Simulation of Nanoparticle Agglomerate Fluidization Based on Continuum Theory of Cohesive Particles

Journal Article (2024)
Author(s)

Yan Wu (Southeast University)

Daoyin Liu (Southeast University)

Berend G.M. van Wachem (Otto-von-Guericke University)

J. Ruud van Ommen (TU Delft - ChemE/Product and Process Engineering)

DOI related publication
https://doi.org/10.1021/acs.iecr.4c00310 Final published version
More Info
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Publication Year
2024
Language
English
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Journal title
Industrial and Engineering Chemistry Research
Volume number
63
Pages (from-to)
753-7464
Downloads counter
240
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Abstract

Nanoparticles are usually fluidized as agglomerates, which are in dynamic states of agglomeration and fragmentation. It is critical to consider the size distribution of agglomerates in modeling of the fluidization of nanoparticle agglomerates. In this article, the fluidization behavior of nanoparticle agglomerates is investigated using a two-fluid model─population balance model. The model includes the agglomeration and breakage kernel functions based on the continuum theory of cohesive particles developed by Kellogg et al. (J. Fluid Mech. 2017;832:345-382). The ratio of the critical breakage velocity to the critical agglomeration velocity is defined to represent the cohesion of nanoparticles. The predictions of bed pressure drop, bed expansion ratio, and bed collapse curves agree well with those of experiments. By changing the critical agglomeration velocity and the ratio between the critical velocities, the transition from almost defluidization to uniform fluidization is predicted. Finally, the model’s ability to simulate the fluidization of fine particles with a few micrometers is also shown. This study provides a practical tool for simulating the fluidization of nanoparticle agglomerates.

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