WIAS Preprint No. 2483, (2018)

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



Authors

  • Bartsch, Clemens
  • John, Volker
    ORCID: 0000-0002-2711-4409
  • Patterson, Robert I. A.
    ORCID: 0000-0002-3583-2857

2010 Mathematics Subject Classification

  • 76T20

Keywords

  • Tubular flow crystallizer, population balance systems, stochastic particle method, Markov jump processes, deterministic CFD methods

DOI

10.20347/WIAS.PREPRINT.2483

Abstract

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.

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