Influence and prediction of hot deformation
parameters on microstructure of
Ti-15-3 alloy
parameters on microstructure of
Ti-15-3 alloy
(1. College of Mechanical and Energy Engineering，
Zhejiang University，Hangzhou 310027, China；
2. School of Materials Science and Engineering，
Harbin Institute of Technology，Harbin 150001, China)
Zhejiang University，Hangzhou 310027, China；
2. School of Materials Science and Engineering，
Harbin Institute of Technology，Harbin 150001, China)
Abstract: 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 f or determining hot-forging processing parameters of Ti-15-3 alloy.
Key words: Ti-15-3 alloy; artificial neural network; equivalent grain size; recrystallized grain volume percent