CFD–DEM simulation of fine particles in a spouted bed apparatus with a Wurster tube

Breuninger, Paul; Weis, Dominik; Behrendt, Isabell; Grohn, Philipp; Krull, Fabian; Antonyuk, Sergiy

doi:10.1016/j.partic.2018.03.015

Cited by 43 publications

(19 citation statements)

References 41 publications

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“…This creates the so-called "liquid layer" on the particle or grid cell of the wall. With the assumption of an ideal wetting over the entire particle surface and cell surface, the film thickness could be calculated as expressed in Equations (13) and (14).…”

Section: Coating Modelmentioning

confidence: 99%

“…With CFD, the flow field of the gas in the processing apparatus can be determined, which treats the fluid phase as a continuum. In DEM, the interactions are calculated for every single particle based on models describing the physical properties of the particles, such as the adhesion, and their mechanical behavior during slow, fast, and repeated stressing [12,13].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Coating Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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“…Since being introduced, the processing of wet and fine particles in spouted beds has attracted much attention. Breuninger et al simulated the dynamics of fine particles, and verified their model with a high‐speed camera. Xu et al identified the behaviour of wet particles with CFD‐DEM, and found that the cohesive forces inhibit the spouting process.…”

Section: Introductionmentioning

confidence: 99%

Region‐dependent analysis on particle behaviours in a spout‐fluidized bed using the discrete hard sphere particle method

Wang

Ren

et al. 2020

Can J Chem Eng

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Discrete hard sphere particle models and improved large eddy simulations are utilized to investigate the relationship between gas channels and particle behaviour, and the spatial characteristics of particles are explored through region-dependent analysis. A spout-fluidized bed can be divided into upper and lower parts according to clear differences in particle behaviour. Particle motion in the lower section is driven by the gas channel generation process, which leads to a strong gas-solid interaction. In the upper section, strong gassolid interactions occur only in the vicinity of the gas-channel. We find that the complex generation, evolution, and dissolution of the gas channel is anisotropic, which leads to spatial variations in particle behaviour. The influence of various models and operation parameters are investigated, and our results can be used to optimize the design of reactors and enhance gas-solid interactions. K E Y W O R D S DPM, gas channel, LES, spout-fluidized bed

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“…Recently, for the simulation work, increasing papers have been published on the numerical simulation of hydrodynamics of non-spherical particles in the gas-solid fluidized beds. Comparatively speaking, more attention has been paid to discrete element method (DEM) (Gan et al 2017;Breuninger et al 2019;Han et al 2015;Chung et al 2013;Marchelli et al 2019;Khawaja 2018). Fewer TFM (two-fluid model) works on fluidization behavior of non-spherical particles in gas-solid fluidized bed have been reported.…”

Section: Introductionmentioning

confidence: 99%

Simulation on hydrodynamics of non-spherical particulate system using a drag coefficient correlation based on artificial neural network

et al. 2019

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Fluidization of non-spherical particles is very common in petroleum engineering. Understanding the complex phenomenon of non-spherical particle flow is of great significance. In this paper, coupled with two-fluid model, the drag coefficient correlation based on artificial neural network was applied in the simulations of a bubbling fluidized bed filled with non-spherical particles. The simulation results were compared with the experimental data from the literature. Good agreement between the experimental data and the simulation results reveals that the modified drag model can accurately capture the interaction between the gas phase and solid phase. Then, several cases of different particles, including tetrahedron, cube, and sphere, together with the nylon beads used in the model validation, were employed in the simulations to study the effect of particle shape on the flow behaviors in the bubbling fluidized bed. Particle shape affects the hydrodynamics of non-spherical particles mainly on microscale. This work can be a basis and reference for the utilization of artificial neural network in the investigation of drag coefficient correlation in the dense gas-solid two-phase flow. Moreover, the proposed drag coefficient correlation provides one more option when investigating the hydrodynamics of non-spherical particles in the gas-solid fluidized bed.

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CFD–DEM simulation of fine particles in a spouted bed apparatus with a Wurster tube

Cited by 43 publications

References 41 publications

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

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

Region‐dependent analysis on particle behaviours in a spout‐fluidized bed using the discrete hard sphere particle method

Simulation on hydrodynamics of non-spherical particulate system using a drag coefficient correlation based on artificial neural network

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