1996
DOI: 10.1016/0301-9322(95)00072-0
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The multiphase particle-in-cell (MP-PIC) method for dense particulate flows

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Cited by 599 publications
(283 citation statements)
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“…The motion of the particle phase is described in terms of particle "clouds" that represent the underlying particle probability distribution function (Andrews et al, 1996;Snider et al, 1998;Snider, 2001;Williams et al, 2002 The numerical method outlined above is implemented in Arena-flow in a transient, threedimensional manner. Geometry specification is achieved via CAD drawings, and the Arena-flow grid generator transforms the geometry to control volumes .…”
Section: Description Of the Arena-flow Gas-particle Simulation Codementioning
confidence: 99%
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“…The motion of the particle phase is described in terms of particle "clouds" that represent the underlying particle probability distribution function (Andrews et al, 1996;Snider et al, 1998;Snider, 2001;Williams et al, 2002 The numerical method outlined above is implemented in Arena-flow in a transient, threedimensional manner. Geometry specification is achieved via CAD drawings, and the Arena-flow grid generator transforms the geometry to control volumes .…”
Section: Description Of the Arena-flow Gas-particle Simulation Codementioning
confidence: 99%
“…An advanced numerical method for gas-particle flows enables Arena-flow to simulate this type of flow with reasonable times (Andrews et al, 1996;Snider et al, 1998;Snider, 2001). …”
mentioning
confidence: 99%
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“…To simulate dense particle flows more efficiently, a hybrid Eulerian-Lagrangian approach, the Multiphase Particle-In-Cell method (MP-PIC), was developed by Andrews and O'Rourke [19]. In this method real particles are grouped into computational particles and then each computational particle is tracked.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, unlike the EL approach in which particle collisions are calculated by the particle collision models, the effect of particle collision in the MP-PIC method is described by an isotropic solid stress, a function of solid volume fraction [19,20]. This technique avoids intense computation for particle collisions and saves a significant amount of computing time.…”
Section: Introductionmentioning
confidence: 99%