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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.
Places of action
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article
Characterisation of carbon fibre-reinforced polymer composites through radon-transform analysis of complex eddy-current data
Abstract
Maintaining the correct fibre orientations and stacking sequence in carbon-fibre reinforced polymers (CFRP) during manufacture is essential for achieving the required mechanical properties of a component. This paper presents and evaluates a method for the rapid characterisation of the fibre orientations present in CFRP structures, and the differentiation of different stacking sequences, through the Radon-transform analysis of complex-valued eddy-current testing (ECT) inspection data. A high-frequency (20 MHz) eddy-current inspection system was used to obtain 2D scans of a range of CFRP samples of differing ply stacking sequences. The complex electrical impedance scan data was analysed using Radon-transform techniques to quickly and simply determine the dominant fibre orientations present in the structure. This method is compared to 2D-fast Fourier transform (2D-FFT) analysis of the same data and shown to give superior quantitative results with comparatively fewer computational steps and corrections. Further analysis is presented demonstrating and examining a method for preserving the complex information inherent within the eddy-current scan data during Radon-transform analysis. This investigation shows that the real and imaginary components of the ECT data encode information about the sacking sequence allowing the distinction between composites with different stacking structures. This new analysis technique could be used for in-process analysis of CFRP structures as a more accurate characterisation method, reducing the chance of costly manufacturing errors.