On the significance of two-way coupling in simulation of turbulent particle agglomeration

Dizaji, Farzad F.; Marshall, Jeffrey S.

doi:10.1016/j.powtec.2017.05.027

Cited by 29 publications

(24 citation statements)

References 56 publications

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“…First, the gas flow is described by a 2D CFD model, and the detailed relationship between gas flow and particle agglomeration is not offered in this work. A full 3D CFD–DEM simulation or even a finer scale simulation as done by DNS‐DEM approach can be more promising in this aspect. Besides, the present study only considers the effect of particle cohesion, other effects like particle size distribution and particle shape can also be very important for the micro‐ and macroscopic transition of the particulate system; they are suggested for future studies.…”

Section: Discussionmentioning

confidence: 99%

Linking discrete particle simulation to continuum properties of the gas fluidization of cohesive particles

Hou

2020

AIChE Journal

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Discrete particle simulation can explicitly consider interparticle forces and obtain microscopic properties of the fluidized cohesive particles, but it is computationally expensive. It is thus pivotal to link the microscopic discrete properties to the macroscopic continuum description of the system for large scale applications. This work studies the fluidization of cohesive particles through the coupled computational fluid dynamics and discrete element method (CFD‐DEM). First, discrete CFD‐DEM results show the increased particle cohesion leads to the severe particle agglomeration which affects the fluidization quality significantly. Then, continuum properties are attained by a weighted time‐volume averaging method, showing that tensile pressure becomes significant as particle cohesion increases. By incorporating Rumpf correlation into the solid pressure equation, the tensile pressure could be predicted consistently with the averaged CFD‐DEM results for different particle cohesion. Finally, those overall steady averaged properties of the bed are obtained for understanding the general macroscopic properties of the system.

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Section: Discussionmentioning

confidence: 99%

Linking discrete particle simulation to continuum properties of the gas fluidization of cohesive particles

Hou

2020

AIChE Journal

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“…The structure of agglomerates is another crucial factor affecting the agglomeration rate. For non-coalescing adhesive particles, the formed agglomerates usually have fractal structures, which distinguishes our system from those of droplets [26,50]. In systems involving Brownian nanoparticles, theoretical collision kernels can be extended to fractal agglomerates when substituting the particle radius with the radius of effective collision spheres (ECSs) for an agglomerate [51,52].…”

Section: B Simulation Conditionsmentioning

confidence: 99%

“…Such deviation may be attributed to two reasons. First, Γ(i, j) does not contain information of breakage or rearrangement, which is expected to be significant for large-size agglomerates [26]. Moreover, statistics may also get worse when the total number of agglomerates Σ ∞ 1 n(A) reduces.…”

Section: B Effect Of Stokes Numbermentioning

confidence: 99%

Exponential scaling in early-stage agglomeration of adhesive particles in turbulence

Chen

Marshall

2019

Phys. Rev. Fluids

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We carry out direct numerical simulation together with an adhesive discrete element method calculation (DNS-DEM) to investigate agglomeration of particles in homogeneous isotropic turbulence (HIT). We report an exponential-form scaling for the size distribution of early-stage agglomerates, which is valid across a wide range of particle inertia and inter-particle adhesion values. Such scaling allows one to quantify the state of agglomeration using a single scale parameter. An agglomeration kernel is then constructed containing the information of agglomerate structures and the sticking probability. An explicit relationship between the sticking probability and microscale particle properties is also proposed based on the scaling analysis of the equation for head-on collisions. Our results extend Smoluchowski's theory to the condition of non-coalescing solid adhesive particles and can reproduce DNS-DEM results with a simple one-dimensional simulation.

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“…However, most existing studies consider one-way coupling without considering the influences of drag or volume displacement by particles on the fluid. Such an approach is not appropriate when modelling large particle aggregates as it over-predicts the interphase slip velocity in the vicinity of the particles (Dizaji & Marshall 2017). Another known deficiency of this method when dealing with cohesive particles is the restrictive time step.…”

Section: Introductionmentioning

confidence: 99%

Deagglomeration of cohesive particles by turbulence

Yao

Capecelatro

2021

J. Fluid Mech.

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On the significance of two-way coupling in simulation of turbulent particle agglomeration

Cited by 29 publications

References 56 publications

Linking discrete particle simulation to continuum properties of the gas fluidization of cohesive particles

Linking discrete particle simulation to continuum properties of the gas fluidization of cohesive particles

Exponential scaling in early-stage agglomeration of adhesive particles in turbulence

Deagglomeration of cohesive particles by turbulence

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