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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693.932 PEOPLE
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Thijs, Leon C.

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Eindhoven University of Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2024A numerical study of emission control strategies in an iron powder burner6citations
  • 2023Effect of Fe–O ReaxFF on Liquid Iron Oxide Properties Derived from Reactive Molecular Dynamics12citations
  • 2023Particle Equilibrium Composition model for iron dust combustion30citations
  • 2023Combustion behavior of single iron particles:Part II: A theoretical analysis based on a zero-dimensional model38citations
  • 2023Combustion behavior of single iron particles38citations

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Chart of shared publication
Hazenberg, Thijs
1 / 1 shared
Van Oijen, Jeroen A.
2 / 7 shared
De Goey, Philip
2 / 25 shared
Kritikos, Efstratios M.
1 / 1 shared
Giusti, Andrea
1 / 3 shared
Van Ende, Marie-Aline
1 / 8 shared
Duin, Adri C. T. Van
1 / 6 shared
Van Gool, Catharina Elisabeth Adriana Gerardus
1 / 1 shared
Ramaekers, W. J. S.
1 / 2 shared
Jean-Philyppe, Joel
2 / 2 shared
Schiemann, Martin
2 / 2 shared
Bergthorson, Jeffrey M.
2 / 2 shared
Chang, Di
2 / 2 shared
Levendis, Yiannis A.
2 / 2 shared
Fujinawa, Aki
2 / 2 shared
Panahi, Aidin
2 / 2 shared
Mi, Xiaocheng
1 / 2 shared
Chart of publication period
2024
2023

Co-Authors (by relevance)

  • Hazenberg, Thijs
  • Van Oijen, Jeroen A.
  • De Goey, Philip
  • Kritikos, Efstratios M.
  • Giusti, Andrea
  • Van Ende, Marie-Aline
  • Duin, Adri C. T. Van
  • Van Gool, Catharina Elisabeth Adriana Gerardus
  • Ramaekers, W. J. S.
  • Jean-Philyppe, Joel
  • Schiemann, Martin
  • Bergthorson, Jeffrey M.
  • Chang, Di
  • Levendis, Yiannis A.
  • Fujinawa, Aki
  • Panahi, Aidin
  • Mi, Xiaocheng
OrganizationsLocationPeople

article

Combustion behavior of single iron particles

  • Jean-Philyppe, Joel
  • Schiemann, Martin
  • Bergthorson, Jeffrey M.
  • Chang, Di
  • Thijs, Leon C.
  • Levendis, Yiannis A.
  • Fujinawa, Aki
  • Panahi, Aidin
Abstract

<p>Following the ignition and solid-to-liquid phase transition of a fine (on the order of 10–100 µm in diameter) iron particle, the self-sustained combustion of a liquid-phase droplet of iron and its oxides takes place. The objective of the current work is to develop an interpretive and explanatory model for the liquid-phase combustion of a single fine iron particle. A zero-dimensional physicochemical model is developed assuming fast internal processes, such that the combustion rate is limited by the rate of external oxygen (O<sub>2</sub>) transport. The model considers a particle covered by a shell of liquid-phase FeO enclosing a core of liquid-phase Fe. Stefan flow and diffusion are considered for the gas-transport of O<sub>2</sub>, while the gas-transport of gas-phase Fe and FeO are calculated via diffusion only. The outward gas-phase Fe and FeO consume inward-transported O<sub>2</sub> to stoichiometrically form hematite (Fe<sub>2</sub>O<sub>3</sub>), and the remaining oxygen that reaches the particle surface is entirely consumed to form liquid-phase FeO. The time history of simulated particle temperature shows consistent overprediction of the peak particle temperature when compared to experimental temperature measurements, indicating that the assumption of fast internal kinetics may be incorrect. The model is also unable to capture the apparent slow cooling rate observed in experiments. A further analysis is performed through a heuristic model with a calibrated reaction-rate law, where the internal diffusion of reactive Fe and O ions may become rate-limiting. The calibration of the pre-exponential factor in the Arrhenius term to match the experimental peak temperature yielded good agreement of time to peak temperature, as well as the slow cooling rate. The heuristic model considering internal diffusion predicts a plateau in peak temperature with increasing oxygen concentration. Possible uncertainties of the models, as well as future work, are discussed.</p>

Topics
  • impedance spectroscopy
  • surface
  • experiment
  • Oxygen
  • reactive
  • phase transition
  • combustion
  • iron
  • liquid phase