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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, Vedrana Andersen
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2023Dataset for scanning electron microscopy based local fiber volume fraction analysis of non-crimp fabric glass fiber reinforced compositescitations
- 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
- 2019Fiber segmentation from 3D X-ray computed tomography of composites with continuous textured glass fibre yarns
- 2019Structural Characterization of Membrane-Electrode-Assemblies in High Temperature Polymer Electrolyte Membrane Fuel Cellscitations
- 2014Surface Detection using Round Cutcitations
Places of action
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article
Structural Characterization of Membrane-Electrode-Assemblies in High Temperature Polymer Electrolyte Membrane Fuel Cells
Abstract
In high temperature polymer electrolyte fuel cells, polybenzimidazolemembranes doped in phosphoric acid are used as electrolytematerial. The membrane thickness directly relate tothe amount of absorbed acid which relate to performance. In this study,we compare scanning electron microscopy and X-raymicro-computed tomography (CT) regarding suitability for determining thestructure of electrolyte membranes. Semi-automatedlayer identification and thickness estimation was used to reduce humanerrors and data processing time. Scanning electronmicroscopy was found reliable for membrane thickness characterizationdespitenecessary destructive sample preparation. WithX-ray CT it was possible to study the cells non-destructively before andaftercell test. This made it possible to identify,so-called hot pressing, as the step in which the membrane lost most ofits thickness.After cell operation, the use of X-ray CT at largefield of view and a recently developed layer detection algorithm made itpossible to visualize compression of the membranein a pattern identical to that of the flow plate channels. Thiscompressionpattern would have been difficult to determine withconventional electron microscopy or X-ray CT without semi-automatedlayerdetection.