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 (1/1 displayed)

  • 2010Sensor fusion for electromagnetic stress measurement and material characterisation14citations

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Chart of shared publication
Morozov, Maxim
1 / 9 shared
Wilson, John W.
1 / 11 shared
Tian, Gui
1 / 1 shared
Chart of publication period
2010

Co-Authors (by relevance)

  • Morozov, Maxim
  • Wilson, John W.
  • Tian, Gui
OrganizationsLocationPeople

booksection

Sensor fusion for electromagnetic stress measurement and material characterisation

  • Morozov, Maxim
  • Wilson, John W.
  • Qubaa, Abd
  • Tian, Gui
Abstract

Detrimental residual stresses and microstructure changes are the two major precursors for future sites of failure in ferrous steel engineering components and structures. Although numerous Non-Destructive Evaluation (NDE) techniques can be used for microstructure and stress assessment, currently there is no single technique which would have the capability to provide a comprehensive picture of these material changes. Therefore the<br/>fusion of data from a number of different sensors is required for early failure prediction Electromagnetic (EM) NDE is a prime candidate for this type of inspection, since the response to Electromagnetic excitation can be quantified in several different ways: e.g. eddy<br/>currents, Barkhausen emission, flux leakage, and a few others.<br/>This chapter reviews the strengths of different electromagnetic NDE methods, provides an analysis of the different sensor fusion techniques such as sensor physical system fusion through different principles and detecting devices, and/or feature selection and fusion, and/or information fusion. Two sensor fusion case studies are presented: pulsed eddy current thermography at sensor level and integrative electromagnetic methods for stress and<br/>material characterisation at feature (parameters) level.

Topics
  • impedance spectroscopy
  • microstructure
  • strength
  • steel
  • thermography