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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1.080 Topics available

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977 Locations available

693.932 PEOPLE
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Naji, M.
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Smith, Robert A.

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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 materials49citations
  • 2019Fibre direction and stacking sequence measurement in carbon fibre composites using Radon transforms of ultrasonic data48citations
  • 2018Characterisation of carbon fibre-reinforced polymer composites through radon-transform analysis of complex eddy-current data48citations
  • 2018A numerical study on the influence of composite wrinkle defect geometry on compressive strength83citations
  • 2018Ply-orientation measurements in composites using structure-tensor analysis of volumetric ultrasonic data34citations
  • 2018Ultrasonic Analytic-Signal Responses from Polymer-Matrix Composite Laminates45citations
  • 20183D ultrasound characterization of woven composites4citations
  • 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 Compositescitations
  • 2017Ultrasonic detection and sizing of compressed cracks in glass- and carbon-fibre reinforced plastic composites54citations
  • 2016Acoustic characterization of void distributions across carbon-fiber composite layers7citations
  • 2016Acoustic characterization of void distributions across carbon-fiber composite layers7citations
  • 2016Ultrasonic tracking of ply drops in composite laminates27citations
  • 2016Non-destructive characterisation of composite microstructurescitations
  • 2015Progress in non-destructive 3D characterization and modelling of aerospace compositescitations
  • 2014Toward the 3D characterisation of GLARE and other fibre-metal laminate compositescitations
  • 2014Methods for fibre-orientation characterisation in monolithic carbon-fibre compositescitations
  • 20133D characterisation of fibre orientation and resulting material propertiescitations
  • 2010Use of 3D ultrasound data sets to map the localised properties of fibre-reinforced compositescitations
  • 2010Use of 3D ultrasound data sets to map the localised properties of fibre-reinforced composites.citations

Places of action

Chart of shared publication
Tretiak, Iryna
1 / 8 shared
Nelson, L. J.
1 / 3 shared
Drinkwater, Bw
1 / 25 shared
Hughes, Robert R.
1 / 6 shared
Hallett, Stephen R.
4 / 270 shared
Xie, Ningbo
3 / 4 shared
Mukhopadhyay, Supratik
2 / 7 shared
Nelson, Luke
3 / 4 shared
Mienczakowski, Martin
2 / 3 shared
Wilcox, Pd
3 / 20 shared
Mienczakowski, Martin J.
2 / 2 shared
Tayong, Rostand B.
1 / 1 shared
Bull, David J.
1 / 1 shared
Dulieu-Barton, Janice M.
1 / 60 shared
Fletcher, Timothy
1 / 1 shared
Rhead, Andrew T.
1 / 40 shared
Potter, Kevin
1 / 41 shared
Butler, Richard
1 / 40 shared
Thomsen, Ole T.
1 / 15 shared
Wang, C. H.
1 / 1 shared
Ibrahim, M. E.
1 / 1 shared
Pinfield, Valerie J.
3 / 6 shared
Boumda, Rostand Tayong
2 / 2 shared
Tayong Boumda, Rostand
1 / 2 shared
Nelson, Luke J.
2 / 2 shared
Fraij, Christina
2 / 3 shared
Veres, Istvan A.
1 / 2 shared
Lawrie, Andrew
1 / 1 shared
Roldo, Guilherme
1 / 1 shared
Chart of publication period
2019
2018
2017
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2010

Co-Authors (by relevance)

  • Tretiak, Iryna
  • Nelson, L. J.
  • Drinkwater, Bw
  • Hughes, Robert R.
  • Hallett, Stephen R.
  • Xie, Ningbo
  • Mukhopadhyay, Supratik
  • Nelson, Luke
  • Mienczakowski, Martin
  • Wilcox, Pd
  • Mienczakowski, Martin J.
  • Tayong, Rostand B.
  • Bull, David J.
  • Dulieu-Barton, Janice M.
  • Fletcher, Timothy
  • Rhead, Andrew T.
  • Potter, Kevin
  • Butler, Richard
  • Thomsen, Ole T.
  • Wang, C. H.
  • Ibrahim, M. E.
  • Pinfield, Valerie J.
  • Boumda, Rostand Tayong
  • Tayong Boumda, Rostand
  • Nelson, Luke J.
  • Fraij, Christina
  • Veres, Istvan A.
  • Lawrie, Andrew
  • Roldo, Guilherme
OrganizationsLocationPeople

document

Methods for fibre-orientation characterisation in monolithic carbon-fibre composites

  • Nelson, Luke J.
  • Smith, Robert A.
  • Fraij, Christina
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.

Topics
  • impedance spectroscopy
  • Carbon
  • composite
  • porosity