A three-dimensional population balance model of granulation with a mechanistic representation of the nucleation and aggregation phenomena

Poon, Jonathan M.-H., Immanuel, Charles D., Doyle, III, Francis J. and Litster, James D. (2008) A three-dimensional population balance model of granulation with a mechanistic representation of the nucleation and aggregation phenomena. Chemical Engineering Science, 63 5: 1315-1329.


Author Poon, Jonathan M.-H.
Immanuel, Charles D.
Doyle, III, Francis J.
Litster, James D.
Title A three-dimensional population balance model of granulation with a mechanistic representation of the nucleation and aggregation phenomena
Journal name Chemical Engineering Science  (ERA 2012 Listed)    (ERA 2010 Rank A*)   Check publisher's open access policy
Publication date 2008-03
Sub-type Article
Year available 2007
DOI 10.1016/j.ces.2007.07.048
Volume number 63
Issue number 5
ISSN 0009-2509
1873-4405
Start page 1315
End page 1329
Total pages 15
Place of publication Oxford, United Kingdom
Publisher Pergamon
Language eng
Abstract A comprehensive model is discussed for wet granulation based on a three-dimensional population balance, as an attempt to capture particle-level phenomena and their influence on the population-level behaviour. The three dimensions of population distribution are the particle size, binder content, and porosity of the granules. In formulating the population balance, these three particle traits are represented in terms of three equivalent traits, namely, the solid volume, liquid volume and gas volume of the granules. The model accounts for wetting, nucleation, aggregation and consolidation phenomena. Mechanistic kernels are derived for aggregation and nucleation, employing theories on these particle-level microscale phenomena that have already been validated in previous studies. The three-dimensional population balance is solved numerically using a finite volume-based decomposition algorithm also called the hierarchical two-tier solution strategy [Pinto, M.A., Immanuel, C.D., Doyle III, F.J., 2007. A feasible solution technique for higher-dimensional population balance models. Computers and Chemical Engineering, 31, 1242–1256].
Keyword Granulation
Population balance
Aggregation
Nucleation
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Available online 29 July 2007

Document type: Journal Article
Sub-type: Article
Collection: School of Engineering Publications
 
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Created: Thu, 03 Sep 2009, 10:26:25 EST by Mr Andrew Martlew on behalf of School of Engineering