Coarse-Grained DEM–CFD Simulation of Fluidization Behavior of Irregular Shape Sand Particles

Xu, Xiaomeng; Li, Cheng; Gao, Xi

doi:10.1021/acs.iecr.2c00891

Cited by 8 publications

(8 citation statements)

References 57 publications

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“…In some studies, DEM models with some corrections were employed to simulate nonspherical granular flows, such as adding rolling friction or adjusting diameter with sphericity. 19,24 In some other studies, particle shapes were directly modeled, using different approaches. 20−22,25−34 Software and codes for nonspherical particle simulation are essential to investigate the rotating drum's intrinsic mechanism and flow behavior.…”

Section: Introductionmentioning

confidence: 99%

“…The shape of the particles influences their flow behavior, such as it is difficult to shear and roll and difficult to fluidize. − Additionally, some critical physical parameters, like the angle of repose (AoR), mixing, rheology, and packing structure, are also influenced by shapes. − Mixing has been studied in detail in many studies. ,,− There have been some outstanding studies focusing on nonspherical particles. In some studies, DEM models with some corrections were employed to simulate nonspherical granular flows, such as adding rolling friction or adjusting diameter with sphericity. , In some other studies, particle shapes were directly modeled, using different approaches. − ,− …”

Section: Introductionmentioning

confidence: 99%

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SuperDEM Simulation and Experiment Validation of Nonspherical Particles Flows in a Rotating Drum

Cui

Dai

et al. 2023

Ind. Eng. Chem. Res.

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Understanding the flow behaviors of nonspherical particles is critical for rotating drum design and optimization. Rotating drum experiments of particles of different properties were conducted and the flow behavior was investigated by high-resolution camera recordings. The superquadric discrete element method (SuperDEM) was employed to simulate the spherical and nonspherical particle flows and validated by comparing the simulation results with the experimental data. A sensitivity study shows that angles of repose of spheres, cubes, and green beans were approximately constant when the friction coefficient was larger than 0.3, while for cylindrical shape particles, angles increased continuously until μ was 0.6. To study the impact of shapes, the validated model was applied to simulate particles of different shapes with the same density and volume. It was found that cylindrical particles with smaller sphericity had larger repose angles and were packed more densely than spheres, and the relationship between sphericity and angle was nonlinear. Nonspherical particles had a higher kinetic energy conversion efficiency, and cylinders’ and cubes’ average rotational kinetic energies were also larger than that for spheres. The ratio of the rotational kinetic energy to the total kinetic energy of cylinders was up to 10.59%, which indicated the significant impacts of particle shapes. Besides, particle shapes significantly affect the anisotropic distribution of the normal contact forces, especially for cylinders and cubes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SuperDEM Simulation and Experiment Validation of Nonspherical Particles Flows in a Rotating Drum

Cui

Dai

et al. 2023

Ind. Eng. Chem. Res.

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“…The sand particles in the fluidized bed enhance biomass reaction through improved mass and heat transfer 47 . Further investigation is required to understand the mixing characteristics of biomass at different temperatures based on the axial distribution shown in Figure 8.…”

Section: Resultsmentioning

confidence: 99%

“…The CFD grid resolution was set to 24 × 136 × 20 in the x , y , and z directions, and the y direction was the axis of the fluidized bed reactor. The grid size was chosen to be two to four times the parcel size, according to a previous work by Xu et al 47 The boundary conditions were defined as follows: the inlet was assigned a velocity inlet condition, and the outlet was set as an ambient pressure outlet. A fixed temperature boundary condition and a no‐slip boundary condition were applied to the walls.…”

Section: Modelmentioning

confidence: 99%

Coupling coarse‐grained DEM‐CFD and intraparticle model for biomass fast pyrolysis simulation and experiment validation

Wang,

Dai,

et al. 2024

AIChE Journal

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The understanding of complex fluidization hydrodynamics and chemical reactions in biomass fast pyrolysis fluidized bed reactors is lacking and requires further investigation. It is urgent to develop accurate mathematical models capable of describing the complex multiphase reaction system of biomass pyrolysis. A comprehensive multiscale model based on coarse‐grained discrete element method (DEM)‐computational fluid dynamics (CFD) was developed in open‐source MFiX code. It incorporates detailed biomass pyrolysis kinetics and an intraparticle model. To validate the model, measurements were conducted in a fluidized bed pyrolyzer, including quantifying the segmental pressure drop along the height of the bed and determining the yields and compositions of gas, liquid, and solid products. The particle mixing and segregation, axial distribution and residence time, Lacey index, and pyrolysis products were investigated. The study provides experimental and theoretical foundations for designing multiphase fluidized bed reactors and advancing biomass thermochemical conversion.

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“…The idea of coarse graining has been extended to direct mesoscopic modelling, such as modelling red blood cells in DPD 104 . Coarse-grained modelling has more recently become popular to simulate the mechanical responses of granular materials by DEM 179 and modelling the multiphysics processes involving CFD 180 .…”

Section: Technical Reviewmentioning

confidence: 99%

The role of particle shape in computational modelling of granular matter

Zhao,

Luding

2023

Nat Rev Phys

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Granular matter is ubiquitous in nature and is present in diverse forms in important engineering, industrial and natural processes. Particle-based computational modelling has become indispensable to understand and predict the complex behaviour of granular matter in these processes. The success of modern computational models requires realistic and efficient consideration of particle shape. Realistic particle shapes in naturally occurring and engineered materials offer diverse challenges owing to their multiscale nature in both length and time. Furthermore, the complex interactions with other materials, such as interstitial fluids, are highly nonlinear and commonly involve multiphysics coupling. This Technical Review presents a comprehensive appraisal of state-of-the-art computational models for granular particles of either naturally occurring shapes or engineered geometries. It focuses on particle shape characterization, representation and implementation, as well as its important effects. In addition, the particles may be hard, highly deformable, crushable or phase transformable; they might change their behaviour in the presence of interstitial fluids and are sensitive to density, confining stress and flow state. We describe generic methodologies that capture the universal features of granular matter and some unique approaches developed for special but important applications. Sections• Consideration of shape effects in coupled simulations of granular particles and environmental fluids requires revamped theories and methods to faithfully reflect their underpinning multiphase, multiphysics nature.• Incorporating realistic particle shapes in granular matter modelling must harness the latest advances in parallel computing and machine learning for effective large-scale computations.Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

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Coarse-Grained DEM–CFD Simulation of Fluidization Behavior of Irregular Shape Sand Particles

Cited by 8 publications

References 57 publications

SuperDEM Simulation and Experiment Validation of Nonspherical Particles Flows in a Rotating Drum

SuperDEM Simulation and Experiment Validation of Nonspherical Particles Flows in a Rotating Drum

Coupling coarse‐grained DEM‐CFD and intraparticle model for biomass fast pyrolysis simulation and experiment validation

The role of particle shape in computational modelling of granular matter

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