Parameter identification for continuous fluidized bed spray agglomeration
Golovin I, Strenzke G, Duerr R, Palis S, Bück A, Tsotsas E, Kienle A (2018)
Publication Language: English
Publication Status: Published
Publication Type: Journal article, Original article
Publication year: 2018
Journal
Publisher: MDPI AG
Book Volume: 6
Article Number: 246
Journal Issue: 12
DOI: 10.3390/pr6120246
Abstract
Agglomeration represents an important particle formation process used in many industries. One particularly attractive process setup is continuous fluidized bed spray agglomeration, which features good mixing as well as high heat and mass transfer on the one hand and constant product throughput with constant quality as well as high flow rates compared to batch mode on the other hand. Particle properties such as agglomerate size or porosity significantly affect overall product properties such as re-hydration behavior and dissolubility. These can be influenced by different operating parameters. In this manuscript, a population balance model for a continuous fluidized bed spray agglomeration is presented and adapted to experimental data. Focus is on the description of the dynamic behavior in continuous operation mode in a certain neighborhood around steady-state. Different kernel candidates are evaluated and it is shown that none of the kernels are able to match the first six minutes with time independent parameters. Afterwards, a good fit can be obtained, where the Brownian and the volume independent kernel models match best with the experimental data. Model fit is improved for identification on a shifted time domain neglecting the initial start-up phase. Here, model identifiability is shown and parameter confidence intervals are computed via parametric bootstrap.
Authors with CRIS profile
Involved external institutions
Otto-von-Guericke-Universität Magdeburg
Germany (DE)
Max-Planck-Institut für Dynamik komplexer technischer Systeme / Max Planck Institute for Dynamics of Complex Technical Systems
Germany (DE)
Germany (DE)
Max-Planck-Institut für Dynamik komplexer technischer Systeme / Max Planck Institute for Dynamics of Complex Technical Systems
Germany (DE)
How to cite
APA:
Golovin, I., Strenzke, G., Duerr, R., Palis, S., Bück, A., Tsotsas, E., & Kienle, A. (2018). Parameter identification for continuous fluidized bed spray agglomeration. Processes, 6(12). https://doi.org/10.3390/pr6120246
MLA:
Golovin, Ievgen, et al. "Parameter identification for continuous fluidized bed spray agglomeration." Processes 6.12 (2018).
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