期刊
POWDER TECHNOLOGY
卷 412, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.powtec.2022.117968
关键词
DEM; Continuous blending; Continuous manufacturing; Residence time distribution; Powder flow; GPU computing
资金
- Flanders Innovation & Entrepreneurship (VLAIO)
- European Union [840264]
- Janssen Pharmaceutica NV in Belgium [HBC.2019.2927]
- Marie Curie Actions (MSCA) [840264] Funding Source: Marie Curie Actions (MSCA)
The study uses GPU-enhanced DEM to analyze granular dynamics in a continuous blender. Results show most powder distributes in the middle and lower regions, higher impeller speed leads to smaller hold-up mass and shorter residence time, and maximum blade passes are achieved at intermediate speed.
Continuous powder blending is an essential operation during continuous pharmaceutical manufacturing. How-ever, 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 demon-strates that the GPU-enhanced DEM can be a robust tool for analysing powder flow during continuous phar-maceutical manufacturing.
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