Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Hughes, Robert R.

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University of Bristol

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2023Modelling and evaluation of carbon fibre composite structures using high-frequency eddy current imaging24citations
  • 2023Modelling a Dynamic Magneto-Agglutination Bioassay1citations
  • 2023Modelling a Dynamic Magneto-Agglutination Bioassay1citations
  • 2021Exploring high-frequency eddy-current testing for sub-aperture defect characterisation using parametric-manifold mapping3citations
  • 2018Characterisation of carbon fibre-reinforced polymer composites through radon-transform analysis of complex eddy-current data48citations
  • 2016Investigating electrical resonance in eddy-current array probes5citations

Places of action

Chart of shared publication
Yi, Qiuji
1 / 1 shared
Wilcox, Pd
1 / 20 shared
Kiely, Janice
2 / 5 shared
Luxton, Richard W.
2 / 2 shared
Fishman, Aaron S.
2 / 2 shared
Lamb-Riddell, Kathryn
2 / 3 shared
Sleigh Muñoz, Valentina
1 / 2 shared
Champneys, Alan R.
1 / 1 shared
Muñoz, Valentina Sleigh
1 / 1 shared
Champneys, Alan
1 / 4 shared
Drinkwater, Bw
2 / 25 shared
Smith, Robert A.
1 / 19 shared
Dixon, S.
1 / 5 shared
Fan, Y.
1 / 10 shared
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2021
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Co-Authors (by relevance)

  • Yi, Qiuji
  • Wilcox, Pd
  • Kiely, Janice
  • Luxton, Richard W.
  • Fishman, Aaron S.
  • Lamb-Riddell, Kathryn
  • Sleigh Muñoz, Valentina
  • Champneys, Alan R.
  • Muñoz, Valentina Sleigh
  • Champneys, Alan
  • Drinkwater, Bw
  • Smith, Robert A.
  • Dixon, S.
  • Fan, Y.
OrganizationsLocationPeople

article

Modelling and evaluation of carbon fibre composite structures using high-frequency eddy current imaging

  • Yi, Qiuji
  • Hughes, Robert R.
  • Wilcox, Pd
Abstract

The mechanical performance of carbon fibre reinforced polymer (CFRP) composites is determined by the stacking sequence of specifically orientated ply lamina layers. In these multi-layer structures, global ply misalignment and local fibre waviness can occur during the manufacturing process, leading to reduced performance and structural failure during operation. High-frequency eddy-current testing (ECT) has previously demonstrated its capability for detecting orientation-related features, including fibre orientation and waviness. However, accurate sensor optimisation and inversion of orientation & material structure cannot be achieved without proper, validated modelling techniques to simulate CFRP features. The lack of suitable models is in part due to CFRP exhibiting highly-complex electromagnetic interactions between fibres, lamina and the ECT sensors, which are challenging to integrate. This work proposes a novel finite element modelling approach to simulate the ECT response to planar multi-layered CFRP components. The fibre tow structure of each unidirectional ply is modelled using orientation dependant 2D conductivity tensor waveforms, and virtual 2D ECT scans are simulated by shifting the waveforms within the model mesh. The results demonstrate that idealised electromagnetic characteristics of the CFRP structure can be successfully modelled compared with experimental data and that 2D ECT data of complex CFRP layers structures can be simulated with improved computational speeds, up to 5x faster compared to standard approaches. Automated data-analysis tools, including Radon transform (RT) and 2D FFT, are employed to validate the simulated 2D scan data through the characterisation of fibre orientations and simulated 2D scans used to evaluate the orientation inversion techniques. The results demonstrate that RT analysis detects fibre orientations with better accuracy, precision and consistency than equivalent 2D FFT analysis techniques. The simulation also demonstrates the reduced resistivity losses compared with isotropic materials caused by the different heterogeneous and multi-layer structures. It predicts high current densities at interfaces of plies with orthogonal orientations, resulting in an effective interface skin-depth.

Topics
  • impedance spectroscopy
  • polymer
  • Carbon
  • resistivity
  • simulation
  • layered
  • composite
  • isotropic