CFD-DEM simulation of fluidization of multisphere- modelled cylindrical particles

Farivar, Foad; Zhang, Hu; Tian, Zhao Feng; Gupte, Anshul

doi:10.1016/j.powtec.2019.11.016

Cited by 37 publications

(8 citation statements)

References 36 publications

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“…The Eulerian model not only considers the momentum exchange between the fluid phase and the solid phase but also the effect of solid particles on the fluid phase, and the impact airflow is mainly caused by the movement of ore. Therefore, the Eulerian model in the CFD-DEM coupling model is suitable for simulating the generation of the impact airflow in the ore pass and the general algorithm of the CFD-DEM model, 39 as shown in Figure 2 . The three-dimensional incompressible unsteady Navier–Stokes equation is chosen as the governing equation and the closed equations are established with the standard k-epsilon model.…”

Section: Mathematical Model and Physical Modelmentioning

confidence: 99%

Research on the Influencing Factors and Prediction Model of Impact Airflow in the Process of Unloading of an Ore Pass Based on a Coupled Computational Fluid Dynamics and Discrete Element Method

Wang

2021

ACS Omega

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In this paper, a coupled computational fluid dynamics and discrete element method (CFD-DEM) is used to numerically simulate the energy transfer of the ore falling process and the change law of impact airflow velocity under different influencing factors. The results are as follows: the total drag force is an important factor that determines the impact airflow velocity. The greater the total drag force, the greater the impact airflow velocity. The impact airflow velocity increases with the increase of mass flow rate and discharge height and decreases with the increase of ore size, and it is found that the discharge height has the greatest impact on the impact airflow velocity, the ore size is the second, and the mass flow rate is the smallest. Therefore, in the allowable range of mine production, the discharge height should be appropriately reduced. The mathematical model of the impact airflow velocity is obtained by multivariate nonlinear regression on the experimental results of orthogonal experiments.

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Section: Mathematical Model and Physical Modelmentioning

confidence: 99%

Research on the Influencing Factors and Prediction Model of Impact Airflow in the Process of Unloading of an Ore Pass Based on a Coupled Computational Fluid Dynamics and Discrete Element Method

Wang

2021

ACS Omega

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“…In addition to the traditional TFM model, many coupling algorithms [2,7,[23][24][25][26][27][28] have been proposed to simulate dense gas-solid two-phase flow effectively, most of these algorithms are aimed at specific working conditions, and have the characteristics of large limitations and single application range, so they are difficult to be popularized. In short, in the face of more complex simulation requirements, gas-solid coupling algorithm is more and more difficult to achieve a wide range of applications, accurate calculation and save computing resources and other aspects of comprehensive consideration, the improvement of its specificity is a new trend in the development of current numerical simulation.…”

Section: Drag Model and Coupling Algorithmmentioning

confidence: 99%

Research Progress on Numerical Simulation of Two-phase Flow in the Gas-solid Fluidized Bed

et al. 2021

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It is difficult to accurately measure the parameters of solid particles in the experiment of the gas-solid fluidized bed. The numerical simulation plays an important role to accurately describe flow characteristics in the fluidized bed. Combined with the research work of the research group, this paper analyzes the application of numerical simulation of fluidized bed from the aspects of gas-solid coupling algorithm, drag model, flow characteristics, and reaction characteristics based on the previous studies. The specificity improvement of the gas-solid coupling algorithm and the regional application of the drag model is the trend of the recent development of numerical simulation. Previous studies mainly focus on the gas-solid two-phase flow field characteristics in the traditional fluidized bed, but few on the complex flow characteristics such as gas-solid reverse flow and the coupling with reaction characteristics. It is of great significance for designing a novel fluidized bed reactor to realize gas-solid continuous reaction to establish and improve the numerical simulation method of gas-solid non-catalytic reaction.

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“…An applicable modeling approach for gas-solid multiphase flow involving nonspherical particles is computational fluid dynamics coupled with discrete element method (CFD-DEM) because of its unique advantages in considering the morphology of particles while providing access to the detailed information of individual particles. 15 Most recently, Mema et al, 6,14,16,17 Farivar et al, 18 Kruggel-Emden et al, 19 and Ma et al 5,20,21 numerically studied the flow behaviors and mixing characteristics of elongated particles in gas-solid fluidized beds. Guo et al 22,23 investigated the fluidization characteristics of flexible fibers with CFD-DEM, and they implemented a liquid-bridge force model to consider the cohesive forces of wet fibers.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, elongated particles are chosen as the representative of nonspherical particles because of their abundant applications in biomass utilization and their typical nonspherical features with comprehensive geometrics. To characterize the morphology of elongated particles, the multisphere model 18,53 and super-ellipsoid model 5,54 are routinely used.…”

Section: Introductionmentioning

confidence: 99%

Development and verification of coarse‐grain CFD‐DEM for nonspherical particles in a gas–solid fluidized bed

Zhou

Liu

et al. 2022

AIChE Journal

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Computational fluid dynamics coupled with discrete element method (CFD‐DEM) has been widely used to understand the complicated fundamentals inside gas–solid fluidized beds. To realize large‐scale simulations, CFD‐DEM integrated with coarse‐grain model (CG CFD‐DEM) provides a feasible solution, and has led to a recent upsurge of interest. However, when dealing with large‐scale simulations involving irregular‐shaped particles such as biomass particles featuring elongated shapes, current CG models cannot function as normal because they are all developed for spherical particles. To address this issue, a CG CFD‐DEM for nonspherical particles is proposed in this study, and the morphology of particles is characterized by the super‐ellipsoid model. The effectiveness and accuracy of CG CFD‐DEM for nonspherical particles are comprehensively evaluated by comparing the hydrodynamic behaviors with the results predicted by traditional CFD‐DEM in a gas–solid fluidized bed. It is demonstrated that the proposed model can accurately model gas–solid flow containing nonspherical particles, merely the particle dynamics are somewhat lost due to the scaleup of particle size. Finally, the calculation efficiency of CG CFD‐DEM is assessed, and the results show that CG CFD‐DEM can largely reduce computational costs mainly by improving the calculation efficiency of DEM. In general, the proposed CG CFD‐DEM for nonspherical particles strikes a good balance between efficiency and accuracy, and has shown its prospect as a high‐efficiency alternative to traditional CFD‐DEM for engineering applications involving nonspherical particles.

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CFD-DEM simulation of fluidization of multisphere- modelled cylindrical particles

Cited by 37 publications

References 36 publications

Research on the Influencing Factors and Prediction Model of Impact Airflow in the Process of Unloading of an Ore Pass Based on a Coupled Computational Fluid Dynamics and Discrete Element Method

Research on the Influencing Factors and Prediction Model of Impact Airflow in the Process of Unloading of an Ore Pass Based on a Coupled Computational Fluid Dynamics and Discrete Element Method

Research Progress on Numerical Simulation of Two-phase Flow in the Gas-solid Fluidized Bed

Development and verification of coarse‐grain CFD‐DEM for nonspherical particles in a gas–solid fluidized bed

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