CFD-DEM modeling and validation of solids drying in a gas-fluidized bed

M.J.A. de Munck, E.A.J.F. Peters (Corresponding author), J.A.M. Kuipers

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
44 Downloads (Pure)

Abstract

Fluidized beds are commonly used for industrial drying applications due to their excellent heat and mass transfer characteristics. These features are desired since solids drying is very energy-intensive. Computer models such as Computational Fluid Dynamics - Discrete Element Method (CFD-DEM) can be employed to facilitate the fundamental understanding of solids drying and as a tool to improve process design. A crucial step is model validation with experimental data. In this study, the CFD-DEM drying simulations are validated using a detailed one-to-one comparison with the experimental results of De Munck et al. (2022). The pressure drop over the bed, the solids volume fluxes, the particle temperatures, and the particle densities are presented and discussed. Reasonable agreement between the experiments and simulations is observed. Furthermore, a connection between the local bed hydrodynamics and the local solids density distribution is found.

Original languageEnglish
Article number119922
Number of pages15
JournalChemical Engineering Science
Volume291
DOIs
Publication statusPublished - 5 Jun 2024

Funding

This research received funding from the Dutch Research Council (NWO) in the framework of the ENW PPP Fund for the top sectors and from the Ministry of Economic Affairs in the framework of the “PPS-toeslagregeling”. Moreover, the authors would like to thank Michaela Eberbach for performing the TGA-DSC measurements.

FundersFunder number
Ministerie van Economische Zaken en Klimaat
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

    Keywords

    • CFD-DEM
    • Drying
    • Fluidized bed
    • Validation

    Fingerprint

    Dive into the research topics of 'CFD-DEM modeling and validation of solids drying in a gas-fluidized bed'. Together they form a unique fingerprint.

    Cite this