CFD–DEM simulation of wet granular-fluid flows and heat transfer in an integral multi-jet spout-fluidized bed

Guo, Rong; Bai, Jinhao; Wu, Feng; Wang, Junwu; Ma, Xiaoxun; Hui, Zhiquan

doi:10.1016/j.powtec.2022.117384

Cited by 21 publications

(6 citation statements)

References 33 publications

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“…However, they have been widely applied to 2D fluid-particle simulation (e.g. 44,45 due to the lack of better drag models for 2D simulations. In this work, based on our high-resolution simulations, we attempt to propose a drag model for geotechnical problems where dense particle packings are always encountered.…”

Section: A New Drag Model For 2d Casesmentioning

confidence: 99%

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Revisiting the empirical particle‐fluid coupling model used in DEM‐CFD by high‐resolution DEM‐LBM‐IMB simulations: A 2D perspective

Zeng

Feng

et al. 2023

Num Anal Meth Geomechanics

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The work investigates the applicability of the unresolved Computational Fluid Dynamics and Discrete Element Method (CFDDEM) technique based on empirical equations for fluid-particle coupling. We first carry out a series of representative volume element simulations using the high-resolution particleresolved Lattice Boltzmann method and Discrete Element Method (LBMDEM) coupled by an Immersed Moving Boundary (IMB) scheme. Then, we compare the results obtained by both LBMDEM and empirical equations used in unresolved CFDDEM with analytical solutions. It is found that the existing empirical equations used in solving fluid-particle interactions in 2D CFDDEM fail to accurately calculate the hydrodynamic force applied to solid particles. The underlying reason is that the existing empirical models are obtained based on 3D experimental results and thus are not applicable to 2D problems. Based on the simulation results, a new drag coefficient model is then proposed. The estimated drag forces using the new model are compared favourably with the simulated ones, indicating the good performance of the proposed model.

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Section: A New Drag Model For 2d Casesmentioning

confidence: 99%

“…As discussed earlier, the prediction performances of the Gidaspow and Di Felice models are not satisfactory for 2D problems. However, they have been widely applied to 2D fluid‐particle simulation (e.g 44,45 . due to the lack of better drag models for 2D simulations.…”

Section: A New Drag Model For 2d Casesmentioning

confidence: 99%

Revisiting the empirical particle‐fluid coupling model used in DEM‐CFD by high‐resolution DEM‐LBM‐IMB simulations: A 2D perspective

Zeng

Feng

et al. 2023

Num Anal Meth Geomechanics

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“…The particle motion follows Newton’s second law, described by where F c, i denotes the contact force. T t, ij and T n , ij are the torques generated by the tangential force and normal force, respectively.…”

Section: Mathematical Modelmentioning

confidence: 99%

Estimation of the Fluidization Behavior of Nonspherical Wet Particles with Liquid Transfer

Wang

2022

Ind. Eng. Chem. Res.

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Many industrial processes involve wet-particle systems. Particle shape influences the liquid transfer and interaction between particles in wet-particle systems. In this work, a spouted fluidized-bed system with nonspherical wet particles is investigated, where the liquid transfer model is implemented in the CFD-DEM framework to consider the redistribution of liquid content after the collision of nonspherical wet particles. The behaviors of spherical and nonspherical wet particles in a spouted fluidized bed are compared. The results demonstrate that nonspherical wet particles can strengthen the liquid bridge force and particle agglomeration in contrast to spherical wet particles. The liquid transfer results in a clear discrepancy of liquid content on the particle surface. The multiple contacts with neighboring particles inside the agglomeration reduce the liquid content on the particle surface, which is enhanced under a higher aspect ratio.

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“…To study the details of transport phenomena that occur in fluidized beds at the particle level, CFD-DEM has been mainly employed [16][17][18]. Although CFD-DEM is generally used to model fluidized beds, its computational costs limit its application to a relatively small scale.…”

Section: Introductionmentioning

confidence: 99%

Efficiency Analysis of the Discrete Element Method Model in Gas‐Fluidized Beds

Aghel,

Alobaid,

Graf

et al. 2023

Chem Eng & Technol

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The efficiency and accuracy of the Euler‐Lagrange/discrete element method model were investigated. Accordingly, the stiffness coefficient and fluid time step were changed for different particle numbers and diameters. To derive the optimum parameters for simulations, the obtained results were compared with the measurements. According to the results, the application of higher stiffness coefficients improves the simulation accuracy slightly, however, the average computing time increases exponentially. For time intervals larger than 5 ms, the results indicated that the average computation time is independent of the applied fluid time step, while the simulation accuracy decreases extremely by increasing the size of the fluid time step. Nevertheless, using time steps smaller than 5 ms leads to negligible improvements in the simulation accuracy, though to an exponential rise in the average computing time.

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CFD–DEM simulation of wet granular-fluid flows and heat transfer in an integral multi-jet spout-fluidized bed

Cited by 21 publications

References 33 publications

Revisiting the empirical particle‐fluid coupling model used in DEM‐CFD by high‐resolution DEM‐LBM‐IMB simulations: A 2D perspective

Revisiting the empirical particle‐fluid coupling model used in DEM‐CFD by high‐resolution DEM‐LBM‐IMB simulations: A 2D perspective

Estimation of the Fluidization Behavior of Nonspherical Wet Particles with Liquid Transfer

Efficiency Analysis of the Discrete Element Method Model in Gas‐Fluidized Beds

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