Lattice-Boltzmann simulations of particles in 

non-zero-Reynolds-number flows

Qi, Dewei

doi:10.1017/s0022112099004401

Cited by 166 publications

(77 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This approach has also been adopted to study particulate flows. Such work can be found in Ladd [20,21], Behrend [22], Aidun et al [23], and Qi [24]. The interactions between fluid and particle are implemented through the bounce back rule in LBM.…”

Section: Introductionmentioning

confidence: 99%

Particulate Flow Simulation via a Boundary Condition-Enforced Immersed Boundary-Lattice Boltzmann Scheme

Chen

2010

CICP

View full text Add to dashboard Cite

Abstract.A boundary condition-enforced immersed boundary-lattice Boltzmann method (IB-LBM) for the simulation of particulate flows is presented in this paper. In general, the immersed boundary method (IBM) utilizes a discrete set of force density to represent the effect of boundary. In the conventional IB-LBM, such force density is pre-determined, which cannot guarantee exact satisfaction of non-slip boundary condition. In this study, the force density is transferred to the unknown velocity correction which is determined by enforcing the non-slip boundary condition. For the particulate flows, accurate calculation of hydrodynamic force exerted on the boundary of particles is of great importance as it controls the motion of particles. The capability of present method for particulate flows is depicted by simulating migration of one particle in a simple shear flow and sedimentation of one particle in a box and two particles in a channel. The expected phenomena and numerical results are achieved. In addition, particle suspension in a 2D symmetric stenotic artery is also simulated.

show abstract

Section: Introductionmentioning

confidence: 99%

Particulate Flow Simulation via a Boundary Condition-Enforced Immersed Boundary-Lattice Boltzmann Scheme

Chen

2010

CICP

View full text Add to dashboard Cite

show abstract

“…Over the years, the lattice Boltzmann method (LBM) has been developed to an alternative and efficient tool for simulating particulate flow due to its capability of treating moving boundary [13]- [16]. As a discrete form of Boltzmann equation, lattice Boltzmann equation can recover to Navier-Stokes (N-S) equations using multi-scaling analysis.…”

Section: Methodsmentioning

confidence: 99%

“…uA-G indicate the fluid velocity at nodes A-G. (b) P2 locates on plane OABC, and bilinear interpolation is applied as (15) Note that the boundary node P2 may locate on other adjacent planes OAFG, OCDG and thus three situations must be considered in applications. (16) where ∆ indicates distance CP3 and ' C indicates the node obtained by advancing node C a lattice in OC direction.…”

Section: Methodsmentioning

confidence: 99%

Size and thermal effects on sedimentation behaviors of two spheres

Yang

Chen

Xiong

et al. 2017

International Journal of Heat and Mass Transfer

View full text Add to dashboard Cite

Gas-solid flows are commonly found in nature, as well as in industries. In such flows the size of the solid particles generally is not uniform. In addition, usually there is heat transfer between solid particles and gas flows. The hydrodynamics and heat transfer both make the behavior of gas-solid flows extremely complicated. In order to reveal these effects, in this paper three cases: (1) two isothermal, (2) two hot and (3) two cold spherical particles with various size ratios are investigated using lattice Boltzmann method-immersed boundary (LB-IB). It is observed that, for the first time, the tumbling duration of both two hot particles and two cold particles settling in vertical channel, is prolonged with size ratio increasing. The differences of threshold size ratio among the three cases are significant and the threshold size ratio of two hot particles is the largest one. Especially, it is found that heat transfer affects critically the interaction of two hot particles with low size ratios. In addition, against particle size ratio increasing, heat transfer effects on the interaction between two non-identical particles become weak.

show abstract

“…The kinetic nature of the lattice Boltzmann method enables it to simulate complex geometry such as fluid flow in porous media (Ladd, 1994;Ladd and Verberg, 2001;Qi, 1999;Ding and Aidun, 2000;Qian, 1990;Qian et al, 1992;Chen and Doolen, 1998;Guo et al, 2002;He and Luo, 1997a,b). In the lattice Boltzmann (LB) method, fluid particles reside on the lattice nodes and move to their nearest neighbors along the links with unit spacing in each unit time step.…”

Section: The Lattice Boltzmann Methodsmentioning

confidence: 99%

Flows With Inertia in a Three-Dimensional Random Fiber Network

Rong

2006

Chemical Engineering Communications

Self Cite

View full text Add to dashboard Cite

A fiber web is modeled as a three-dimensional random cylindrical fiber network. Nonlinear behavior of fluid flowing through the fiber network is numerically simulated by using the lattice Boltzmann (LB) method. A nonlinear relationship between the friction factor and the modified Reynolds number is clearly observed and analyzed by using the Fochheimer equation, which includes the quadratic term of velocity. We obtain a transition from linear to nonlinear region when the Reynolds numbers are sufficiently high, reflecting the inertial effect of the flows. The simulated permeability of such fiber network has relatively good agreement with the experimental results and finite element simulations.

show abstract

Lattice-Boltzmann simulations of particles in non-zero-Reynolds-number flows

Cited by 166 publications

References 22 publications

Particulate Flow Simulation via a Boundary Condition-Enforced Immersed Boundary-Lattice Boltzmann Scheme

Particulate Flow Simulation via a Boundary Condition-Enforced Immersed Boundary-Lattice Boltzmann Scheme

Size and thermal effects on sedimentation behaviors of two spheres

Flows With Inertia in a Three-Dimensional Random Fiber Network

Contact Info

Product

Resources

About