Activities per year
Abstract / Description of output
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. Four methods are evaluated in this paper to achieve this goal: (i) develop reduced-scale periodic simulations to reduce the number of particles; (ii) further reduce this number by scaling particle sizes appropriately; (iii) adopt an adhesive, elasto-plastic contact model to capture the effect of the liquid binder rather than fluid coupling; (iv) identify the subset of model parameters that are influential for calibration. All DEM simulations considered a GEA ConsiGma™ 1 twin-screw granulator with a 60° rearward configuration for kneading elements. Periodic simulations yielded similar results to a full-scale simulation at significantly reduced computational cost. If the level of cohesion in the contact model is calibrated using laboratory testing, valid results can be obtained without fluid coupling. Friction between granules and the internal surfaces of the granulator is a very influential parameter because the response of this system is dominated by interactions with the geometry.
Original language | English |
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Article number | 2136 |
Journal | Pharmaceutics |
Volume | 13 |
Issue number | 12 |
Early online date | 12 Dec 2021 |
DOIs | |
Publication status | E-pub ahead of print - 12 Dec 2021 |
Keywords / Materials (for Non-textual outputs)
- powder agglomeration
- Discrete element method
- cohesion
- wet granulation
- twin-screw granulation
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Data from "Conceptualisation of an efficient particle-based simulation of a twin-screw granulator"
Morrissey, J. (Creator), Hanley, K. (Project Member) & Ooi, J. (Supervisor), Edinburgh DataShare, 8 Dec 2021
DOI: 10.7488/ds/3251, https://datashare.ed.ac.uk/handle/10283/4179
Dataset
Activities
- 1 Invited talk
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A DEM Study of Wet Granulation in a Twin Screw Granulator
John Morrissey (Invited speaker)
15 Jun 2022Activity: Academic talk or presentation types › Invited talk