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Numerical analysis of die filling with a forced feeder using GPU-enhanced discrete element methods
Chao Zheng1, Edward Yost2, Ariel R Muliadi2
1Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, United Kingdom.
International Journal of Pharmaceutics
|June 1, 2022
Summary
This study analyzes powder die filling using GPU-based discrete element method (DEM). Higher initial powder beds improve filling ratios, while stirrers offer marginal benefits due to reduced space.
Area of Science:
- Materials Science
- Chemical Engineering
- Computational Mechanics
Background:
- Powder die filling is crucial for pharmaceutical and fine chemical industries.
- Optimizing formulation and processes requires understanding powder flow behavior.
Purpose of the Study:
- To analyze forced die filling using GPU-based DEM.
- To investigate the impact of operating parameters on die filling performance.
Main Methods:
- Graphics Processing Unit (GPU) based Discrete Element Method (DEM) simulation.
- Analysis of forced die filling with a wired stirrer.
Main Results:
- Increased initial powder bed height enhances the filling ratio.
- Deposited particle mass is largely independent of initial bed height above a critical level.
- Stirrer speed has a slight positive effect, but stirrers reduce overall filling ratio due to space occupation.
Conclusions:
- Initial powder bed height is a key parameter for optimizing die filling.
- Stirrer design and operation require careful consideration to avoid reducing effective discharge area.
- Findings aid in optimizing powder feeder systems and operating conditions.
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