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 (6/6 displayed)

  • 2023MODL-14. IMAGING, HISTOLOGICAL AND MOLECULAR CHARACTERIZATION AND COMPARISON OF POST-ABLATION RECURRENT TUMOR WITH THE PRIMARY TUMOR IN A PRECLINICAL GLIOBLASTOMA MODELcitations
  • 2018The Effect of Scandium Ternary Intergrain Precipitates in Al-Containing High-Entropy Alloys12citations
  • 2018An interlaboratory comparison of X-ray computed tomography measurement for texture and dimensional characterisation of additively manufactured parts64citations
  • 2011Mechanically relevant consequences of the composite laminate-like design of the abdominal wall muscles and connective tissues.12citations
  • 2009A comparison of ultrasound and electromyography measures of force and activation to examine the mechanics of abdominal wall contraction.86citations
  • 2008An ultrasound investigation into the morphology of the human abdominal wall uncovers complex deformation patterns during contraction.14citations

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Chart of shared publication
Hasselbach, Laura
1 / 1 shared
Avritt, Faith
1 / 1 shared
Decarvalho, Ana
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Parasar, Parveen
1 / 1 shared
Bartlett, Seamus
1 / 1 shared
Morosini, Natalia
1 / 1 shared
Cabral, Glauber
1 / 1 shared
Ayloo, Bhargav
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Datta, Indrani
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Nagaraja, Tavarekere
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Lee, Ian
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Noushmehr, Houtan
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Ewing, James
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Knight, Robert
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Singh, Jaspreet
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Riva, Sephira
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Oeckler, Oliver
1 / 13 shared
Yusenko, Kirill
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Schwarzmüller, Stefan
1 / 1 shared
Lavery, Nicholas
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Mehraban, Shahin
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Ramsey, Andrew
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Blunt, Liam
1 / 23 shared
Leach, Richard
1 / 9 shared
Racasan, Radu
1 / 11 shared
Thompson, Adam
1 / 15 shared
Senin, Nicola
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Townsend, Andrew
1 / 5 shared
Bate, David
1 / 2 shared
Woolliams, Peter
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Chart of publication period
2023
2018
2011
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Co-Authors (by relevance)

  • Hasselbach, Laura
  • Avritt, Faith
  • Decarvalho, Ana
  • Parasar, Parveen
  • Bartlett, Seamus
  • Morosini, Natalia
  • Cabral, Glauber
  • Ayloo, Bhargav
  • Datta, Indrani
  • Nagaraja, Tavarekere
  • Lee, Ian
  • Noushmehr, Houtan
  • Ewing, James
  • Knight, Robert
  • Singh, Jaspreet
  • Riva, Sephira
  • Oeckler, Oliver
  • Yusenko, Kirill
  • Schwarzmüller, Stefan
  • Lavery, Nicholas
  • Mehraban, Shahin
  • Ramsey, Andrew
  • Blunt, Liam
  • Leach, Richard
  • Racasan, Radu
  • Thompson, Adam
  • Senin, Nicola
  • Townsend, Andrew
  • Bate, David
  • Woolliams, Peter
OrganizationsLocationPeople

article

An interlaboratory comparison of X-ray computed tomography measurement for texture and dimensional characterisation of additively manufactured parts

  • Brown, Stephen
  • Ramsey, Andrew
  • Blunt, Liam
  • Leach, Richard
  • Racasan, Radu
  • Thompson, Adam
  • Senin, Nicola
  • Townsend, Andrew
  • Bate, David
  • Woolliams, Peter
Abstract

This paper presents the results of the CT-STARR (CT-Surface Texture for Additive Round Robin) Stage 1 interlaboratory comparison. The study compared the results obtained for the extraction of areal surface texture data per ISO 25178-2 from five X-ray computed tomography (CT) volume measurements from each of four laboratories. Two Ti6Al4V ELI (extra low interstitial) components were included in each of the CT acquisitions. The first component was an additively manufactured (AM) cube manufactured using an Arcam Q10 electron beam melting (EBM) machine. Surface texture data was extracted from CT scans of this part. The values of selected parameters per ISO 25178-2 are reported, including Sa, the arithmetic mean height, for which the values from the Nikon MCT 225 metrology CT measurements were all within 0.5% of the mean reference focus variation measurement. CT resolution requirements are discussed. The second component was a machined dimensional test artefact designed to facilitate independent analysis of CT global voxel scaling errors and surface determination errors. The results of mathematical global scaling and surface determination correction of the dimensional artefact data is reported. The dimensional test artefact errors for the XT H 225 commercial CT for length, outside diameter and inside diameter reduced from -0.27%, -0.83% and -0.54% respectively to less than 0.02% after performing mathematical correction. This work will assist the development of surface texture correction protocols, help define surface-from-CT measurement envelope limits and provide valuable information for an expanded Stage 2 interlaboratory comparison, which will include a more diverse range of CT systems and technologies, further expanding the surface-from-CT knowledge base.

Topics
  • impedance spectroscopy
  • surface
  • extraction
  • laser emission spectroscopy
  • texture
  • interstitial
  • electron beam melting
  • computed tomography scan