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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Van Oijen, Jeroen A.

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Eindhoven University of Technology

in Cooperation with on an Cooperation-Score of 37%

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Publications (7/7 displayed)

  • 2024A numerical study of emission control strategies in an iron powder burner6citations
  • 2024Numerical study probing the effects of preferential concentration on the combustion of iron particles in a mixing layer3citations
  • 2023Particle Equilibrium Composition model for iron dust combustion30citations
  • 2023Size evolution during laser-ignited single iron particle combustion46citations
  • 2021Burn time and combustion regime of laser-ignited single iron particle99citations
  • 2009Visualization of biomass pyrolysis and temperature imaging in a heated-grid reactor15citations
  • 2008Reverse combustion : kinetically controlled and mass transfer controlled front structures5citations

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Hazenberg, Thijs
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Thijs, Leon C.
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De Goey, Philip
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Cuenot, Bénédicte
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Hemamalini, Shyam
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Van Gool, Catharina Elisabeth Adriana Gerardus
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Ramaekers, W. J. S.
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Finotello, Giulia
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Co-Authors (by relevance)

  • Hazenberg, Thijs
  • Thijs, Leon C.
  • De Goey, Philip
  • Cuenot, Bénédicte
  • Hemamalini, Shyam
  • Van Gool, Catharina Elisabeth Adriana Gerardus
  • Ramaekers, W. J. S.
  • Finotello, Giulia
  • Shoshin, Yuriy
  • Ning, Daoguan
  • Bastiaans, Rob J. M.
  • Aldén, L. E. M.
  • Lindén, J.
  • Prins, M. J.
  • Li, Z. S.
  • Van, H. A. J. A. Kuijk
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article

Numerical study probing the effects of preferential concentration on the combustion of iron particles in a mixing layer

  • Cuenot, Bénédicte
  • Hemamalini, Shyam
  • Van Oijen, Jeroen A.
Abstract

<p>The iron power cycle is a novel carbon-free energy storage technology that has seen considerable advancement over the past few years. The design of large-scale industrial iron powder combustors relies on a good understanding of not only the combustion process of Fe particles but also the interaction of the burning particles with complex turbulent flow structures. Preferential concentration is one such effect observed in turbulent particle-laden flows, that clusters particles into regions of high particle concentrations. To simulate such phenomena of particle-flow interactions for reacting Fe particles, we first establish a numerical framework based on a coupled Eulerian–Lagrangian approach and a switch-type Fe combustion model. A mixing layer is chosen as the canonical flow scenario to simulate particle-flow interactions. In the present work, the effects of preferential concentration on different particle sizes d<sub>p</sub>=14,20,28,39,55µm are captured and examined. The smaller particles with d<sub>p</sub>≤20µm retain the structure of the mixing layer whereas the larger particles d<sub>p</sub>≥28µm perturb the mixing layer and significantly alter the imposed flow structure. In the present work, we use minimum spacing δ<sub>min</sub>, normalized by the mean interparticle distance δ̄, to quantify particle clustering through preferential concentration. In the cases with sufficiently larger particles (d<sub>p</sub>≥28µm), particles with longer burn times τ<sub>B</sub> statistically exhibit lower values of minimum spacing, indicating particle clustering which results in the localized depletion of O<sub>2</sub>. A comparison of minimum spacing with simulations of inert particles shows a deviation in the mean and mode of minimum spacing for 39µm particles that coincide with the overall combustion burnout times. This deviation is attributed qualitatively to the modification of the particle relaxation and flow timescales as a consequence of particle combustion. Further analysis to quantify the timescales involved in Fe combustion might be beneficial in achieving deeper insight into this deviation.</p>

Topics
  • impedance spectroscopy
  • cluster
  • Carbon
  • simulation
  • combustion
  • iron
  • clustering
  • iron powder