Influence and prediction of hot deformation parameters on microstructure of Ti-15-3 alloy

被引：0
|
作者：
Li, P
Xue, KM
Lü, Y
Tan, JR
机构：
[1] Zhejiang Univ, Coll Mech & Energy Engn, Hangzhou 310027, Peoples R China
[2] Harbin Inst Technol, Sch Mat Sci & Engn, Harbin 150001, Peoples R China
来源：
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA | 2002年 / 12卷 / 03期
关键词：
Ti-15-3; alloy; artificial neural network; equivalent grain size; recrystallized grain volume percent;
D O I：
暂无
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
The effect of hot processing parameters on the microstructure of Ti-15-3 alloy after solution treatment was studied by isothermal compression test and metallurgical analysis. Predicting models for the relations between equivalent grain size and recrystallized grain volume percent with strain, strain rate and temperature have been developed with an artificial neural network method. The coincidence of predicted results with measured ones shows that the neural network can predict the influence of hot deformation parameters on the microstructure of Ti-15-3 alloy after solution treatment successfully. These studies are significant for determining hot-forging processing parameters of Ti-15-3 alloy.
引用
收藏
页码：454 / 457
页数：4
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