Modeling and Simulation of Particulate Processes

A. Kienle 1,2, Prof. Dr.-Ing., S. Palis 2, Jun. Prof. Dr.-Ing.,
M. Mangold 1, Prof. Dr.-Ing., R. Dürr 2, Dipl.-Ing.
1 Max Planck Institute for Dynamics of Complex Technical Systems
(Sandtorstr. 1, 39106 Magdeburg, Germany),
2 Otto von Guericke Universtat
(Universitatsplatz 2, 39106 Magdeburg, Germany)
(Tel. +49 391 67 58523, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.)

Èlektron. model. 2018, 38(5):23-34


Particulate processes can be modeled by means of populations balances. This is an important class of nonlinear partial differential equations with many applications in chemical and biochemical engineering. Major challenges are multidimensional problems, coupling with nonideal flow fields and feedback control. Possible solution approaches to these problems are presented and illustrated with different types of process applications including fluidized bed spray granulation, crystallization and influenza vaccine production processes.


partial differential equations, population balances, control, model reduction, proper orthogonal decomposition, direct quadrature method of moments.


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10. Krasnyk, M., Mangold, M. and Kienle, M. (2010), Extensions of the POD model reduction to multi-parameter domains, Chem. Engng. Sci., Vol. 65, pp. 6238-6246.
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