Table 6 The optimization result of the representative Pareto optimization design at OPT-A.
From: New insights into the micromixer with Cantor fractal obstacles through genetic algorithm
Optimization | Design variables | Objective functions | |||
|---|---|---|---|---|---|
a/b | \({\text{w}}/{\uplambda }\) | \({\text{d}}/{\text{h}}\) | M (Re = 1) | \(\Delta\)P (Re = 1) | |
OPT-1 | 0.3439 | 0.4975 | 0.9998 | 0.9945 | 260.426 |
OPT-2 | 0.5266 | 0.4467 | 0.9999 | 0.9269 | 66.0687 |
OPT-3 | 0.5748 | 0.4653 | 1.0000 | 0.8735 | 45.6592 |
OPT-4 | 0.5739 | 0.4935 | 0.9996 | 0.8363 | 37.1408 |
OPT-5 | 0.6084 | 0.4940 | 0.9998 | 0.7975 | 31.4788 |
