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)

  • 2012Development of a digital radiographic inspection technique for production friendly quality assessment of powder metallurgy partscitations

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Chart of shared publication
Amos, Mathew
1 / 2 shared
Halai, Harshad
1 / 1 shared
Gierl, Christian
1 / 2 shared
Lovea, Mihai
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Selcuk, Cem
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Gan, Tat Hean
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Kappatos, Vassilis
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Chart of publication period
2012

Co-Authors (by relevance)

  • Amos, Mathew
  • Halai, Harshad
  • Gierl, Christian
  • Lovea, Mihai
  • Selcuk, Cem
  • Gan, Tat Hean
  • Kappatos, Vassilis
OrganizationsLocationPeople

document

Development of a digital radiographic inspection technique for production friendly quality assessment of powder metallurgy parts

  • Amos, Mathew
  • Halai, Harshad
  • Gierl, Christian
  • Lovea, Mihai
  • Selcuk, Cem
  • Ponomarev, Maxim G.
  • Gan, Tat Hean
  • Kappatos, Vassilis
Abstract

<p>The target approach in this study will allow inspection of powder metallurgy (PM) parts, notably sintered, ideally in line with production to increase the quality of output batch and reduce scrap, as much as possible. An important part of the inspection system based on digital radiography will require an advanced data processing system for pattern recognition and feature characterisation. It is expected to utilise modern image processing and pattern recognition techniques such as greedy algorithm, active shape model and compare with traditional cross-correlation and distance template matching. It is anticipated that the developed quality control system will be versatile for adoption by notably the wider powder metallurgy community amongst other industry sectors, and particularly the pattern recognition capability will be useful for integration in different image processing and automation systems.</p>

Topics
  • impedance spectroscopy