Table 2 Comparison among the AI-model-based designs and experiment results
From: MLMD: a programming-free AI platform to predict and design materials
| Â | UTS (MPa) | TE | Ttest | Alloy elements (wt%) | NT | Nt | TT | Tt | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|  |  | (%) | °C | C | Cr | W | Si | Mn | V | Ta | Zr | Y | Ti | N | (°C) | (min) | (°C) | (min) |
Designed by work70 | 500 | 20.0 | 600 | 0.13 | 9.5 | 1.7 | 0.49 | 0.67 | 0.25 | 0.20 | 0.002 | 0.03 | 0.005 | 0.021 | 1010 | 36 | 660 | 76 |
Designed by MLMD | 498 | 21.0 | 600 | 0.11 | 9.7 | 1.6 | 0.41 | 0.27 | 0.49 | 0.20 | 0.004 | 0.009 | 0.010 | 0.039 | 1045 | 49 | 658 | 75 |
Experiment in work70 | 539 | 20.6 | 600 | 0.13 | 9.5 | 1.7 | 0.49 | 0.67 | 0.25 | 0.20 | 0.002 | 0.03 | 0.005 | 0.021 | 1010 | 36 | 660 | 76 |