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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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Yuksel, Onur
Delft University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2024Friction Dynamics In Mechanical Bar Spreading For Unidirectional Thin-Ply Carbon Fiber
- 2024Microstructural Analysis Of Unidirectional Composites
- 2024Microstructural analysis of unidirectional composites: a comparison of data reduction schemes
- 2024Saturated transverse permeability of unidirectional rovings for pultrusion: The effect of microstructural evolution through compactioncitations
- 2022Experimental Investigation of the Interlaminar Failure of Glass/Elium® Thermoplastic Composites Manufactured With Different Processing Temperaturescitations
- 2021Material characterization of a pultrusion specific and highly reactive polyurethane resin system: Elastic modulus, rheology, and reaction kineticscitations
- 2021Material characterization of a pultrusion specific and highly reactive polyurethane resin systemcitations
- 2021Mesoscale process modeling of a thick pultruded composite with variability in fiber volume fractioncitations
- 2020Meso-scale process modelling strategies for pultrusion of unidirectional profiles
- 2020Experimental and computational analysis of the polymerization overheating in thick glass/Elium® acrylic thermoplastic resin compositescitations
- 2018Meso-scale process modelling strategies for pultrusion of unidirectional profiles
- 2016Experimental and numerical study of the tool-part interaction in flat and double curvature parts
Places of action
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document
Microstructural Analysis Of Unidirectional Composites
Abstract
This study presents the first steps of a benchmarking exercise on image processing of composite materials. Employing three distinct imaging protocols and five different image processing algorithms, the research explains the variability in capturing microstructural features of common micrograph dataset. Results highlight the sensitivity of different methods to factors like illumination inhomogeneities and pixel density, influencing the accuracy and consistency of obtained results. By comparing methodologies from different researchers in a blind format, the study identifies strengths and limitations, laying the groundwork for future benchmarking activities. Moving forward, this research sets the stage for standardized protocols and guidelines, aiming to enhance the reproducibility and reliability of microstructural analysis in composite materials. Such efforts are crucial for advancing material design and development, ultimately creating tailored composite materials with enhanced performance and functionality.