Abstract
Parameters of processing ( aging temperature, time) and aged hardness of maraging steel were obtained through mechanical properties examination, and their relationship network model was built by BP artificial neural network. The results show that the built modelcan reflect the relationships between the processing and the aged hardness very well and is certainly accurate. It can be used for predicting the properties of 3J33B steel under different aging process. Meanwhile, the optimized aging temperature and time can be obtained with particle swarm optimization. The model can serve as a guide for the aging treatment of maraging steel.
| Original language | English |
|---|---|
| Pages (from-to) | 107-110 |
| Number of pages | 4 |
| Journal | Jinshu Rechuli/Heat Treatment of Metals |
| Volume | 36 |
| Issue number | 11 |
| State | Published - Nov 2011 |
| Externally published | Yes |
Keywords
- Artificial neural network
- Maraging steel
- Particle swarm optimization
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