会议论文详细信息
| International Scientific and Practical Conference: Water Power Energy Forum 2018 | |
| Neural network modeling of surface heat transfer intensifiers in the form of segment recesses | |
| Gilfanov, K.Kh.^1 ; Shakirov, R.A.^1 | |
| Kazan State Power Engineering University, Krasnoselskaya str. 51, Kazan | |
| 420066, Russia^1 | |
| 关键词: Heat exchange surfaces; Neural network model; Surface heat transfer; | |
| Others : https://iopscience.iop.org/article/10.1088/1755-1315/288/1/012087/pdf DOI : 10.1088/1755-1315/288/1/012087 |
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| 来源: IOP | |
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【 摘 要 】
The results of neural network modeling of surface heat transfer intensifiers in the form of spherical recesses are presented, based on experimental data. The possibility and prospects of building artificial neural networks for modeling the characteristics of heat exchange surfaces are shown.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Neural network modeling of surface heat transfer intensifiers in the form of segment recesses | 710KB |
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