Research Article
Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network
Table 3
Standard
orthogonal array of simulated ambient parameters and boiling heat transfer coefficient.
| Simulated ambient conditions | Atmospheric pressure (kPa) | Ambient temperature (°C) | Ambient relative humidity (%) | Ambient wind velocity (m/s) | Mass flux rate (kg m−2 s−1) | Heat flux (W m−2) | Quality of vapor-liquid mixture (%) | Evaporation temperature (K) |
| 1 | 80.735 | 30 | 15 | 2.7 | 763.4 | 532.32 | 0.5429 | 313.15 | 2 | 80.735 | 26 | 20 | 2.1 | 294.9 | 509.18 | 0.3722 | 313.15 | 3 | 80.735 | 22 | 25 | 1.5 | 491.5 | 231.54 | 0.4996 | 313.15 | 4 | 80.735 | 30 | 20 | 1.5 | 688.1 | 300.78 | 0.7061 | 323.15 | 5 | 80.735 | 26 | 25 | 2.7 | 786.3 | 240.62 | 0.5957 | 323.15 | 6 | 80.735 | 22 | 15 | 2.1 | 393.2 | 694.33 | 0.3920 | 323.15 | 7 | 80.735 | 30 | 25 | 2.1 | 196.6 | 416.60 | 0.1660 | 333.15 | 8 | 80.735 | 26 | 15 | 1.5 | 678.3 | 891.73 | 0.4425 | 333.15 | 9 | 80.735 | 22 | 20 | 2.7 | 589.8 | 601.64 | 0.1981 | 333.15 |
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