Table 3. Optimized Values from Case 2 Using a Linear Programming Technique.
| objective | x (mm) | Tw (°C) | Re | δt (mm) | Q (W) | |
|---|---|---|---|---|---|---|
| condition 1 | minimum | 377.3 | 131.89 | 15,001 | 16.9 | 135.14 |
| average | 606.6 | 121.23 | 24,506 | 19.6 | 161.21 | |
| maximum | 907.2 | 108.53 | 41,326 | 24.3 | 598.63 | |
| condition 2 | minimum | 198.6 | 83.20 | 9057 | 18.04 | 12.11 |
| average | 602.1 | 100.01 | 27,222 | 13.74 | 160.40 | |
| maximum | 1010.2 | 127.36 | 40,199 | 0.04 | 601.01 |