CFD-DEM simulation of fluidized bed with an immersed tube using a coarse-grain model

Zhou, Lianyong; Zhao, Yongzhi

doi:10.1016/j.ces.2020.116290

Cited by 41 publications

(13 citation statements)

References 54 publications

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“…The above phenomenon is consistent with the conclusion of Liu et al [22] But the direction is completely opposite to the traditional core-annular structure in the gas-solid fluidized bed. [39][40][41][42][43]…”

Section: The Effect Of Superficial Gas Velocitymentioning

confidence: 99%

Euler multiphase‐CFD simulation on a bubble‐driven gas–liquid–solid fluidized bed

2022

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An integrated flow model was developed to simulate the fluidization hydrodynamics in a new bubble‐driven gas–liquid–solid fluidized bed using the computational fluid dynamic (CFD) method. The results showed that axial solids holdup is affected by grid size, bubble diameter, and the interphase drag models used in the simulation. Good agreements with experimental data could be obtained by adopting the following parameters: 5 mm grid, 1.2 mm bubble diameter, the Tomiyama gas–liquid model, the Schiller–Naumann liquid–solid model, and the Gidaspow gas–solid model. At full fluidization state, an internal circulation of particles flowing upward near the wall and downward in the centre is observed, which is in the opposite direction compared with the traditional core‐annular flow structure in a gas–solid fluidized bed. The simulated results are very sensitive to bubble diameters. Using smaller bubble diameters would lead to excessive liquid bed expansions and more solid accumulated at the bottom due to a bigger gas–liquid drag force, while bigger bubble diameters would result in a higher solid bed height caused by a smaller gas–solid drag force. Considering the actual bubble distribution, population balance model (PBM) is employed to characterize the coalescence and break up of bubbles. The calculated bubble diameters grow up from 2–4 mm at the bottom to 5–10 mm at the upper section of the bed, which are comparable to those observed in experiments. The simulation results could provide valuable information for the design and optimization of this new type of fluidized system.

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Section: The Effect Of Superficial Gas Velocitymentioning

confidence: 99%

Euler multiphase‐CFD simulation on a bubble‐driven gas–liquid–solid fluidized bed

2022

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“…In the DEM model, the translational motion and rotational motion of a particle can be described according to Newton's laws of motion [19,20], which are:…”

Section: Dem Modelmentioning

confidence: 99%

Investigation of Movement and Deposition Behaviors of Solid Particles in Hydraulic Water Reservoir via the CFD-DEM Coupling Method

Kong

Guo

et al. 2022

Chin. J. Mech. Eng.

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Solid contamination existing as solid particles in power fluid transmission systems may lead to transmission performance reduction, system failures, and component damage. The hydraulic reservoir will deposit the contamination and store hydraulic fluid. To investigate its purification ability for solid contamination, experiments and simulations for the motion and deposition status of the typical hydraulic system particles are carried out to reveal the interaction of particles and fluid in hydraulic water reservoirs. The results show that the CFD-DEM coupling method could predict the accurate deposition position of iron particles and sand particles when ignoring the small-scale turbulence effect in the flow field. Besides, the particle motion traces and deposition patterns in the reservoir illustrate that the flow development on the bottom surface results in the particles turning, and particles tend to settle in the low flow energy position. The motion of particles is also linked to particles Stokes number, and the same-size sand particles are easily driven by the fluid. The contribution of this paper could provide a guide for predicting the particle motion and deposition pattern in the hydraulic reservoir.

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“…Treatment of the erosion of tubes in bubbling fluidized beds was investigated by Zhou and Zhao [108].…”

Section: Recent Promising Extensions and Open Problems 61 Physical Modelsmentioning

confidence: 99%

Coarse-Grain DEM Modelling in Fluidized Bed Simulation: A Review

2021

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In the last decade, a few of the early attempts to bring CFD-DEM of fluidized beds beyond the limits of small, lab-scale units to larger scale systems have become popular. The simulation capabilities of the Discrete Element Method in multiphase flow and fluidized beds have largely benefitted by the improvements offered by coarse graining approaches. In fact, the number of real particles that can be simulated increases to the point that pilot-scale and some industrially relevant systems become approachable. Methodologically, coarse graining procedures have been introduced by various groups, resting on different physical backgrounds. The present review collects the most relevant contributions, critically proposing them within a unique, consistent framework for the derivations and nomenclature. Scaling for the contact forces, with the linear and Hertz-based approaches, for the hydrodynamic and cohesive forces is illustrated and discussed. The orders of magnitude computational savings are quantified as a function of the coarse graining degree. An overview of the recent applications in bubbling, spouted beds and circulating fluidized bed reactors is presented. Finally, new scaling, recent extensions and promising future directions are discussed in perspective. In addition to providing a compact compendium of the essential aspects, the review aims at stimulating further efforts in this promising field.

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CFD-DEM simulation of fluidized bed with an immersed tube using a coarse-grain model

Cited by 41 publications

References 54 publications

Euler multiphase‐CFD simulation on a bubble‐driven gas–liquid–solid fluidized bed

Euler multiphase‐CFD simulation on a bubble‐driven gas–liquid–solid fluidized bed

Investigation of Movement and Deposition Behaviors of Solid Particles in Hydraulic Water Reservoir via the CFD-DEM Coupling Method

Coarse-Grain DEM Modelling in Fluidized Bed Simulation: A Review

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