LAPSE:2021.0338
Published Article
LAPSE:2021.0338
Linear Analysis of a Continuous Crystallization Process for Enantiomer Separation
Michael Mangold, Nadiia Huskova, Jonathan Gänsch, Andreas Seidel-Morgenstern
May 4, 2021
Continuous preferential crystallization is an innovative approach to the separation of chiral substances. The process considered in this work takes place in a gently agitated fluidized bed located in a tubular crystallizer. The feasibility of the process has been shown in previous work, but it also turned out that choosing suitable operation conditions is quite delicate. Hence, a model based process design is desirable. Existing models of the process are rather complicated and require long computational times. In this work, a simple linear dynamic model is suggested, which captures the main properties of the process. The model is distributed in space and in a property coordinate. Using the method of characteristics, a semi-analytical solution of the linear model is derived. As a challenge to the solution, there is a recycle loop in the process that causes a feedback and couples the boundary conditions at different boundaries of the computational domain. In order to deal with this, a numerical scheme is suggested. The semi-analytical solution provides a deeper insight into the process dynamics. A comparison with a more detailed mathematical model of the process and with experiments shows strengths and limitations of the linear model.
Keywords
crystallization, distributed system, method of characteristics, population balance, process control
Suggested Citation
Mangold M, Huskova N, Gänsch J, Seidel-Morgenstern A. Linear Analysis of a Continuous Crystallization Process for Enantiomer Separation. (2021). LAPSE:2021.0338
Author Affiliations
Mangold M: Bingen University of Applied Sciences, Berlinstraße 109, 55411 Bingen am Rhein, Germany
Huskova N: Max Planck Institute for Dynamics of Complex Dynamical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany
Gänsch J: Max Planck Institute for Dynamics of Complex Dynamical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany
Seidel-Morgenstern A: Max Planck Institute for Dynamics of Complex Dynamical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany
Journal Name
Processes
Volume
8
Issue
11
Article Number
E1337
Year
2020
Publication Date
2020-10-23
Published Version
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr8111337, Publication Type: Journal Article
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LAPSE:2021.0338
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doi:10.3390/pr8111337
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May 4, 2021
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May 4, 2021
 
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Calvin Tsay
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