Abstract
Particulate products are widely used in industry, but manufacturing processes such as granulation or milling remain poorly understood. This is primarily because of the complexity of a typical particulate system involving particle–particle and particle–fluid interaction phenomena. Modelling of such particulate systems has become increasingly popular as a powerful means to gain insight into the phenomena that govern the particulate processes. However, it remains a challenge to translate reality into an efficient computational model.
This presentation describes an academic–industrial partnership project to develop a generic framework for creating digital models and enable industry to implement efficient state-of-the-art models, taking twin screw granulation as an exemplar case study. A multi-scale modelling approach is adopted, using Discrete Element Method (DEM) to provide particle-scale physics and inform the process-scale using Population Balance Model (PBM).
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John P. Morrissey
Research Scientist in Granular Mechanics
My research interests include particulate mechanics, the Discrete Element Method (DEM) and other numerical simulation tools. I’m also interested in all things data and how to extract meaningful information from it.