| 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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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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conferencepaper
In-situ defect detection and correction using real time automated fibre placement
Abstract
The recent move toward industry 4.0 and a global emphasis on sustainability have underlined the need for less waste and more efficiency in composite manufacturing. A potential solution to these challenges is via in-situ detection and correction of AFP defects. To demonstrate the concept, our team has developed a research-based AFP deposition systememploying laser sensors to monitor the material quality and facilitate active process control., A preliminary study has shown that the system can monitor and compensate for AFP defects, which ultimately changes the microstructure of the laminate. <br/><br/>The aim of this work is to fine-tune the defect correction process by identifying the ideal process parameters for different types and levels of defects. This will improve the final part quality and reduce manufacturing waste, leading to more sustainable manufacturing of lightweight composite structures.