Table 4: Pareto solutions of multi-objective optimization.
No. | Fp / mm | Fl / mm | δ / mm | θ / ° | Lp / mm | j/(f1/3) | Mass / g | h / W(m2∙K) | Δp / Pa |
0 | 2 | 9 | 0.16 | 30 | 1 | 0.01328 | 2.104 | 96.51 | 997.93 |
1 | 1.5498 | 8.3826 | 0.14268 | 23.893 | 0.84786 | 0.01335 | 1.682 | 95.15 | 1017.0 |
2 | 1.8378 | 7.6978 | 0.14092 | 31.573 | 1.12677 | 0.01391 | 1.761 | 98.86 | 1029.4 |
3 | 1.5738 | 9.153 | 0.14893 | 26.133 | 1.1744 | 0.01374 | 1.797 | 96.58 | 1016.9 |
4 | 1.8063 | 8.5164 | 0.16905 | 27.373 | 1.13464 | 0.01376 | 2.000 | 97.89 | 1024.9 |
5 | 1.8978 | 9.1102 | 0.13311 | 34.773 | 0.96447 | 0.01319 | 1.859 | 96.74 | 1021.7 |
6 | 2.1543 | 9.2297 | 0.15069 | 38.061 | 1.443 | 0.01342 | 2.119 | 96.23 | 947.03 |