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

来源期刊：中国有色金属学报(英文版)2002年第3期

论文作者：李萍 薛克敏 吕炎 谭建荣

文章页码：454 - 457

Key words：Ti-15-3 alloy; artificial neural network; equivalent grain size; recrystallized grain volume percent

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.