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
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.
Appeared in
- Comput. Chem. Engng., 124 (2019), pp. 350--363, DOI 10.1016/j.compchemeng.2019.01.012 .
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