摘要
After hot restriction experiments, processing parameters (temperature, strain, strain rate, cooling) and microstructures (firstborn α quantity, size, aspect ratio) of TA15 titanium alloy were obtained through microscopic examination, a 4×6×8×3 BP artificial neural network was built with these parameters as neurons of its input and output layer. The results show that the model can reflect the relationships finely and has certain accuracy. The model can be used to predict the microstructures of TA15 titanium alloy. Meanwhile, it can also serve as a guide for the heat treatment of TA15 titanium alloy.
| 源语言 | 英语 |
|---|---|
| 页(从-至) | 649-655 |
| 页数 | 7 |
| 期刊 | Zhongguo Youse Jinshu Xuebao/Chinese Journal of Nonferrous Metals |
| 卷 | 19 |
| 期 | 4 |
| 出版状态 | 已出版 - 4月 2009 |
| 已对外发布 | 是 |
指纹
探究 'Prediction of processing-microstructure of TA15 titanium alloy using artificial neural network' 的科研主题。它们共同构成独一无二的指纹。引用此
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