| 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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Dahl, Anders Bjorholm
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (18/18 displayed)
- 2023Elucidating the Bulk Morphology of Cellulose-Based Conducting Aerogels with X-Ray Microtomography
- 2023Elucidating the Bulk Morphology of Cellulose-Based Conducting Aerogels with X-Ray Microtomography
- 2022SparseMeshCNN with Self-Attention for Segmentation of Large Meshescitations
- 2021Quantifying effects of manufacturing methods on fiber orientation in unidirectional composites using structure tensor analysiscitations
- 2020Characterization of the fiber orientations in non-crimp glass fiber reinforced composites using structure tensorcitations
- 2019Process characterization for molding of paper bottles using computed tomography and structure tensor analysis
- 2017Individual fibre segmentation from 3D X-ray computed tomography for characterising the fibre orientation in unidirectional composite materialscitations
- 2017Graphite nodules in fatigue-tested cast iron characterized in 2D and 3Dcitations
- 2015Dictionary Based Segmentation in Volumescitations
- 2015Characterization of boundary roughness of two cube grains in partly recrystallized coppercitations
- 2015Boundary Fractal Analysis of Two Cube-oriented Grains in Partly Recrystallized Coppercitations
- 2014Surface Detection using Round Cutcitations
- 2014Pattern recognition approach to quantify the atomic structure of graphenecitations
- 2014Structure Identification in High-Resolution Transmission Electron Microscopic Imagescitations
- 2014Characterization of graphite nodules in thick-walled ductile cast iron
- 2014Quantification Tools for Analyzing Tomograms of Energy Materials
- 2013Automated Structure Detection in HRTEM Images: An Example with Graphene
- 2012Large scale tracking of stem cells using sparse coding and coupled graphs
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article
Quantifying effects of manufacturing methods on fiber orientation in unidirectional composites using structure tensor analysis
Abstract
Important properties of fiber-reinforced composites, such stiffness, compression strength, and fatigue resistance, are sensitive to fiber alignment. In this paper, we use structure tensor analysis on CT images to characterize the fiber orientations in three samples of unidirectional fiber-reinforced composites: pultruded carbon, pre-preg carbon, and non-crimp glass fiber fabric. Our results show that the fibers in the pultruded sample are more aligned than fibers in the two other samples. Through local quantitative analysis, we show that misalignment of the individual pre-preg layers contributes to the overall fiber misalignment in the material. For the non-crimp composite, we show that both the stitching of the unidirectional bundles and the backing bundles affect the fiber alignment in unidirectional bundles. Quantifying the misalignment caused by these effects allows manufacturers to tune production parameters, such as stitching thread tension, to minimize the misalignment of the fibers. All our notebooks, code, and data are available online.