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 (11/11 displayed)

  • 2024Trueness of vat-photopolymerization printing technology of interim fixed partial denture with different building orientation1citations
  • 2023Direct assessment of the shear behavior of strain-hardening cement-based composites under quasi-static and impact loading: Influence of shear span and notch depth11citations
  • 2022On the shear behavior of mineral-bonded composites under impact loadingcitations
  • 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
  • 2017Method for characterizing defects/porosity in additive manufactured components using computer tomographycitations

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Chart of shared publication
Kusumasari, Citra
1 / 2 shared
Mahrous, Aliaa
1 / 1 shared
Blunt, Liam
9 / 23 shared
Radwan, Mohamed
2 / 3 shared
Abdou, Ahmed
1 / 4 shared
Bills, Paul
9 / 14 shared
Signorini, Cesare
1 / 13 shared
Mechtcherine, Viktor
2 / 60 shared
Beerlink, Andre
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Racasan, Radu
8 / 11 shared
Bacheva, Desi
2 / 2 shared
Attia, Mazen Ahmed
1 / 1 shared
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Co-Authors (by relevance)

  • Kusumasari, Citra
  • Mahrous, Aliaa
  • Blunt, Liam
  • Radwan, Mohamed
  • Abdou, Ahmed
  • Bills, Paul
  • Signorini, Cesare
  • Mechtcherine, Viktor
  • Beerlink, Andre
  • Racasan, Radu
  • Bacheva, Desi
  • Attia, Mazen Ahmed
OrganizationsLocationPeople

document

Characterisation of powder-filled defects in additive manufactured surfaces using X-ray CT

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

Assessing functional performance is the most important stage of any component verification. Mechanical properties can be evaluated by means of destructive testing which can be both expensive and lengthy in addition to loss of the original component under test. It is therefore advantageous where possible to utilise non-destructive techniques that can achieve the same or similar outcomes through collection of three-dimensional data that can then be used in simulation to determine functionality. Such non-destructive methods with 3D location ability are essentially density- and porosity-based testing methods. Additive manufacturing allows the creation of complex geometrical features that are often defined based on function.<br/>Optimisation of AM component geometry based on functionality allows for the specification of components that have features that cannot be mapped efficiently to current GPS standards ISO 14638. In addition, the integrity of complex optimised AM structures that may lie on a critical stress or heat path must be assessed and any elements of unfused powder for example, must be detected. This seeks to investigate the ability of X-ray computer tomography to detect and characterised small scale empty and powder filled defects which may occur in AM manufactured parts. To achieve this, aim a Ti6AL4V artefact built using an Arcam Q10 electron beam-melting machine (EBM). Defects of between 50 and 1400 microns in diameter were machined into the surface of the artefact using a precision CNC machine equipped with micro-drills. Once this was achieved, the defects were characterised using focus variation microscope. Virgin Ti6AL4V powder was added to fill 50% of the defects and then the artefact was measured using a Nikon XTH225 industrial CT. This was used to analyse the relative size and volume of the defects and assess the capability of the inspection process to both assess the size of pores and to detect the powder-filled defects. To reduce the number of process variables, all the measurement process parameters, such as filament current, acceleration voltage and X-ray filtering material and thickness, were kept constant between the scans with hollow and powder filled defects. The acquired data processing, surface determination process and defect analysis was carried out using VgStudio Max (Volume Graphics, Germany). The focus of the study is on providing best practice regarding the selection of inspection parameters and identifying the capability of the process to detect unfused powder.

Topics
  • density
  • impedance spectroscopy
  • pore
  • surface
  • simulation
  • tomography
  • porosity
  • additive manufacturing