2013
DOI: 10.1088/1757-899x/50/1/012037
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The use of MRT-lattice Boltzmann method for the prediction of fluid solid flow

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Cited by 4 publications
(3 citation statements)
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“…A mesoscopic simulation technique such as the lattice Boltzmann method (LBM) can be used to understand the flow of STF through a micron-size length scale. The lattice Boltzmann equation can be looked at as the development of lattice gas automata [11] or as a discrete version of the continuous Boltzmann equation [12]. In the lattice Boltzmann method [6,13], a particle distribution function is used to study the velocity profile of the fluid.…”
Section: Introductionmentioning
confidence: 99%
“…A mesoscopic simulation technique such as the lattice Boltzmann method (LBM) can be used to understand the flow of STF through a micron-size length scale. The lattice Boltzmann equation can be looked at as the development of lattice gas automata [11] or as a discrete version of the continuous Boltzmann equation [12]. In the lattice Boltzmann method [6,13], a particle distribution function is used to study the velocity profile of the fluid.…”
Section: Introductionmentioning
confidence: 99%
“…A mesoscopic simulation technique such as the lattice Boltzmann method (LBM) can be used to understand the flow of STF through a micron-size length scale. The lattice Boltzmann equation can be looked at as the development of lattice gas automata [12] or as a discrete version of the continuous Boltzmann equation [13]. In the lattice Boltzmann method [6,14], a particle distribution function is used to study the velocity profile of the fluid.…”
Section: Introductionmentioning
confidence: 99%
“…From its birth, the lattice Boltzmann method (LBM) has been gradually proved itself as an alternative numerical method for simulating various types of fluid flows. It has been used extensively in different fields of computational fluid dynamics (CFD), such turbulent flows, particulate flows and multiphase flows [1][2][3][4]. Intrinsic characteristics of LBM method such as parallel computation [5] and easiness in handling complicated geometries [6] make it more attractive than conventional continuum-based CFD methods.…”
Section: Introductionmentioning
confidence: 99%