<scp>CFD</scp>‐<scp>DEM</scp> Simulation Study on Heat and Mass Transfer of Wheat Particles in Gas–Solid Fluidized Bed

ABSTRACT Understanding the physical phenomena during fluidized bed drying is crucial. In this study, the dispersion and drying behavior of wheat particles under different fitting models were studied based on Computational Fluid Dynamics–Discrete Element Method. The impact of air parameters on heat and moisture transfer was revealed. The results indicate that the particle dispersion coefficient ranges from 10 −3 to 10 −1 m 2 s −1 . The drying non‐uniformity in the fluidized bed increases with time, while the heating rate gradually decreases. The accumulation of particles in the bottom region is identified as the primary cause of drying non‐uniformity. For the 5S and 7S models, the standard deviation of particle moisture distribution and bed heating rate during drying differs by ~1%. Air temperature emerges as the key factor affecting drying rate, and variations in air velocity can mitigate the non‐uniformity of drying in the fluidized bed. These findings contribute to optimizing fluidized bed drying systems.

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Publication Details

Journal
Journal of Food Process Engineering
Published
2025-01-01
DOI
https://doi.org/10.1111/jfpe.70036
Citations
5
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
6.67
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article

CFD‐DEM Simulation Study on Heat and Mass Transfer of Wheat Particles in Gas–Solid Fluidized Bed

Kaimin Yang, Xin Li, Yuancheng Wang, Xinming Du
5 citations
Journal of Food Process Engineering
Granular flow and fluidized beds
6.67
article

CFD‐DEM Simulation Study on Heat and Mass Transfer of Wheat Particles in Gas–Solid Fluidized Bed

Kaimin Yang, Xin Li, Yuancheng Wang, Xinming Du
article en
5 citations

Abstract

ABSTRACT Understanding the physical phenomena during fluidized bed drying is crucial. In this study, the dispersion and drying behavior of wheat particles under different fitting models were studied based on Computational Fluid Dynamics–Discrete Element Method. The impact of air parameters on heat and moisture transfer was revealed. The results indicate that the particle dispersion coefficient ranges from 10 −3 to 10 −1 m 2 s −1 . The drying non‐uniformity in the fluidized bed increases with time, while the heating rate gradually decreases. The accumulation of particles in the bottom region is identified as the primary cause of drying non‐uniformity. For the 5S and 7S models, the standard deviation of particle moisture distribution and bed heating rate during drying differs by ~1%. Air temperature emerges as the key factor affecting drying rate, and variations in air velocity can mitigate the non‐uniformity of drying in the fluidized bed. These findings contribute to optimizing fluidized bed drying systems.

Journal of Food Process EngineeringVol. 48(1)
Shandong Jianzhu University (CN)
Openalex Percentile: Top 4%
Granular flow and fluidized beds
6.67
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<scp>CFD</scp>‐<scp>DEM</scp> Simulation Study on Heat and Mass Transfer of Wheat Particles in Gas–Solid Fluidized Bed — Kaimin Yang, Xin Li, et al. · Journal of Food Process Engineering (2025) | TGRS Research Map | TGRS