Abstract
Die filling is a critical stage during powder compaction, which can significantly affect the product quality and efficiency. In this paper, a forced feeder is introduced attempting to improve the filling performance of a lab-scale die filling system. The die filling process is analysed with a graphics processing units (GPU) enhanced discrete element method (DEM). Various stirrer designs are assessed for a wide range of process settings (i.e., stirrer speed, filling speed) to explore their influence on the die filling performance of free-flowing powder. Numerical results show that die filing with the novel helical-ribbon (i.e., type D) stirrer design exhibits the highest filling ratio, implying that it is the most robust stirrer design for the feeder configuration considered. Furthermore, die filling performance with the type D stirrer design is a function of the stirrer speed and the filling speed. A positive variation of filling ratio (ηf>0%) can be ensured over the whole range of filling speed by adjusting the stirrer speed (i.e., increasing the stirrer speed). The approach used in this study can not only help understand how the stirrer design affects the die filling performance but also guide the optimization of feeder system and process settings.
Original language | English |
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Pages (from-to) | 107-115 |
Number of pages | 9 |
Journal | Particuology |
Volume | 88 |
DOIs | |
Publication status | Published - May 2024 |
Externally published | Yes |
Keywords
- Die filling
- Discrete element method
- Forced feeding
- GPU computing
- Stirrer design
ASJC Scopus subject areas
- General Chemical Engineering
- General Materials Science