2011
DOI: 10.1016/j.ces.2011.02.038
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DEM–CFD modeling of a fluidized bed spray granulator

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Cited by 203 publications
(80 citation statements)
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“…The particle wetting rates in a FBG is highly dependent on the particle flow pattern which in turn is affected by the flow field of the fluidizing gas [5]. The flow behavior of the powder within the granulator also depends on the geometry of the vessel.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The particle wetting rates in a FBG is highly dependent on the particle flow pattern which in turn is affected by the flow field of the fluidizing gas [5]. The flow behavior of the powder within the granulator also depends on the geometry of the vessel.…”
Section: Introductionmentioning
confidence: 99%
“…Fernandez et al used CFD-DEM coupling in case of centrifugal separation systems [29]. Previous studies have been carried out in CFD-DEM coupling in case of granulation and are well documented [5,30]. A direct numerical simulation model for a three phase flow in case of wet granulation, consisting of solid, liquid and gas has been developed by [3].…”
Section: Introductionmentioning
confidence: 99%
“…In literature, CFD has been widely applied for modeling multiphase flow of wet granulation process to reduce 6 the design time and cost [26][27][28][29][30][31][32][33][34][35]. In general, two different approaches of CFD modelling are used to model a gas-solid fluizied bed: the Eulerian-Eulerian approach, in which all phases are considered as interpenetrating continua and the Eulerian-Lagrangian approach in which at least one phase is considered as a discrete phase interacting with the other phases [30,[36][37][38][39][40][41][42][43]. To date, several models built upon the Eulerian-Lagrange framework have been developed such as the computational fluid dynamics-discrete element method (CFD-DEM), dense discrete phase model (DDPM) and multi-phase-particle-in-cell (MP-PIC) method.…”
Section: Introductionmentioning
confidence: 99%
“…Figure 23 presents an example (see [136]) of a good combination between these two methods to determine particle physical characteristics. Moreover, computational fluid dynamics (CFD) can also be coupled to PBM-DEM to model particle-fluid interactions in fluidized bed granulation [137][138][139]. However, conversely to the previously-introduced methods, PBM-DEM describes only the variations of particle physical properties (assuming the whole device in the steady state) as the granule size distribution (GSD), the moisture content, etc.…”
Section: Population Balance Modeling and Discrete Element Modelingmentioning
confidence: 99%