A novel method to quantify gas–particle interactions in fluidized beds using <scp>3D</scp> ‐printed fluidization structures

Abstract Gas–particle interactions are fundamental to fluidized bed theory and computational fluid dynamics (CFD) simulations, yet hindered by inherent structural instability. This study pioneers a novel method using high‐fidelity 3D printing to manufacture stable fluidization structures (uniform, clusters, bubbles) with controlled solids holdup ( ε s , 0–0.65), particle diameter ( d p , 40–2000 μm), and geometries. Intrinsic pressure drops are measured via a custom experimental system, enabling drag coefficient quantification through energy balance. Validation against fixed beds (high ε s ) and liquid‐particle systems (medium/low ε s ) confirms &lt;5% ε s error and ±8% drag coefficient accuracy. The method can potentially be applied to resolve long‐standing discrepancies in gas–particle interaction models (e.g., drag variance &gt;118×), advance fluidization theories, and enable precise CFD optimization of fluidized beds.

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Publication Details

Journal
AIChE Journal
Published
2026-01-30
DOI
https://doi.org/10.1002/aic.70268
Primary Topic
Granular flow and fluidized beds
Type
article
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article

A novel method to quantify gas–particle interactions in fluidized beds using 3D ‐printed fluidization structures

Xiaoyang Wei, D. Li, Jesse Zhu, Wanlong Zhao et al.
AIChE Journal
Granular flow and fluidized beds
article

A novel method to quantify gas–particle interactions in fluidized beds using 3D ‐printed fluidization structures

Xiaoyang Wei, D. Li, Jesse Zhu, Wanlong Zhao, Yi Nie, Yinfeng He
article en

Abstract

Abstract Gas–particle interactions are fundamental to fluidized bed theory and computational fluid dynamics (CFD) simulations, yet hindered by inherent structural instability. This study pioneers a novel method using high‐fidelity 3D printing to manufacture stable fluidization structures (uniform, clusters, bubbles) with controlled solids holdup ( ε s , 0–0.65), particle diameter ( d p , 40–2000 μm), and geometries. Intrinsic pressure drops are measured via a custom experimental system, enabling drag coefficient quantification through energy balance. Validation against fixed beds (high ε s ) and liquid‐particle systems (medium/low ε s ) confirms &lt;5% ε s error and ±8% drag coefficient accuracy. The method can potentially be applied to resolve long‐standing discrepancies in gas–particle interaction models (e.g., drag variance &gt;118×), advance fluidization theories, and enable precise CFD optimization of fluidized beds.

AIChE Journal
Western University (CA), University of Nottingham Ningbo China (CN)
Affordable and clean energy
Openalex Percentile: Top 70%
Granular flow and fluidized beds
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