Numerical analysis of die filling with a forced feeder using GPU-enhanced discrete element methods

Chao Zheng, Edward Yost, Ariel R. Muliadi, Nicolin Govender, Ling Zhang, Chuan Yu Wu

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Understanding die filling behaviour of powders is critical in developing optimal formulation and processes in various industries, such as pharmaceuticals and fine chemicals. In this paper, forced die filling is analysed using a graphics processing unit (GPU) based discrete element method (DEM), for which a powder feeder equipped with a wired stirrer is considered. The influences of operating parameters, such as the initial powder bed height, the filling speed, and the stirrer speed, on the die filling performance are systematically explored. It is shown that a larger initial powder bed height leads to a higher filling ratio, which can be attributed to a higher filling intensity; while the deposited particle mass in the die is almost independent of the powder bed height, when the initial fill level is larger than a critical bed height. Additionally, the filling ratio slightly increases with the increase of stirrer speed for cases with a stirrer, while the filling ratios are lower than that without a stirrer, which is attributed to the stirrer occupying some space above the die and reducing the effective discharge area. The obtained results can provide useful information for optimising the feeder system design and the operating condition.

Original languageEnglish
Article number121861
JournalInternational Journal of Pharmaceutics
Volume622
DOIs
Publication statusPublished - 25 Jun 2022
Externally publishedYes

Keywords

  • Die filling
  • Discrete element method
  • Filling ratio
  • Flow behaviour
  • Stirrer speed

ASJC Scopus subject areas

  • Pharmaceutical Science

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