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).
Presented as part of the virtual ATCx DEM in November 2022.
Speaker: Dr. John Morrissey, Research Fellow School of Engineering, University of Edinburgh
Duration: 22 minutes