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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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
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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
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document

The challenges in edge detection and porosity analysis for dissimilar materials additive manufactured components

  • Blunt, Liam
  • Racasan, Radu
  • Bills, Paul
  • Tawfik, Ahmed
  • Bacheva, Desi
Abstract

<p>AM is being recognized as a core technology for producing complex and customized components. Several AM machines can manufacture components using dissimilar materials which provides a substantial advantage by combining the mechanical properties of several materials in a single component. However, there are several challenges stopping the industry from widely utilizing AM in critical components. The mechanical properties of AM components are not well understood, furthermore nondestructive testing (NDT) and repeatability are not well established. X-ray computed tomography (XCT) is one of the most promising NDT methods that can detect porosity/defects and provide information regarding the position, location distribution and volume of any pores/defects. This paper presents a case study that highlights the challenges in edge detection and porosity analysis for AM manufactured components using dissimilar metallic materials. The artefact used in this experiment consists of two individual components built using Aluminium and Titanium powders that are then assembled together. The two components contain machined defect filled with unfused Titanium powder which prior to assembly were characterised using a focus variation microscope (Alicona G4) in order to determine the reference values for the diameter and depth of each defect. A Nikon XTH225 (Nikon Metrology, Tring) industrial XCT was used to analyse the pores/ defects’ location and size. The XCT data was reconstructed and the analysis for surface determination and defect analysis was carried out using VG Studio Max 3.1 (Volume Graphics, Heidelberg). The emphasis of the study is providing guidelines for selecting the inspection parameters, optimizing the surface determination to allow for porosity analysis and edge detection in dissimilar materials components built using in AM powder bed fusion (PBF).</p>

Topics
  • impedance spectroscopy
  • pore
  • surface
  • experiment
  • tomography
  • aluminium
  • titanium
  • porosity
  • powder bed fusion
  • titanium powder