Simulations of an ASA flow crystallizer with a coupled stochastic-deterministic approach

摘要

A coupled solver for population balance systems is presented, where the flow, temperature, and concentration equations are solved with finite element methods, and the particle size distribution is simulated with a stochastic simulation algorithm, a so-called kinetic Monte-Carlo method. This novel approach is applied for the simulation of an axisymmetric model of a tubular flow crystallizer. The numerical results are compared with experimental data. (C) 2019 Elsevier Ltd. All rights reserved.