Do particle-related parameters influence circulating fluidized bed (CFB) riser flux and elutriation?
In fluidized bed systems, particle properties (e.g., particle diameter, Reynolds number) are acknowledged to be important in dictating various fluidization phenomena, and are thereby commonly included in empirical correlations and physical models. The goal of this study was to harness machine learni...
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| Main Authors: | , |
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| 其他作者: | |
| 格式: | Article |
| 語言: | English |
| 出版: |
2021
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/152264 |
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| 機構: | Nanyang Technological University |
| 語言: | English |