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 (5/5 displayed)

  • 2020Design of Automated Robotic System for Draping Prepreg Composite Fabrics12citations
  • 2020Design of Automated Robotic System for Draping Prepreg Composite Fabrics12citations
  • 2018A method for the characterization of the reflectance of anisotropic functional surfaces5citations
  • 2017An image-based method for objectively assessing injection moulded plastic qualitycitations
  • 2017A comparison of reflectance properties on polymer micro-structured functional surfacecitations

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Chart of shared publication
Glud, Jens Ammitzbøll
2 / 3 shared
Kristiansen, Ewa
2 / 8 shared
Hannemose, Morten
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Wilm, Jakob
2 / 5 shared
Ellekilde, Lars-Peter
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Kristiansen, Morten
2 / 12 shared
Stærk Stenvang, Thor
1 / 1 shared
Sveidahl, Ingolf
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Ikram, Asim
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Nielsen, Ole Wennerberg
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Jakobsen, Johnny
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Petersen, Henrik Gordon
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Gunnarsson, Gudmundur Geir
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Krogh, Christian
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De Kruijk, Joakim
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Stenvang, Thor Stærk
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Kruijk, Joakim De
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Tosello, Guido
2 / 101 shared
Zhang, Yang
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Frisvad, Jeppe Revall
2 / 7 shared
Regi, Francesco
2 / 7 shared
Li, Dongya
2 / 4 shared
Nielsen, J. B.
1 / 1 shared
Zsíros, László
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Hannemose, Morten Rieger
1 / 1 shared
Nielsen, Jannik Boll
2 / 4 shared
Madsen, M. H.
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2020
2018
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Co-Authors (by relevance)

  • Glud, Jens Ammitzbøll
  • Kristiansen, Ewa
  • Hannemose, Morten
  • Wilm, Jakob
  • Ellekilde, Lars-Peter
  • Kristiansen, Morten
  • Stærk Stenvang, Thor
  • Sveidahl, Ingolf
  • Ikram, Asim
  • Nielsen, Ole Wennerberg
  • Jakobsen, Johnny
  • Petersen, Henrik Gordon
  • Gunnarsson, Gudmundur Geir
  • Krogh, Christian
  • De Kruijk, Joakim
  • Stenvang, Thor Stærk
  • Kruijk, Joakim De
  • Tosello, Guido
  • Zhang, Yang
  • Frisvad, Jeppe Revall
  • Regi, Francesco
  • Li, Dongya
  • Nielsen, J. B.
  • Zsíros, László
  • Hannemose, Morten Rieger
  • Nielsen, Jannik Boll
  • Madsen, M. H.
OrganizationsLocationPeople

article

A method for the characterization of the reflectance of anisotropic functional surfaces

  • Tosello, Guido
  • Zhang, Yang
  • Frisvad, Jeppe Revall
  • Regi, Francesco
  • Li, Dongya
  • Aanæs, Henrik
  • Nielsen, J. B.
Abstract

The functional properties of micro-structured surfaces have gained increasing interest thanks to many applications such as wetting, adhesion, thermal and/or electrical conductivity. In this study, directional optical properties, i.e. contrast between two regions of a surface, were achieved with an anisotropic microstructure composed of a close array of ridges. The anisotropic surface, designed as a combination of ridges, has been milled on a steel bar and replicated through hot embossing of Acrylonitrile butadiene styrene (ABS) and through replica technology using silicone rubber. The directional reflectance of the surface for a range of design-specific view-illumination configurations was determined using a method that involves a Hirox RH-2000 digital microscope, used as a gonioreflectometer. This method allows the empirical determination of the optimum surface microstructure for maximizing contrast between two horizontally orthogonal views. The results show that even if the uncertainty related to the instrumentation is up to 20% in some cases, this procedure is suitable for the characterization of the surface of both metal and plastic counterpart.

Topics
  • impedance spectroscopy
  • microstructure
  • surface
  • anisotropic
  • steel
  • rubber
  • electrical conductivity