Research Article
Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network
Table 5
Some of the experimental data after being normalized.
| Sequence number | Mass flux rate (kg m−2 s−1) | Heat flux (W m−2) | Quality of vapor-liquid mixture (%) | Evaporation temperature (K) | Coefficient of heat transfer (W/(m2 K)) |
| 1 | 0.1667 | 0.2982 | 0.4011 | 0 | 0.3589 | 2 | 0.3334 | 0.3621 | 0.5492 | 0 | 0.4773 | 3 | 0.5001 | 0.3621 | 0.4411 | 0 | 0.5513 | 4 | 0.6668 | 0.3408 | 0.1988 | 0 | 0.6254 | 5 | 0.8335 | 0.2769 | 0.0315 | 0 | 0.3737 | 6 | 0.8335 | 0.4899 | 0.6608 | 0 | 0.7142 | 7 | 1.0000 | 0.4473 | 0.4241 | 0 | 0.8603 | 8 | 0 | 0.1917 | 0.7960 | 0.5000 | 0.2412 | 9 | 0.1667 | 0.2130 | 0.7891 | 0.5000 | 0.2774 | 10 | 0.3334 | 0.2343 | 0.5995 | 0.5000 | 0.3905 | 11 | 0.5001 | 0.2130 | 0.3202 | 0.5000 | 0.4652 | 12 | 0.6668 | 0.1917 | 0.1409 | 0.5000 | 0.4822 | 13 | 0.8335 | 0.1491 | 0.0159 | 0.5000 | 0.2769 | 14 | 0.8335 | 0.3195 | 0.4828 | 0.5000 | 0.6025 | 15 | 1.0000 | 0.2769 | 0.3100 | 0.5000 | 0.7592 | 16 | 0 | 0.0426 | 0.4945 | 1.0000 | 0.1134 | 17 | 0.1667 | 0.0426 | 0.1760 | 1.0000 | 0.1686 | 18 | 0.3334 | 0.0213 | 0.0223 | 1.0000 | 0.0857 | 19 | 0.3334 | 0.0852 | 0.4517 | 1.0000 | 0.2652 | 20 | 0.5001 | 0.0852 | 0.3079 | 1.0000 | 0.3624 | 21 | 0.6668 | 0.0639 | 0.1615 | 1.0000 | 0.3457 | 22 | 0.8335 | 0.0426 | 0.0639 | 1.0000 | 0.3122 | 23 | 1.0000 | 0.0213 | −0.0045 | 1.0000 | 0.1521 | 24 | 1.0000 | 0.1278 | 0.2664 | 1.0000 | 0.5849 | … | … | … | … | … | … |
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