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 (2/2 displayed)

  • 2023Hydrodynamics inside packed beds of spherocylinders; Magnetic Resonance Imaging and Pore Network Modelling approachescitations
  • 2017Experimental and simulation study of heat transfer in fluidized beds with heat production49citations

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Baltussen, Maike
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Fathiganjehlou, Ali
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Romijn, Noah
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Bergmans, Yasmine
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Kuipers, Hans
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Peters, Frank
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Janssen, T. C. E.
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Deen, Niels G.
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Van Sint Annaland, Martin
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Chart of publication period
2023
2017

Co-Authors (by relevance)

  • Baltussen, Maike
  • Fathiganjehlou, Ali
  • Romijn, Noah
  • Bergmans, Yasmine
  • Kuipers, Hans
  • Peters, Frank
  • Li, Z.
  • Janssen, T. C. E.
  • Deen, Niels G.
  • Van Sint Annaland, Martin
OrganizationsLocationPeople

document

Hydrodynamics inside packed beds of spherocylinders; Magnetic Resonance Imaging and Pore Network Modelling approaches

  • Baltussen, Maike
  • Buist, Kay
  • Fathiganjehlou, Ali
  • Romijn, Noah
  • Bergmans, Yasmine
  • Kuipers, Hans
  • Peters, Frank
Abstract

Packed bed reactors are one of the central processing units of chemical and petrochemical industries. A detailed understanding of the hydrodynamics of the flow passing through packed bed reactors is of great importance in improving the design and performance of these reactors. One parameter that affects the hydrodynamics inside packed bed reactors is the packing configuration, i.e., the packing size and shape. The influence of the packing structure on the flow becomes more significant in the case of slender packed beds, where the column to particle diameter ratio is small. In this work, two approaches are employed to investigate the hydrodynamics in packed beds of spherocylinders with different aspect ratios: an experimental approach, Magnetic Resonance Imaging (MRI), and a numerical approach, Pore Network Modelling (PNM). The 3D structure images and the flow fields are obtained using two different sequences of MRI. From the structure images, pore network models are extracted. By implementing the numerical flow analysis on the pore network models, the flow fields are calculated from PNM and compared to the ones from MRI. The comparison shows a good correspondence between PNM and MRI, implying that PNM can describe hydrodynamics well in the slender packed beds of spherocylinders.

Topics
  • impedance spectroscopy
  • pore