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

11 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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

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

ASJC Scopus subject areas

  • General Chemical Engineering

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