John P. Morrissey
John P. Morrissey
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twin-screw granulation
Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator
Discrete Element Method (DEM) simulations have the potential to provide particle-scale understanding of twin-screw granulators. This is difficult to obtain experimentally because of the closed, tightly confined geometry. An essential prerequisite for successful DEM modelling of a twin-screw granulator is making the simulations tractable, i.e., reducing the significant computational cost while retaining the key physics.
John P. Morrissey
,
Kevin J. Hanley
,
Jin Y. Ooi
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DOI
Model driven design for twin screw granulation using mechanistic-based population balance model
This paper presents a generic framework of Model Driven Design (MDD) with its application for a twin screw granulation process using a mechanistic-based population balance model (PBM).
Li Ge Wang
,
John P. Morrissey
,
Dana Barrasso
,
David Slade
,
Sean Clifford
,
Gavin Reynolds
,
Jin Y. Ooi
,
James D. Litster
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DOI
Application of Digital Twin in the Particulate Process: Impact Pin Mill and Twin Screw Granulation
This paper presents the application of a digital twin in industrial manufacturing with an impact pin mill and twin screw granulator as exemplar studies. A new particle breakage model subject to impact loading pertaining to the impact pin mill was developed, which enables the contribution of the normal and tangential velocity components to be rationalised. In the twin screw granulation, a coupled model with DEM and PBM is proposed with a new breakage kernel developed for the TSG. The application of digital twin is hoped to facilitate the understanding of particulate process and help transit from digital design to digital operation.
Li Ge Wang
,
John P. Morrissey
,
Jin Y. Ooi
,
James D. Litster
,
David Slade
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