CFD–DEM study of gas–solid flow characteristics in a fluidized bed with different diameter of coarse particles

Zhou, Lian; Lv, Wanning; Liu, Bai; Han, Yong; Wang, J.; Shi, Weidong; Huang, Gaoyang

doi:10.1016/j.egyr.2022.01.174

Cited by 14 publications

(1 citation statement)

References 39 publications

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“…Balice et al 21 used the one-way coupling DEM model to study the deposition of droplets from 5 to 22 μm on the particle surface in a gas–solid fluidized bed, and the deposition factor was calculated and fitted to an empirical equation, which applies to the inertial region. Zhou et al 22 used a combination of DEM four-way coupling and high-speed photographic experiments for systematic analysis of particle physical parameters on the flow process inside the fluidized bed, and the results showed that the particle diameter showed a negative correlation with the maximum value of the bed height. Chen et al 23 discussed six different morphologies of fluidized beds on the basis of experimental studies with columnar particles, derived a theoretical model for the terminal velocity of columnar particles, and performed experimental validation.…”

Section: Introductionmentioning

confidence: 99%

Effects of Particle Diameter and Inlet Flow Rate on Gas–Solid Flow Patterns of Fluidized Bed

et al. 2023

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The complex multiscale characteristics of particle flow are notoriously difficult to predict. In this study, the evolution process of bubbles and the variation of bed height were investigated by conducting high-speed photographic experiments to verify the reliability of numerical simulations. The gas–solid flow characteristics of bubbling fluidized beds with different particle diameters and inlet flow rates were systematically investigated by coupling computational fluid dynamics (CFD) and discrete element method (DEM). The results show that the fluidization in the fluidized bed will change from bubbling fluidization to turbulent fluidization and finally to slugging fluidization, and the conversion process is related to the particle diameter and inlet flow rate. The characteristic peak is positively correlated with the inlet flow rate, but the frequency corresponding to the characteristic peak is constant. The time required for the Lacey mixing index (LMI) to reach 0.75 decreases with increasing inlet flow rate; at the same diameter, the inlet flow rate is positively correlated with the peak of the average transient velocity; and as the diameter increases, the distribution of the average transient velocity curve changes from “M” to linear. The results of the study can provide theoretical guidance for particle flow characteristics in biomass fluidized beds.

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Section: Introductionmentioning

confidence: 99%