly-Ether-Ketone-Ketone Prepreg Laminate ; Suivi in-situ de la consolidation hors-autoclave de stratifiés PEKK/fibres de carbonecitations
- 2019Analysis of impregnation mechanism of weft-knitted commingled yarn composites by staged consolidation and laboratory X-ray computed tomographycitations
- 2019A FFT solver for variational phase-field modeling of brittle fracturecitations
- 2018Characterization and modeling of composite vacuum infusion process : Influence of fabric type, resin viscosity and strain ratecitations
- 2011Intra/inter-ply shear behaviors of continuous fiber reinforced thermoplastic composites in thermoforming processescitations
- 2009Integrated optimization for weight, Performance and cost of composite structurescitations
- 2008IDENTIFICATION OF PREFORM COMPRESSIBILITY BY INVERSE METHOD
- 2008Hydromechanical loading and compressibility of fibrous reinforcements
Places of action
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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 ...