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A novel method for predicting product properties in fluidized bed spray granulation
Publikationstyp
Doctoral Thesis
Date Issued
2022-01-03
Sprache
English
Author(s)
Advisor
Referee
Title Granting Institution
Hamburg University of Technology
Place of Title Granting Institution
Hamburg, Germany
Examination Date
2021-12-16
First published in
Number in series
19
Citation
Cuvillier Verlag 978-3-7369-7556-9: (2021)
Publisher
Cuvillier Verlag
Fluidized bed spray granulation is a process that facilities particle size enlargement by injecting solids in the form of a suspension, solution or melt. The produced particles are often of high value due to their highly specific, functionalized nature. This work provides a method for utilizing particle-scale simulations method like the coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) to predict the properties of particles produced in scaled-up apparatuses based on laboratory-scale experiments by correlating the conditions that particle experience to the properties they develop. Furthermore, a method for calibrating DEM models of weakly wetted particle systems by utilizing a novel, probabilistic liquid bridge state model is proposed.
DDC Class
600: Technik