Lattice Boltzmann simulation of turbulent flow laden with finite-size particles

Gao, Hui; Li, Hui; Wang, Lian‐Ping

doi:10.1016/j.camwa.2011.06.028

Cited by 101 publications

(95 citation statements)

References 44 publications

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“…Among recent publications on LBM application in solid-liquid settling suspensions flows, it is important to refer: Shardt & Derksen (Shardt & Derksen, 2012) simulations of up to 45 % solids volume fraction of rigid non-spherical particles with low density ratios at moderate Reynolds numbers (< 1) using the LBM coupled with DNS studies; two-dimensional (2D) and threedimensional (3D) CFD studies of solid-liquid settling suspensions flows, by Kromkamp et al (Kromkamp et al, 2006) where Couette flows of single, two and multi-particle systems were conducted; Gao et al (Gao, Li & Wang, 2013) particle-resolved simulation method for turbulent flow laden with finite size particles where the method was based on the multiple-relaxation-time lattice Boltzmann equation. In this case, a maximum of 51200 particles in 3D have been considered in their simulations and the authors note that particle-laden turbulent flow is a multiscale problem that requires state of the art computers to include all relevant scales into the simulations with realistic physical parameters.…”

Section: Lattice-boltzmann Numerical Modelsmentioning

confidence: 99%

Settling Suspensions Flow Modelling: A Review

Silva

Garcı́a

Faia

et al. 2015

KONA

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In spite of the widespread application of settling suspensions, their inherent complexity has yet to be properly predicted by a unified numerical model or empirical correlation, and usually industries still possess customized charts or data for their particular suspension. This is, clearly, rather inefficient and can lead to oversized dimensioning, low energy efficiency and even operation limitations/difficulties. In this manuscript a review of empirical correlations, charts and numerical models that have been employed to predict the behaviour of settling suspensions is briefly described, providing information on the advantages and drawbacks of each method. Their evolution throughout the years: from Durand and Condolios correlations, to empirical models by Wasp, single phase simplifications with mixture properties by Shook and Roco, and to other Euler-Euler or Euler-Lagrangian numerical models, will be presented. Some considerations on recent particle migration and turbulence modification publications will be added. In addition, information about some current CFD application of LatticeBoltzmann and Discrete Element Method (DEM) will be given. Lastly, data from CFD modelling employed by the authors that is able to predict turbulence attenuation in settling flows with medium sized particles for different concentrations is reported.

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Section: Lattice-boltzmann Numerical Modelsmentioning

confidence: 99%

Settling Suspensions Flow Modelling: A Review

Silva

Garcı́a

Faia

et al. 2015

KONA

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“…Turbulent flows laden with gas bubbles, small droplets or solid particles are relevant to a wide variety of engineering applications and natural processes, such as plankton dynamics, dust storms, pollutant transport [85]. Using the lattice Boltmzann method coupled with the momentum exchange method, Wang et al [85][86][87] made a comparative analysis to single-phase turbulence and particle-laden turbulence and studied a decaying isotropic turbulence laden with finite-size particles of Kolmogorov to Taylor microscale sizes.…”

Section: Particle Suspensions In Turbulent Flowmentioning

confidence: 99%

“…For the particle-laden turbulence simulations, Gao et al [85] randomly released particles into the fluid domain after the single-phase flow field developed till a converged velocity-derivative skewness. They implemented a second-order interpolation boundary condition [56] and MPI parallel acceleration based on multiple-relaxation-time LBM.…”

Section: Particle Suspensions In Turbulent Flowmentioning

confidence: 99%

Hydrodynamic Force Evaluation by Momentum Exchange Method in Lattice Boltzmann Simulations

Wen

Zhang

Fang

2015

Entropy

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Abstract:As a native scheme to evaluate hydrodynamic force in the lattice Boltzmann method, the momentum exchange method has some excellent features, such as simplicity, accuracy, high efficiency and easy parallelization. Especially, it is independent of boundary geometry, preventing from solving the Navier-Stokes equations on complex boundary geometries in the boundary-integral methods. We review the origination and main developments of the momentum exchange method in lattice Boltzmann simulations. Then several practical techniques to fill newborn fluid nodes are discussed for the simulations of fluid-structure interactions. Finally, some representative applications show the wide applicability of the momentum exchange method, such as movements of rigid particles, interactions of deformation particles, particle suspensions in turbulent flow and multiphase flow, etc.

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“…30−32 The limitations of the point particle approach have motivated the development of particle-resolved simulation methods in recent years such as the immersed boundary method (IBM), 33 distributed Lagrange-multiplier (DLM) method, 34 and the lattice Boltzmann method. 35 2.2.1. Lattice Boltzmann Method.…”

Section: Mathematic Modelingmentioning

confidence: 99%

Turbulent Clustering of Point Particles and Finite-Size Particles in Isotropic Turbulent Flows

Jin

Wang

Zhang

et al. 2013

Ind. Eng. Chem. Res.

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Particle clustering in turbulent flows is ubiquitous in particle-fluid two-phase flows in the riser of fast fluidized beds. Controlling the level of clustering is very crucial for improving the reactive efficiency in such flows. The present paper is devoted to numerically studying particle clustering in turbulent flows, where both point particles and finite-size particles are taken into account, respectively. A pseudospectral method with the particle tracking method is used to simulate the point particle clustering in the forced isotropic turbulent flows, while the lattice Boltzmann method is used to simulate the finite-size particles in decaying isotropic turbulent flows. It is observed that the mean drift velocity, caused by forces such as gravity, could reduce the level of particle clustering for point particles. However, the particle clustering is very weak for the particles of sizes larger than the characteristic viscous scales of turbulent flows, which is consistent with the previous experimental results. The observations suggest that the mean drift velocity and particle sizes can be used to control the level of particle clustering in chemical reactors.

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Lattice Boltzmann simulation of turbulent flow laden with finite-size particles

Cited by 101 publications

References 44 publications

Settling Suspensions Flow Modelling: A Review

Settling Suspensions Flow Modelling: A Review

Hydrodynamic Force Evaluation by Momentum Exchange Method in Lattice Boltzmann Simulations

Turbulent Clustering of Point Particles and Finite-Size Particles in Isotropic Turbulent Flows

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