Stochastic Monte Carlo Simulation for the Solution of the Dynamic PopulationBalance Equation in Batch Particulate Systems
Abstract
In the present work, an efficient stochastic Monte Carlo (MC) algorithm is presented for the
numerical solution of the dynamic population balance equation (PBE) in batch particulate processes
undergoing simultaneous particle aggregation, growth and nucleation. The general PBE was numerically
solved in terms of the number density function for the cases of one and two internal properties.
Numerical simulations were carried out over a wide range of variation of particle aggregation, growth
and nucleation rate models and for extended aggregation and growth times.
[DOI: 10.1685/CSC06114] About DOI
numerical solution of the dynamic population balance equation (PBE) in batch particulate processes
undergoing simultaneous particle aggregation, growth and nucleation. The general PBE was numerically
solved in terms of the number density function for the cases of one and two internal properties.
Numerical simulations were carried out over a wide range of variation of particle aggregation, growth
and nucleation rate models and for extended aggregation and growth times.
[DOI: 10.1685/CSC06114] About DOI
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PDFDOI: https://doi.org/10.1685/
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