Volume 31
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Neugebauer, C., Palis, S., Bück, A., Tsotsas, E., Heinrich, S., & Kienle, A. (2017). A dynamic two-zone model of continuous fluidized bed layering granulation with internal product classification. Particuology, 31, 8-14. https://doi.org/10.1016/j.partic.2016.07.001
A dynamic two-zone model of continuous fluidized bed layering granulation with internal product classification
C. Neugebauer a, S. Palis a, A. Bück a, E. Tsotsas a, S. Heinrich c, A. Kienle a b *
a Otto von Guericke University, Universitätsplatz 2, D-39106 Magdeburg, Germany
b Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraße 1, D-39106 Magdeburg, Germany
c Hamburg University of Technology, Denickestraße 15, D-21073 Hamburg, Germany
10.1016/j.partic.2016.07.001
Volume 31, April 2017, Pages 8-14
Received 7 April 2016, Revised 14 July 2016, Accepted 21 July 2016, Available online 29 September 2016, Version of Record 9 March 2017.
E-mail: kienle@mpi-magdeburg.mpg.de

Highlights

• Dynamic population balance model of continuous fluidized bed layering granulation with distinct drying and granulation zones was developed.

• Stability was studied for a wide range of possible process configurations and operating conditions.

• Results were validated by dynamic simulation.

• Previous experimental findings were reproduced and justified.


Abstract

A dynamic two-zone model is proposed to address the formation of granulation and drying zones in fluidized bed layering granulation processes with internal product classification. The model assumes a constant volume for the granulation zone, but a variable overall volume for the fluidized bed to account for classified product removal. The model is used to study the effect of various process parameters on dynamics and process stability. Stability is shown to depend on the separation diameter of product removal and the flow rate of the injected liquid. A lower and upper range of separation diameters with stable process behavior are found. In an intermediate range instability in the form of self-sustained oscillations is observed. The lower stability boundary is in qualitative agreement with recent experimental observations (Schmidt, Bück, & Tsotsas, 2015); the upper boundary was reported in a theoretical paper by Vreman, Van Lare, and Hounslow (2009) based on a single zone model.

Graphical abstract
Keywords
Layering granulation; Zone formation; Internal product classification; Population balance modeling; Stability analysis