2014
DOI: 10.1002/aic.14332
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Modeling of aggregation kernel using Monte Carlo simulations of spray fluidized bed agglomeration

Abstract: The present work attempts to consider the microscopic mechanisms of spray fluidized bed agglomeration while modeling the macroscopic kinetics of the process. A microscale approach, constant volume Monte-Carlo simulation, is used to analyze the effects of micro-processes on the aggregation behavior and identify the influencing parameters. The identified variables, namely the number of wet particles, the total number of particles, and the number of droplets are modeled and combined in the form of an aggregation … Show more

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Cited by 25 publications
(20 citation statements)
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“…The powders can be mixed, granulated, and dried in the same equipment, which minimizes the equipment costs, loss of product transfers, and possibility of the cross-contamination [3]. The rationale of spray fluidized-bed granulation can be briefly described as follows: (1) Particles circulate within granulator by pumping hot air from the bottom of granulator and meanwhile binder liquid is sprayed on the fluidized particles in the forms of small droplets [38]. (2) As a result of collisions and coalescence between the surface-wetted particles, liquid bridges are formed and aggregation of particles occurs leading to the growth of granules [1,39].…”
Section: Mathematical Mechanism Model Of Spray Fluidized-bedmentioning
confidence: 99%
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“…The powders can be mixed, granulated, and dried in the same equipment, which minimizes the equipment costs, loss of product transfers, and possibility of the cross-contamination [3]. The rationale of spray fluidized-bed granulation can be briefly described as follows: (1) Particles circulate within granulator by pumping hot air from the bottom of granulator and meanwhile binder liquid is sprayed on the fluidized particles in the forms of small droplets [38]. (2) As a result of collisions and coalescence between the surface-wetted particles, liquid bridges are formed and aggregation of particles occurs leading to the growth of granules [1,39].…”
Section: Mathematical Mechanism Model Of Spray Fluidized-bedmentioning
confidence: 99%
“…Detailed derivation process and setting of model parameters are given in [37,38], and they will not be covered here. The developed mechanism model is capable of not only linking APS of particles with the operating variable (binder spray rate), but also reflecting the relationship between APS and material attributes, such as viscosity of binder and particle density.…”
Section: Mathematical Mechanism Model Of Spray Fluidized-bedmentioning
confidence: 99%
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