Abstract
The effect of drying and atomization conditions on the physical properties of powders for agglomerate-like materials and skin-forming material are studied in this article. A neural model is used for powder bulk and tapped density predictions.
| Original language | English |
|---|---|
| Pages (from-to) | 1653-1665 |
| Number of pages | 13 |
| Journal | Drying Technology |
| Volume | 23 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2005 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Density
- Neural network
- Particle diameter
- Powder
- Principal component analysis
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