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 (3/3 displayed)

  • 2023Modelling the influences of powder layer depth and particle morphology on powder bed fusion using a coupled DEM-CFD approach5citations
  • 2023Smart recoating: A digital twin framework for optimisation and control of powder spreading in metal additive manufacturing14citations
  • 2021The Effect of Recoater Geometry and Speed on Granular Convection and Size Segregation in Powder Bed Fusion51citations

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Chart of shared publication
Phua, Arden
3 / 4 shared
Delaney, Gary
3 / 7 shared
Owen, Phil
1 / 1 shared
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2023
2021

Co-Authors (by relevance)

  • Phua, Arden
  • Delaney, Gary
  • Owen, Phil
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article

Modelling the influences of powder layer depth and particle morphology on powder bed fusion using a coupled DEM-CFD approach

  • Phua, Arden
  • Davies, Chris
  • Delaney, Gary
Abstract

Optimising the quality of metal parts produced by additive manufacturing requires an understanding of how the powder characteristics impact both layer spreading and the subsequent powder melting. Here we present a simulation study which couples models of powder spreading (by the Discrete Element Method) and powder bed fusion by laser beam (by CFD). Previous simulations of these processes have mostly assumed idealised smooth surfaces, spherical particles and a single laser track. Here we seek a more realistic description by spreading over a previously-melted (rough) surface and by melting a number of tracks laid side-by-side to mimic the crosshatched scans typically used during part production. The effects of powder morphology (via a range of particle shapes including spheres, disks, ellipsoids and cuboids) and layer depth on spreading and subsequent melting have been investigated. We find that the fraction of laser energy transferred to the part and the melt pool volume both increase rapidly with the volume of powder deposited, due to the combined effects of multiple laser reflections and the insulating nature of the powder layer. In contrast, particle shape has very little effect on the overall melting behaviour of the powder, with the volume deposited and uniformity of coverage being the key determining factors. These observations suggest that the use of cheaper non-spherical powders is feasible provided that a sufficiently uniform coverage can be achieved at small layer depths.

Topics
  • impedance spectroscopy
  • morphology
  • surface
  • simulation
  • melt
  • particle shape
  • powder bed fusion
  • discrete element method