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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Jaensson, Nick O.

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Eindhoven University of Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2024Numerical simulation of fiber orientation kinetics and rheology of fiber-filled polymers in uniaxial extension3citations
  • 2024In situ experimental investigation of fiber orientation kinetics during uniaxial extensional flow of polymer composites4citations
  • 2021Computational interfacial rheology56citations
  • 2019Modelling flow induced crystallization of IPP:multiple crystal phases and morphologies24citations
  • 2019Surface viscoelasticity in model polymer multilayers22citations
  • 2019Simulation of bubble growth during the foaming process and mechanics of the solid foam15citations
  • 2019Modelling flow induced crystallization of IPP24citations
  • 2018Temperature-dependent sintering of two viscous particles30citations
  • 2018Tensiometry and rheology of complex interfaces135citations

Places of action

Chart of shared publication
Cardinaels, Ruth M.
2 / 19 shared
Anderson, Pd Patrick
6 / 50 shared
Egelmeers, Thijs R. N.
2 / 2 shared
Vermant, Jan
1 / 17 shared
Troisi, Enrico M.
2 / 7 shared
Anderson, Patrick D.
1 / 6 shared
Peters, Gerrit W. M.
1 / 5 shared
Grosso, Giovanna
2 / 3 shared
Tervoort, Theo A.
1 / 14 shared
Alicke, Alexandra
1 / 3 shared
Tregouët, C.
1 / 2 shared
Vermant, J.
2 / 10 shared
Pepicelli, M.
1 / 3 shared
Schroyen, B.
1 / 3 shared
Monteux, C.
1 / 4 shared
Mitrias, C.
1 / 1 shared
Hulsen, Martien A.
2 / 10 shared
Egelmeers, T. R. N.
1 / 1 shared
Peters, Gwm Gerrit
1 / 39 shared
Balemans, C.
1 / 2 shared
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2019
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Co-Authors (by relevance)

  • Cardinaels, Ruth M.
  • Anderson, Pd Patrick
  • Egelmeers, Thijs R. N.
  • Vermant, Jan
  • Troisi, Enrico M.
  • Anderson, Patrick D.
  • Peters, Gerrit W. M.
  • Grosso, Giovanna
  • Tervoort, Theo A.
  • Alicke, Alexandra
  • Tregouët, C.
  • Vermant, J.
  • Pepicelli, M.
  • Schroyen, B.
  • Monteux, C.
  • Mitrias, C.
  • Hulsen, Martien A.
  • Egelmeers, T. R. N.
  • Peters, Gwm Gerrit
  • Balemans, C.
OrganizationsLocationPeople

article

Temperature-dependent sintering of two viscous particles

  • Jaensson, Nick O.
  • Anderson, Pd Patrick
  • Hulsen, Martien A.
  • Balemans, C.
Abstract

Selective laser sintering (SLS) is a promising additive manufacturing technique, where powder particles are fused together under the influence of a laser beam. To obtain good material properties in the final product, the powder particles need to form a homogeneous melt during the fabrication process. On the one hand, you want to give the particles enough time to fuse, such that the original shape is no longer visible, and interdiffusion of polymers can take place. On the other hand, you want the process to be as fast as possible. This is contradictory, thus choosing the right conditions is not trivial. We developed a computational model based on the finite element method to study the material and process parameters concerning the melt flow of the powder particles. In this work, we restrict ourselves to varying the temperature-dependent viscosity, the process parameters, and the convective heat transfer coefficient of the sintering of two polymer (polyamide 12) particles. The simulations allow for a quantitative analysis of the influence of the different material and processing parameters. From the simulations follows that an optimal sintering process has a low ambient temperature, a narrow beam width with enough power to heat the particles only a few degrees above the melting temperature, and a polymer of which the viscosity decreases significantly within these few degrees.

Topics
  • impedance spectroscopy
  • polymer
  • simulation
  • melt
  • viscosity
  • sintering
  • laser sintering
  • melting temperature
  • quantitative determination method
  • interdiffusion
  • static light scattering