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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Racasan, Radu

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University of Huddersfield

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (11/11 displayed)

  • 2020Challenges in Inspecting Internal Features for SLM Additive Manufactured Build Artifacts1citations
  • 2020The Detection of Unfused Powder in EBM and SLM Additive Manufactured Components4citations
  • 2020Development of an Additive Manufactured Artifact to Characterize Unfused Powder Using Computed Tomography6citations
  • 2019The challenges in edge detection and porosity analysis for dissimilar materials additive manufactured componentscitations
  • 2018Optimization of surface determination strategies to enhance detection of unfused powder in metal additive manufactured componentscitations
  • 2018Development of an AM artefact to characterize unfused powder using computer tomographycitations
  • 2018Characterisation of powder-filled defects in additive manufactured surfaces using X-ray CTcitations
  • 2018An interlaboratory comparison of X-ray computed tomography measurement for texture and dimensional characterisation of additively manufactured parts64citations
  • 2017Results from an interlaboratory comparison of areal surface texture parameter extraction from X-ray computed tomography of additively manufactured partscitations
  • 2017Method for characterizing defects/porosity in additive manufactured components using computer tomographycitations
  • 2016Method for Characterization of Material Loss from Modular Head-Stem Taper Surfaces of Hip Replacement Devices5citations

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Beerlink, Andre
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Blunt, Liam
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Bills, Paul
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Tawfik, Ahmed
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Bacheva, Desi
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Radwan, Mohamed
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Attia, Mazen Ahmed
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Brown, Stephen
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Ramsey, Andrew
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Leach, Richard
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Thompson, Adam
2 / 15 shared
Senin, Nicola
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Townsend, Andrew
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Bate, David
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Woolliams, Peter
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Leach, Richard K.
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Skinner, John A.
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Hart, Alister
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Co-Authors (by relevance)

  • Beerlink, Andre
  • Blunt, Liam
  • Bills, Paul
  • Tawfik, Ahmed
  • Bacheva, Desi
  • Radwan, Mohamed
  • Attia, Mazen Ahmed
  • Brown, Stephen
  • Ramsey, Andrew
  • Leach, Richard
  • Thompson, Adam
  • Senin, Nicola
  • Townsend, Andrew
  • Bate, David
  • Woolliams, Peter
  • Leach, Richard K.
  • Skinner, John A.
  • Hart, Alister
OrganizationsLocationPeople

document

Results from an interlaboratory comparison of areal surface texture parameter extraction from X-ray computed tomography of additively manufactured parts

  • Leach, Richard K.
  • Blunt, Liam
  • Racasan, Radu
  • Thompson, Adam
  • Senin, Nicola
  • Bills, Paul
  • Townsend, Andrew
Abstract

This paper presents the results of the CT-STARR (CT-Surface Texture for Additive Round Robin) interlaboratory comparison. The study compares the results obtained for the extraction of areal surface texture data per ISO 25178-2 from five X-ray computed tomography (XCT) volume measurements from each of four laboratories. To reduce the number of process variables, all participants utilise a Nikon XCT machine, either an XT H 225 industrial CT or an MCT225 metrology CT. Measurement process parameters, such as physical X-ray filtering, acceleration voltage and filament current, are set at similar values for all machines. All data processing and computation to extract, align, crop, filter and generate surface texture parameter information and deviation analysis results from the measurement volumes is performed by one participant. Two Ti6Al4V ELI (extra low interstitial) components are included in each of the XCT acquisitions. The first component is an additively manufactured cube built on an Arcam Q10 electron beam melting machine. Surface texture data is extracted from XCT scans of this part. The second component is a machined artefact designed for XCT scaling and surface determination analysis and verification. The data extracted from XCT measurements of these components is compared with measurements from coordinate measuring machine, focus variation and stylus instruments. The effect of scaling correction and XCT surface determination on extracted surface texture data, as well as measurement repeatability and reproducibility, are discussed.

Topics
  • impedance spectroscopy
  • surface
  • extraction
  • tomography
  • texture
  • interstitial
  • electron beam melting