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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Gillespie, David

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Howden (United Kingdom)

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2020Composite laminate delamination detection using transient thermal conduction profiles and machine learning based data analysis6citations
  • 2020Identifying defects in aerospace composite sandwich panels using high-definition distributed optical fibre sensors11citations
  • 2020Defect detection in aerospace sandwich composite panels using conductive thermography and contact sensors11citations
  • 2020Non-destructive identification of fibre orientation in multi-ply biaxial laminates using contact temperature sensors4citations

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Chart of shared publication
Bellekens, Xavier
2 / 2 shared
Andonovic, Ivan
4 / 6 shared
Michie, Walter
3 / 5 shared
Atkinson, Robert
3 / 6 shared
Hamilton, Andrew
4 / 11 shared
Tachtatzis, Christos
4 / 8 shared
Mills, James
1 / 1 shared
Burnham, Kenneth
1 / 1 shared
Neilson, Brian
1 / 1 shared
Mckay, Ewan J.
1 / 1 shared
Chart of publication period
2020

Co-Authors (by relevance)

  • Bellekens, Xavier
  • Andonovic, Ivan
  • Michie, Walter
  • Atkinson, Robert
  • Hamilton, Andrew
  • Tachtatzis, Christos
  • Mills, James
  • Burnham, Kenneth
  • Neilson, Brian
  • Mckay, Ewan J.
OrganizationsLocationPeople

article

Identifying defects in aerospace composite sandwich panels using high-definition distributed optical fibre sensors

  • Gillespie, David
  • Andonovic, Ivan
  • Michie, Walter
  • Hamilton, Andrew
  • Mills, James
  • Tachtatzis, Christos
  • Burnham, Kenneth
Abstract

<p>Automated methods for detecting defects within composite materials are highly desirable in the drive to increase throughput, optimise repair program effectiveness and reduce component replacement. Tap-testing has traditionally been used for detecting defects but does not provide quantitative measurements, requiring secondary techniques such as ultrasound to certify components. This paper reports on an evaluation of the use of a distributed temperature measurement system—high-definition fibre optic sensing (HD-FOS)—to identify and characterise crushed core and disbond defects in carbon fibre reinforced polymer (CFRP)-skin, aluminium-core, sandwich panels. The objective is to identify these defects in a sandwich panel by measuring the heat transfer through the panel thickness. A heater mat is used to rapidly increase the temperature of the panel with the HD-FOS sensor positioned on the top surface, measuring temperature. HD-FOS measurements are made using the Luna optical distributed sensor interrogator (ODISI) 9100 system comprising a sensor fabricated using standard single mode fibre (SMF)-20 of external diameter 250 µm, including the cladding. Results show that areas in which defects are present modulate thermal conductivity, resulting in a lower surface temperature. The resultant data are analysed to identify the length, width and type of defect. The non-invasive technique is amenable to application in challenging operational settings, offering high-resolution visualisation and defect classification.</p>

Topics
  • impedance spectroscopy
  • surface
  • polymer
  • Carbon
  • aluminium
  • composite
  • defect
  • thermal conductivity