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 (1/1 displayed)

  • 2020Microstructure Control in 3D Printing with Digital Light Processing55citations

Places of action

Chart of shared publication
Falster, Viggo
1 / 1 shared
Luongo, A.
1 / 1 shared
Doest, M. B.
1 / 1 shared
Eiriksson, Eythor Runar
1 / 1 shared
Frisvad, Jeppe Revall
1 / 7 shared
Pedersen, David Bue
1 / 81 shared
Chart of publication period
2020

Co-Authors (by relevance)

  • Falster, Viggo
  • Luongo, A.
  • Doest, M. B.
  • Eiriksson, Eythor Runar
  • Frisvad, Jeppe Revall
  • Pedersen, David Bue
OrganizationsLocationPeople

article

Microstructure Control in 3D Printing with Digital Light Processing

  • Falster, Viggo
  • Luongo, A.
  • Doest, M. B.
  • Ribo, M. M.
  • Eiriksson, Eythor Runar
  • Frisvad, Jeppe Revall
  • Pedersen, David Bue
Abstract

<p>Digital light processing stereolithography is a promising technique for 3D printing. However, it offers little control over the surface appearance of the printed object. The printing process is typically layered, which leads to aliasing artefacts that affect surface appearance. An antialiasing option is to use greyscale pixel values in the layer images that we supply to the printer. This enables a kind of subvoxel growth control. We explore this concept and use it for editing surface microstructure. In other words, we modify the surface appearance of a printed object by applying a greyscale pattern to the surface voxels before sending the cross-sectional layer images to the printer. We find that a smooth noise function is an excellent tool for varying surface roughness and for breaking the regularities that lead to aliasing. Conversely, we also present examples that introduce regularities to produce controlled anisotropic surface appearance. Our hope is that subvoxel growth control in stereolithography can lead 3D printing towards customizable surface appearance. The printing process adds what we call ground noise to the printed result. We suggest a way of modelling this ground noise to provide users with a tool for estimating a printer's ability to control surface reflectance.</p>

Topics
  • impedance spectroscopy
  • microstructure
  • surface
  • anisotropic
  • layered