Discrete Element Study of Aerogel Particle Dynamics in a Spouted Bed Apparatus

Antonyuk, Sergiy; Heinrich, Stefan; Смирнова, Ирина

doi:10.1002/ceat.201200083

Cited by 18 publications

(8 citation statements)

References 20 publications

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“…This issue is even more apparent in unstructured grid models, where fluid cells can have a variety of shapes and vary greatly in side-length and volume. In most papers on DEM-CFD with unstructured grids, fluid cell volumes and sidelengths are not quoted; however, in one paper, the side-length of the fluid grid was quoted as 2-10 times larger than the diameter of the particle 18 with the minimum volume of a CFD cell as 4.2 mm 3 , 16 times larger than that of the particles used 19 . Others 20 have used a volume for the fluid cells varying from 35 to 617 mm 3 , with the smallest cell having a volume 3.05 times that of the average particle in the simulation.…”

Section: Introductionmentioning

confidence: 99%

Limitations on Fluid Grid Sizing for Using Volume-Averaged Fluid Equations in Discrete Element Models of Fluidized Beds

Boyce

Holland

Scott

et al. 2015

Ind. Eng. Chem. Res.

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Bubbling and slugging fluidization were simulated in 3D cylindrical fluidized beds using a discrete element model with computational fluid dynamics (DEM-CFD). A CFD grid was used in which the volume of all fluid cells was equal. Ninety simulations were conducted with different fluid grid cell lengths in the vertical (dz) and radial (dr) directions to determine at what fluid grid sizes, as compared to the particle diameter (d p), the volume-averaged fluid equations broke down and the predictions became physically unrealistic. Simulations were compared with experimental results for time-averaged particle velocities as well as frequencies of pressure oscillations and bubble eruptions. The theoretical predictions matched experimental results most accurately when dz = 3-4 d p , with physically unrealistic predictions produced from grids with lower dz. Within the valid range of dz, variations of dr did not have a significant effect on the results.

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Section: Introductionmentioning

confidence: 99%

Limitations on Fluid Grid Sizing for Using Volume-Averaged Fluid Equations in Discrete Element Models of Fluidized Beds

Boyce

Holland

Scott

et al. 2015

Ind. Eng. Chem. Res.

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“…The great advantage of CFD‐DEM is that the trajectory of every particle in the simulation process can be obtained. CFD‐DEM was used to simulate the gas‐solid flow in a spouted bed, and the calculated results closely agreed with the experimental data . However, all of these studies focused on a gas‐solid flow at room temperature, and the heat transfer simulation by CFD‐DEM in a spouted bed has not been reported yet.…”

Section: Introductionmentioning

confidence: 58%

Numerical simulation of gas‐solid heat transfer behaviour in rectangular spouted bed

et al. 2015

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In order to investigate heat transfer behaviour at an individual particle scale, the particle cooling process in a rectangular spouted bed is simulated by the Computational Fluid Dynamics‐Discrete Element Method (CFD‐DEM). As the inlet gas velocity increases, the gas‐particle convective heat transfer in the jet region is intensified, while the convective heat transfer in the annular region is weakened. The inlet gas velocity also has an influence on the particle‐particle conductive heat transfer. Particle‐particle conductive heat transfer in the jet and fountain regions can both be enhanced by increasing inlet gas velocity, but this variation trend is opposite in the annular region. Additionally, the temperature distributions of particle and gas phases in the bed are also analyzed in detail. Compared with the infrared thermography experiment, the particle cooling process in the simulation results agrees closely with that in the experimental results.

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“…In our previous work [20], we simulated the two-phase spray nozzle with CFD-DEM to obtain the droplet distribution in the fluidized bed apparatus. In the next studies, this time-consuming simulation approach for the sprayed droplets was simplified with the spray domain [1,21] or homogenous wetting of all the particles in the bed [22]. These models are faster; however, they do not take into account the real droplet deposition processes in the spray zone.…”

Section: Introductionmentioning

confidence: 99%

CFD-DEM Simulation of a Coating Process in a Fluidized Bed Rotor Granulator

et al. 2020

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Coating of particles is a widely used technique in order to obtain the desired surface modification of the final product, e.g., specific color or taste. Especially in the pharmaceutical industry, rotor granulators are used to produce round, coated pellets. In this work, the coating process in a rotor granulator is investigated numerically using computational fluid dynamics (CFD) coupled with the discrete element method (DEM). The droplets are generated as a second particulate phase in DEM. A liquid bridge model is implemented in the DEM model to take the capillary and viscous forces during the wet contact of the particles into account. A coating model is developed, where the drying of the liquid layer on the particles, as well as the particle growth, is considered. The simulation results of the dry process compared to the simulations with liquid injection show an important influence of the liquid on the particle dynamics. The formation of liquid bridges and the viscous forces in the liquid layer lead to an increase of the average particle velocity and contact time. Changing the injection rate of water has an influence on the contact duration but no significant effect on the particle dynamics. In contrast, the aqueous binder solution has an important influence on the particle movement.

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Discrete Element Study of Aerogel Particle Dynamics in a Spouted Bed Apparatus

Cited by 18 publications

References 20 publications

Limitations on Fluid Grid Sizing for Using Volume-Averaged Fluid Equations in Discrete Element Models of Fluidized Beds

Limitations on Fluid Grid Sizing for Using Volume-Averaged Fluid Equations in Discrete Element Models of Fluidized Beds

Numerical simulation of gas‐solid heat transfer behaviour in rectangular spouted bed

CFD-DEM Simulation of a Coating Process in a Fluidized Bed Rotor Granulator

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