Particle Adhesion Effects on Particle Size Distribution of Titania Nanoparticle Agglomerates in a Conical Fluidized Bed: A Computational Fluid Dynamics and Discrete Element Method Adhesive Approach

Bahramian, Alireza; Olazar, Martin

doi:10.1021/acs.iecr.3c03372

Cited by 1 publication

(1 citation statement)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results illustrate an important relationship between the microscopic and the macroscopic properties of the fluidization of cohesive particles. Bahramian et al numerically studied the impact of adhesion force and surface cohesiveness on the minimum fluidization velocity and PSD of nanoparticle agglomerates by applying a coupled CFD-DEM approach. However, the model is computationally intensive and cannot be directly applied to large-scale, or even laboratory-scale fluidized beds …”

Section: Introductionmentioning

confidence: 99%

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

Wu,

Liu,

van Wachem

et al. 2024

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%