Investigation of granular dynamics in a continuous blender using the GPU-enhanced discrete element method

Chao Zheng, Liang Li, Bernardus Joseph Nitert, Nicolin Govender, Thomas Chamberlain, Ling Zhang, Chuan Yu Wu

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Continuous powder blending is an essential operation during continuous pharmaceutical manufacturing. However, the complex granular dynamics in the blender is still poorly understood. This study employs a graphic processor unit (GPU) enhanced discrete element method (DEM) to analyse the granular dynamics in a continuous blender. Numerical results indicate that only a small fraction of powder distributes in the upper region of the blender, while most of that distributes in the middle and lower regions. Besides, a higher impeller speed leads to a smaller hold-up mass and a shorter mean residence time. Interestingly, the maximum number of blade passes is achieved at an intermediate impeller speed. There are two distinct regimes during continuous blending: i) a shearing regime at low impeller speeds; and ii) a dynamic regime at high impeller speeds. This study demonstrates that the GPU-enhanced DEM can be a robust tool for analysing powder flow during continuous pharmaceutical manufacturing.

Original languageEnglish
Article number117968
JournalPowder Technology
Volume412
DOIs
Publication statusPublished - Nov 2022
Externally publishedYes

Keywords

  • Continuous blending
  • Continuous manufacturing
  • DEM
  • GPU computing
  • Powder flow
  • Residence time distribution

ASJC Scopus subject areas

  • General Chemical Engineering

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