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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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Croxford, Anthony J.
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2021Developing a high-fidelity knowledge base for improvements in the nondestructive testing of advanced composite material productscitations
- 2020Data fusion of multi-view ultrasonic imaging for characterisation of large defectscitations
- 2020The influence of tensile stress on inductively coupled piezoceramic sensors embedded in fibre-reinforced plasticscitations
- 2016Health monitoring of composite structures throughout the life cycle
- 2016Monitoring cure and detecting damage in composites with embedded sensorscitations
- 2015Design, application and validation of embedded ultrasonic sensors within composite materialscitations
- 2015Design of an embedded sensor, for improved structural performancecitations
- 2013Investigation of Inductively Coupled Ultrasonic Transducer System for NDEcitations
- 2013Investigation of Capacitively Coupled Ultrasonic Transducer System for Nondestructive Evaluation
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document
Developing a high-fidelity knowledge base for improvements in the nondestructive testing of advanced composite material products
Abstract
With the application of composites driven by an industry need to replace conventional materials, products must be designed to a lightweight<br/>criterion with safety margins essential to guarantee consumer safety. Non-destructive testing is used to ensure that safety and confirm that a<br/>component is fit for purpose. To improve inspection processes, the National Composites Centre, UK, aims to address gaps in understanding the<br/>state-of-the-art of inspection methods in the composites industry.<br/>This paper describes an opportunity to further inspection understanding through the development of a novel high-fidelity knowledge base mapping<br/>material, component, and defect configuration to capabilities and limitations of selected detection methods. Using the proposed methodology,<br/>component and method criteria are used to establish a capability matrix. This matrix captures the evaluation of first iteration experimental testing<br/>of reference components. Deployment is expected to provide validated applicability data to support knowledge-based decision making for a range<br/>of inspection applications.