Simulations of an ASA flow crystallizer with a coupled stochastic-deterministic approach
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Date
2018
Volume
2483
Issue
Journal
Series Titel
Book Title
Publisher
Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik
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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.
Description
Keywords
Tubular flow crystallizer, population balance systems, stochastic particle method, Markov jump processes, deterministic CFD methods
Citation
Bartsch, C., John, V., & Patterson, R. I. A. (2018). Simulations of an ASA flow crystallizer with a coupled
stochastic-deterministic approach (Vol. 2483). Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik. https://doi.org//10.20347/WIAS.PREPRINT.2483
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This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.
This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.