2017
DOI: 10.1016/j.compfluid.2017.01.019
|View full text |Cite
|
Sign up to set email alerts
|

An efficient Discrete Element Lattice Boltzmann model for simulation of particle-fluid, particle-particle interactions

Abstract: In this study, an efficient Discrete Element Lattice Boltzmann Model (DE-LBM) is introduced to simulate mechanical behaviours of multiphase systems involving particle-fluid and particle-particle interactions. The LBM is based on the Multiple Relaxation Time (MRT-LBM) formalism for the fluid phase and the Discrete Element Method for particle motions. A novel algorithm is developed for detecting the particle contact base on particle overlapping areas computed directly from the grid-based LBM data. This contact a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 33 publications
(8 citation statements)
references
References 52 publications
0
8
0
Order By: Relevance
“…Obviously, e i = −e i+4 . Depending on the probability of movement in directions 1, 2, 3, and 4, the solid particle may remain at the original node or move to the nearest adjacent node X * p = X P + θ 1 e 1 + θ 2 e 2 + θ 3 e 3 + θ 4 e 4 (18) where θ i is a Boolean variable, which equal to 1 with probability p i . As shown in Figure 6, p 1 > 0, p 2 > 0, p 3 = 0, p 4 = 0, so the particle may remain stationary with probability…”
Section: Cellular Automata Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Obviously, e i = −e i+4 . Depending on the probability of movement in directions 1, 2, 3, and 4, the solid particle may remain at the original node or move to the nearest adjacent node X * p = X P + θ 1 e 1 + θ 2 e 2 + θ 3 e 3 + θ 4 e 4 (18) where θ i is a Boolean variable, which equal to 1 with probability p i . As shown in Figure 6, p 1 > 0, p 2 > 0, p 3 = 0, p 4 = 0, so the particle may remain stationary with probability…”
Section: Cellular Automata Modelmentioning
confidence: 99%
“…For the lattice Boltzmann method of pure particle flow, Eshghinejadfar et al [17] used LBM model to consider the interaction between fluid and particles, and used thermal lattice calculation without considering the interaction between particles. Zhang et al [18] used the lattice Boltzmann method as well as discrete element method to describe the interaction between particulate matter and fluid, particulate matter and particulate matter, in the meantime, they have carried out two-dimensional flow calculation without considering the effect of heat transfer.…”
Section: Introductionmentioning
confidence: 99%
“…The method of Zhang et al is adopted for the cases of RCP spheres array, where one lattice cell may be occupied by multiple spheres. ϵ is summed up by each sphere's solid volume fraction in this lattice cell and the maximum value is 1 44 …”
Section: Methodsmentioning
confidence: 99%
“…Therefore, several contact detection algorithms have been proposed to reduce the computational cost . Zhang et al proposed an efficient collision algorithm for spheroidal particles for the DEM‐CFD (LBM) flow solver. They reduced the computational cost for collision detection by using a lattice grid for the lattice Boltzmann simulation to detect the contact of the object.…”
Section: Introductionmentioning
confidence: 99%