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Constant number Monte Carlo simulation of population balances with multiple growth mechanisms
30
Citations
24
References
2010
Year
EngineeringAir QualityPopulation DynamicSimulationMultiple Growth MechanismsStochastic SimulationChemical EngineeringAerosol TransportComplete Simulation SchemeNumerical SimulationBiostatisticsParticle TechnologyModeling And SimulationParticulate ProcessesPublic HealthPopulation ControlStatisticsMonte CarloPopulation BalancesPopulation Balance ModelingEnvironmental EngineeringMonte Carlo MethodPopulation DevelopmentDemographyAir PollutionChemical Kinetics
Abstract We present a complete simulation scheme for particulate processes based on the constant number Monte Carlo methodology. Specifically, the proposed scheme can be applied towards the solution of population balances that include nucleation, coagulation and surface deposition, coupled to chemical reactions. The synthesis of titania (TiO 2 ) by flame oxidation of TiCl 4 is employed as a comparison basis of the relative advantages and weaknesses of Monte Carlo against more classical numerical approaches. © 2010 American Institute of Chemical Engineers AIChE J, 2010
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