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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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Zhao, Huan
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2024Atom probe tomography-assisted kinetic assessment of spinodal decomposition in an Al-12.5 at.%Zn alloycitations
- 2022Non-destructive testing of composite fibre materials with hyperspectral imaging – evaluative studies in the EU H2020 FibreEUse projectcitations
- 2022Non-Destructive Testing of Composite Fiber Materials With Hyperspectral Imaging—Evaluative Studies in the EU H2020 FibreEUse Projectcitations
- 2022Composite repair and remanufacturing.citations
- 2021Multiscale analysis of grain boundary microstructure in high strength 7xxx Al alloyscitations
- 2021CALPHAD-informed phase-field modeling of grain boundary microchemistry and precipitation in Al-Zn-Mg-Cu alloys
- 2020Interplay of Chemistry and Faceting at Grain Boundaries in a Model Al Alloycitations
- 2020Grain boundary segregation and precipitation in an Al-Zn-Mg-Cu alloycitations
- 2018Parameter free quantitative analysis of atom probe data by correlation functions: Application to the precipitation in Al-Zn-Mg-Cucitations
- 2018Segregation assisted grain boundary precipitation in a model Al-Zn-Mg-Cu alloycitations
Places of action
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article
Non-destructive testing of composite fibre materials with hyperspectral imaging – evaluative studies in the EU H2020 FibreEUse project
Abstract
<p>Through capturing spectral data from a wide frequency range along with the spatial information, hyperspectral imaging (HSI) can detect minor differences in terms of temperature, moisture, and chemical composition. Therefore, HSI has been successfully applied in various applications, including remote sensing for security and defense, precision agriculture for vegetation and crop monitoring, food/drink, and pharmaceuticals quality control. However, for condition monitoring and damage detection in carbon fiber reinforced polymer (CFRP), the use of HSI is a relatively untouched area, as existing non-destructive testing (NDT) techniques focus mainly on delivering information about physical integrity of structures but not on material composition. To this end, HSI can provide a unique way to tackle this challenge. In this article, with the use of a near-infrared (NIR) HSI camera, applications of HSI for the non-destructive inspection of CFRP products are introduced, taking the European Union (EU) H2020 FibreEUse project as the background. Technical challenges and solutions on three case studies are presented in detail, including adhesive residues detection, surface damage detection, and cobot-based automated inspection. Experimental results have fully demonstrated the great potential of HSI and related vision techniques for NDT of CFRP, especially the potential to satisfy the industrial manufacturing environment.</p>