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)

  • 2015Single scan vector prediction in selective laser melting27citations

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Chart of shared publication
Bruins, Rutger
1 / 1 shared
Huls, Rob A.
1 / 1 shared
Wits, Wessel
1 / 15 shared
Geijselaers, Hubert
1 / 31 shared
Chart of publication period
2015

Co-Authors (by relevance)

  • Bruins, Rutger
  • Huls, Rob A.
  • Wits, Wessel
  • Geijselaers, Hubert
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article

Single scan vector prediction in selective laser melting

  • Bruins, Rutger
  • Huls, Rob A.
  • Terpstra, Lennard
  • Wits, Wessel
  • Geijselaers, Hubert
Abstract

In selective laser melting (SLM) products are built by melting layers of metal powder successively. Optimal process parameters are usually obtained by scanning single vectors and subsequently determining which settings lead to a good compromise between product density and build speed. This paper proposes a model that describes the effects occurring when scanning single vectors. Energy absorption and heat conduction are modeled to determine the temperature distribution and melt pool characteristics for different laser powers, scan speeds and layer thicknesses. The model shows good agreement with experimentally obtained scan vectors and can therefore be used to predict SLM process parameters.

Topics
  • density
  • melt
  • selective laser melting