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

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

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...

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Bibliographic Details
Main Authors: Lee, Kok Foong, Dosta, Maksym, McGuire, Andrew D., Mosbach, Sebastian, Wagner, Wolfgang, Heinrich, Stefan, Kraft, Markus
Other Authors: School of Chemical and Biomedical Engineering
Format: Article
Language:English
Published: 2018
Subjects:
Stochastic Weighted Algorithm
Granulation
Online Access:https://hdl.handle.net/10356/88020
http://hdl.handle.net/10220/44503
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Institution: Nanyang Technological University
Language: English
Description
Summary: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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