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Development of a multi-compartment population balance model for high-shear wet granulation with discrete element method.

Authors :
Lee, Kok Foong
Dosta, Maksym
McGuire, Andrew D.
Mosbach, Sebastian
Wagner, Wolfgang
Heinrich, Stefan
Kraft, Markus
Source :
Computers & Chemical Engineering. Apr2017, Vol. 99, p171-184. 14p.
Publication Year :
2017

Abstract

This paper presents a multi-compartment population balance model for wet granulation coupled with DEM (discrete element method) simulations. Methodologies are developed to extract relevant data from the DEM simulations to inform the population balance model. First, compartmental residence times are calculated for the population balance model from DEM. Then, a suitable collision kernel is chosen for the population balance model based on particle–particle collision frequencies extracted from DEM. It is found that the population balance model is able to predict the trends exhibited by the experimental size and porosity distributions by utilising the information provided by the DEM simulations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00981354
Volume :
99
Database :
Academic Search Index
Journal :
Computers & Chemical Engineering
Publication Type :
Academic Journal
Accession number :
121506898
Full Text :
https://doi.org/10.1016/j.compchemeng.2017.01.022