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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2011Characterisation of Damage in Composite Structures using Acoustic Emissioncitations
  • 2011Principal component analysis of acoustic emission signals from landing gear components11citations

Places of action

Chart of shared publication
Halford, K.
1 / 1 shared
Featherston, C. A.
1 / 6 shared
May, Michael
1 / 29 shared
Hallett, Stephen R.
1 / 270 shared
Eaton, M.
1 / 1 shared
Evans, S. L.
1 / 1 shared
Worden, K.
1 / 33 shared
Eaton, M. J.
1 / 2 shared
Holford, K. M.
1 / 1 shared
Hensman, James
1 / 4 shared
Chart of publication period
2011

Co-Authors (by relevance)

  • Halford, K.
  • Featherston, C. A.
  • May, Michael
  • Hallett, Stephen R.
  • Eaton, M.
  • Evans, S. L.
  • Worden, K.
  • Eaton, M. J.
  • Holford, K. M.
  • Hensman, James
OrganizationsLocationPeople

article

Principal component analysis of acoustic emission signals from landing gear components

  • Evans, S. L.
  • Pullin, R.
  • Worden, K.
  • Eaton, M. J.
  • Holford, K. M.
  • Hensman, James
Abstract

<p>This work forms part of a larger investigation into fatigue crack detection using acoustic emission (AE) during landing gear airworthiness testing. It focuses on the use of principal component analysis (PCA) to differentiate between fatigue crack propagation (FCP) signals and high levels of background noise. An artificial AE fracture source was developed and additionally five sources were used to generate differing artificial AE signals. Signals were recorded from all six artificial sources in a real landing gear component subject to no load. Furthermore, artificial FCP signals were recorded in the same component under airworthiness test load conditions. PCA was used to automatically differentiate between AE signals from different source types. Furthermore, successful separation of artificial FCP signals from a very high level of background noise was achieved. The presence of a load was observed to affect the ultrasonic propagation of AE signals.</p>

Topics
  • crack
  • fatigue
  • ultrasonic
  • acoustic emission