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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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 (1/1 displayed)

  • 2016Comparing cone beam laminographic system trajectories for composite NDT10citations

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Chart of shared publication
Sinclair, Ian
1 / 23 shared
Blumensath, Thomas
1 / 2 shared
Boardman, Richard P.
1 / 12 shared
Mavrogordato, Mark
1 / 8 shared
Obrien, Neil
1 / 1 shared
Chart of publication period
2016

Co-Authors (by relevance)

  • Sinclair, Ian
  • Blumensath, Thomas
  • Boardman, Richard P.
  • Mavrogordato, Mark
  • Obrien, Neil
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article

Comparing cone beam laminographic system trajectories for composite NDT

  • Sinclair, Ian
  • Hawker, Sam
  • Blumensath, Thomas
  • Boardman, Richard P.
  • Mavrogordato, Mark
  • Obrien, Neil
Abstract

We compare the quality of reconstruction obtainable using various laminographic system trajectories that have been described in the literature, with reference to detecting defects in composite materials in engineering. We start by describing a laminar phantom representing a simplified model of composite panel, which models certain defects that may arise in such materials, such as voids, resin rich areas, and delamination, and additionally features both blind and through holes along multiple axes. We simulate ideal cone-beam projections of this phantom with the different laminographic trajectories, appling both Simultaneous Iterative Reconstruction Technique (SIRT) and Conjugate Gradient Least Squares (CGLS) reconstruction algorithms. We compare the quality of the reconstructions with a view towards optimising the scan parameters for defect detectability in composite NDT applications.

Topics
  • composite
  • void
  • resin