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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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Smith, Robert A.
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2019A parametric study of segmentation thresholds for X-ray CT porosity characterisation in composite materialscitations
- 2019Fibre direction and stacking sequence measurement in carbon fibre composites using Radon transforms of ultrasonic datacitations
- 2018Characterisation of carbon fibre-reinforced polymer composites through radon-transform analysis of complex eddy-current datacitations
- 2018A numerical study on the influence of composite wrinkle defect geometry on compressive strengthcitations
- 2018Ply-orientation measurements in composites using structure-tensor analysis of volumetric ultrasonic datacitations
- 2018Ultrasonic Analytic-Signal Responses from Polymer-Matrix Composite Laminatescitations
- 20183D ultrasound characterization of woven compositescitations
- 2017Reshaping the testing pyramid: utilisation of data-rich NDT techniques as a Means to Develop a ‘High Fidelity’ Component and Sub-structure Testing Methodology for Composites
- 2017Ultrasonic detection and sizing of compressed cracks in glass- and carbon-fibre reinforced plastic compositescitations
- 2016Acoustic characterization of void distributions across carbon-fiber composite layerscitations
- 2016Acoustic characterization of void distributions across carbon-fiber composite layerscitations
- 2016Ultrasonic tracking of ply drops in composite laminatescitations
- 2016Non-destructive characterisation of composite microstructures
- 2015Progress in non-destructive 3D characterization and modelling of aerospace composites
- 2014Toward the 3D characterisation of GLARE and other fibre-metal laminate composites
- 2014Methods for fibre-orientation characterisation in monolithic carbon-fibre composites
- 20133D characterisation of fibre orientation and resulting material properties
- 2010Use of 3D ultrasound data sets to map the localised properties of fibre-reinforced composites
- 2010Use of 3D ultrasound data sets to map the localised properties of fibre-reinforced composites.
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document
Methods for fibre-orientation characterisation in monolithic carbon-fibre composites
Abstract
The route to lighter composite aerostructures requires advanced 3D non-destructive characterisation methods to provide confidence that the as-built structures conform to the design expectations. Whilst X-ray Micro-CT imaging is an excellent NDT method for 3D characterisation, it can rarely be applied in production. In its place, Ultrasound is an ideal vehicle for exploring the detailed local response of a composite structure to (acoustic) stress and map this across the whole 3D structure. Its wavelength, bandwidth and beamwidth can be optimised for just the right sized volume element to characterise plies and fibre tows, whilst providing data that can be inverted to give 3D fibre direction, ply spacing, fibre volume fraction and, in the future, 3D porosity distribution. The first material property that must be determined to enable full characterisation and materials modelling of as-manufactured composite components is the vector field representing the fibre direction at every point. Ideally, an inversion method for converting NDT data sets into 3D profiles of material properties would work with both X-ray CT and ultrasound data. Following an extensive study of the literature for characterising other kinds of fibrous or textured images (fingerprints, hair, textiles, etc) the most promising methods have been evaluated and compared. This paper presents the findings of this evaluation and demonstrates the ability of the optimum method to map in 3D the actual fibre orientations throughout a composite component.