Development of a multi-compartment population balance model for high-shear wet granulation with discrete element method
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Peer-reviewed
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Abstract
� 2017 Elsevier Ltd 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.
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Keywords
Granulation, Stochastic Weighted Algorithm, Compartmental model, Discrete element method, Majorant kernel
Journal Title
Computers and Chemical Engineering
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Journal ISSN
0098-1354
1873-4375
1873-4375
Volume Title
99
Publisher
Elsevier BV
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Sponsorship
National Research Foundation Singapore (via Cambridge Centre for Advanced Research and Education in Singapore (CARES)) (unknown)
National Research Foundation Singapore (via Cambridge Centre for Advanced Research and Education in Singapore (CARES)) (unknown)
National Research Foundation Singapore (via Cambridge Centre for Advanced Research and Education in Singapore (CARES)) (unknown)
National Research Foundation (NRF), Prime Minister's Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) Programme.