| 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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Boardman, Richard P.
University of Southampton
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2021Characterization and ballistic performance of thin pre-damaged resin-starved aramid-fiber composite panelscitations
- 2020Combining photocatalysis and optical fibre technology towards improved microreactor design for hydrogen generation with metallic nanoparticlescitations
- 2020Successes and challenges in non-destructive testing of aircraft composite structurescitations
- 2018X-ray computed micro-tomography of reticulated vitreous carboncitations
- 2017Inside a feather
- 2016Comparing cone beam laminographic system trajectories for composite NDTcitations
- 2014X-ray tomography for structural analysis of microstructured and multimaterial optical fibers and preformscitations
- 2014The application of digital volume correlation (DVC) to study the microstructural behaviour of trabecular bone during compressioncitations
- 2008Numerical investigation of domain walls in constrained geometriescitations
- 2007Geometrical multilayers: coercivity in magnetic 3-D nanostructurescitations
- 2005Shape-induced anisotropy in antidot arrays from self-assembled templatescitations
- 2005Computer simulation studies of magnetic nanostructures
Places of action
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article
X-ray computed micro-tomography of reticulated vitreous carbon
Abstract
The 3D structure of various grades of reticulated vitreous carbon (RVC) is studied by X-ray computed micro-tomography (μCT). The settings required to estimate the bulk volumetric surface area accurately are investigated and the results are compared to those obtained from scanning electron microscopy and from pressure drop measurements via the Ergun equation. A resolution of 1.3 μm per voxel in μCT imaging is needed to determine the volumetric surface area, but its value is highly dependent on post-processing. A resolution of 9.6 μm per voxel underestimated the volumetric surface area, Ae, by a factor of up to 0.64 due to an incomplete resolution of the cell struts. This latter resolution is, however, sufficient to establish the volumetric porosity and the relative density. Theoretical estimations of electrical resistivity using these properties are consistent with those reported in the literature. Cell volume and cell surface area distributions are then obtained from computational analysis of the digitally rendered structure of 100 ppi RVC. Both cases can be approximated by a gamma function. Suitable instrumental μCT conditions for performing metrological studies on bare and modified RVC are proposed. Opportunities for the modelling of decorated and coated digitally rendered RVC are discussed.