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 (10/10 displayed)

  • 2022Numerical Modeling of the Blend Morphology Evolution in Twin-Screw Extruders1citations
  • 2022Constitutive framework for rheologically complex interfaces with an application to elastoviscoplasticity8citations
  • 2021Numerical simulations of the polydisperse droplet size distribution of disperse blends in complex flow5citations
  • 2020Numerical analysis of the crystallization kinetics in SLS24citations
  • 2020On the validity of 2D analysis of non-isothermal sintering in SLS10citations
  • 2019Simulation of bubble growth during the foaming process and mechanics of the solid foam15citations
  • 2018Temperature-dependent sintering of two viscous particles30citations
  • 2017Sintering of two viscoelastic particles: a computational approach23citations
  • 2016Predicting the fountain flow instabilitycitations
  • 2006On the streamfunction-vorticity formulation in sliding bi-period frames : application to bulk behavior for polymer blends9citations

Places of action

Chart of shared publication
Wong, Wing-Hin B.
2 / 2 shared
Anderson, Pd Patrick
10 / 50 shared
De Bie, Vincent G.
1 / 2 shared
Hütter, Markus
1 / 5 shared
Carrozza, M. A.
1 / 1 shared
Janssen, Pieter J. A.
1 / 1 shared
Balemans, Caroline
2 / 2 shared
Looijmans, Stan F. S. P.
1 / 16 shared
Grosso, Giovanna
1 / 3 shared
Mitrias, C.
1 / 1 shared
Jaensson, Nick O.
2 / 9 shared
Egelmeers, T. R. N.
1 / 1 shared
Balemans, C.
2 / 2 shared
Smit, T. M.
1 / 1 shared
Bogaerds, A. C. B.
1 / 3 shared
Keestra, B. J.
1 / 5 shared
Chart of publication period
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Co-Authors (by relevance)

  • Wong, Wing-Hin B.
  • Anderson, Pd Patrick
  • De Bie, Vincent G.
  • Hütter, Markus
  • Carrozza, M. A.
  • Janssen, Pieter J. A.
  • Balemans, Caroline
  • Looijmans, Stan F. S. P.
  • Grosso, Giovanna
  • Mitrias, C.
  • Jaensson, Nick O.
  • Egelmeers, T. R. N.
  • Balemans, C.
  • Smit, T. M.
  • Bogaerds, A. C. B.
  • Keestra, B. J.
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