Volume 104
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Liu, H., Hu, S., & Liu, X. (2025). Subgrid drag models for simulating circulating turbulent fluidized beds of Geldart A particles. Particuology, 104, 302-312. https://doi.org/10.1016/j.partic.2025.07.012
Subgrid drag models for simulating circulating turbulent fluidized beds of Geldart A particles
Hongji Liu a b, Shanwei Hu a b *, Xinhua Liu a b *
a State Key Laboratory of Mesoscience and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijingm, 100190, China
b School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
10.1016/j.partic.2025.07.012
Volume 104, September 2025, Pages 302-312
Received 13 May 2025, Revised 9 July 2025, Accepted 15 July 2025, Available online 19 July 2025, Version of Record 29 July 2025.
E-mail: swhu@ipe.ac.cn; xhliu@ipe.ac.cn

Highlights

• Eulerian CFD simulation of circulating-turbulent fluidized beds was performed.

• Simulations using seven drag models were carried out and compared.

• Homogeneous models underestimate the bed density and RNI of voidage.

• Mesoscale drag models achieve consistent results with the experimental data.

• EMMS model based on PBM outperforms others with the lowest errors.


Abstract

The novel circulating turbulent fluidized bed (CTFB) technology has found wide applications in various processes owing to its high solid circulation rate and low backmixing. However, up to now, only a limited number of CFD simulation studies on this type of reactor can be found in the literature. Moreover, there is currently no guidance available for selecting appropriate subgrid drag models that take into account the impact of mesoscale structures. In this work, a two-fluid model incorporating seven different drag models include homogeneous drag models, filtered models, and EMMS-based drag models was employed to conduct a systematic investigation into the hydrodynamics of CTFB reactors. It was found that the flow structure in the CTFB reactor differs significantly from conventional fast fluidized beds, exhibiting relatively weaker radial heterogeneity and attenuated near-wall particle downward flows. Comparative analysis demonstrates that the homogeneous drag models fail to predict reasonable hydrodynamics consistent with the experiments. In contrast, the mesoscale drag models show satisfactory performance in reproducing solid concentration profiles, while additional marker variables should be considered in the drag models to enhance the prediction accuracy of particle velocity. The EMMS-based drag model with an advanced conservation equation for cluster size achieves better accuracy in predicting both solid concentration and velocity distributions. Nevertheless, future model development should address wall boundary effects to enhance mesoscale drag applicability in CTFB simulations.

Graphical abstract
Keywords
Circulating turbulent fluidized bed; Fluidization; Computational fluid dynamics; Population balance model; EMMS; Mesoscale structure