Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Article number2136
Issue number12
Early online date12 Dec 2021
Publication statusE-pub ahead of print - 12 Dec 2021

Keywords / Materials (for Non-textual outputs)

  • powder agglomeration
  • Discrete element method
  • cohesion
  • wet granulation
  • twin-screw granulation


Dive into the research topics of 'Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator'. Together they form a unique fingerprint.

Cite this