Research Article
Quasi-Non-Destructive Evaluation of Yield Strength Using Neural Networks
Table 1
The chemical compositions
of steels used in the present study.
| Material | C | Mn | Si | Zn | Ni | Cr | Mo | Al | Cu | Zr | Fe |
| Aluminum alloy (AR66) | 0.0 | 0.0 | 0.0 | 6.3 | 0.0 | 0.0 | 0.0 | Rest | 1.55 | 0.14 | 0 | Chromium steel (H11) | 0.36 | 0.4 | 1.00 | 0.0 | 0.0 | 5.0 | 1.1 | 0.0 | 0.0 | 0.0 | Rest | Medium carbon steel (MC) | 0.35 | 0.68 | 0.15 | 0.0 | 0.01 | 0.02 | 0.02 | 0.01 | 0.03 | 0.0 | Rest | Low carbon steel (LC) | 0.19 | 0.44 | 0.14 | 0 | 0.15 | 0.1 | 0.04 | 0.02 | 0.13 | 0.01 | Rest |
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