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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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Tretiak, Iryna
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2024Characterising the Effect of Void Morphology on Composites Strength using Deep Learning
- 2024Virtual data-driven optimisation for zero defect composites manufacturecitations
- 2023Automatic process control of an automated fibre placement machinecitations
- 2023Peculiarities of the Design of Housing Parts of Large Direct Current Machinescitations
- 2023In-situ defect detection and correction using real time automated fibre placement
- 2023Manufacturing composite laminates with controlled void content through process controlcitations
- 2022The Effect of Process Parameters on First Ply Deposition in Automated Fibre Placementcitations
- 2019A parametric study of segmentation thresholds for X-ray CT porosity characterisation in composite materialscitations
Places of action
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article
A parametric study of segmentation thresholds for X-ray CT porosity characterisation in composite materials
Abstract
Porosity in composites is a critical manufacturing defect that leads to a reduction of mechanical performance. Non-destructive testing (NDT) techniques are used to inspect composites after manufacture to identify defects and to help assess their impact on mechanical performance. Micro X-ray computed tomography is a promising NDT technique which provides information about pore location, size and morphology. To identify and characterise voids, an image ‘segmentation’ must be applied to the full CT dataset, which is simply a rule-based decision about whether a voxel is inside a pore or not. This work uses a simple model to analyse and compare the effectiveness of previously accepted threshold methods for segmentation across a range of material and porosity parameters. A new CT-segmentation thresholding method is proposed and evaluated for characterising voids in a wider range of composites. The sources of uncertainties are investigated and recommendations are made to minimise these uncertainties.