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The effects of particle clustering on hindered settling in high-concentration particle suspensions

Published online by Cambridge University Press:  14 June 2021

Yinuo Yao*
Affiliation:
The Bob and Norma Street Environmental Fluid Mechanics Laboratory, Department of Civil and Environmental Engineering, Stanford University, Stanford, CA94305, USA Codiga Resource Recovery Center at Stanford, Department of Civil and Environmental Engineering, Stanford University, Stanford, CA94305, USA
Craig S. Criddle
Affiliation:
Codiga Resource Recovery Center at Stanford, Department of Civil and Environmental Engineering, Stanford University, Stanford, CA94305, USA
Oliver B. Fringer
Affiliation:
The Bob and Norma Street Environmental Fluid Mechanics Laboratory, Department of Civil and Environmental Engineering, Stanford University, Stanford, CA94305, USA
*
Email address for correspondence: yaoyinuo@stanford.edu

Abstract

We study the effects of Archimedes number $Ar$ and volume fraction $\phi$ in three-dimensional, high concentration and monodispersed particle suspensions. Simulations were conducted using the immersed boundary method with direct forcing for triply periodic cases and with $Ar = 21 - 23\,600$ and $\phi = 0.22 - 0.43$. We find that cluster formation is strongly dependent on the Archimedes number but weakly dependent on the volume fraction for concentrated suspensions. Particles in low $Ar$ cases are characterized by less frequent but long-lived clusters, resulting in higher hindered settling, while high $Ar$ cases consist of more frequent but short-lived clusters, leading to reduced hindered settling. By quantifying the effects of collisions on the hydrodynamic fluctuations, we show that the lifespan of clusters for the low $Ar$ cases is longer because particles are subject to appreciable wake interactions without collisions. On the other hand, clusters for high $Ar$ cases are broken before being subject to appreciable wake interactions due to frequent collisions, leading to a shorter cluster lifespan. The results imply that there exists an $Ar$ for particles in fluidized bed reactors that can reduce short circuiting due to clustering and enhance performance by maximizing flow–particle interactions. This result is consistent with existing reactor studies demonstrating that optimal particle diameters and $Ar$ values correspond to cases with short-lived clusters, although more thorough experimental studies are needed.

Type
JFM Papers
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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