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通过等温压缩试验和金相分析研究了热变形参数对 Ｔｉ－１５－３（Ｔｉ－１５Ｖ－３Ｃｒ－３Ｓｎ－３Ａｌ）合金固溶处理后显微组织的影响．等效晶粒尺寸随变形温度升高而增大、随变形程度和变形速率增加而减小：再结晶程度随变形温度升高而减小，随变形程度和变形速率增加而增大，采用人工神经网络的方法建立了等效晶粒尺寸及再结晶晶粒体积百分数与变形程度、变形速率和变形温度间的数学模型、预测值与实测值吻台较好．表明该方法很好地预测热变形参数对Ｔｉ－１５－３合金固溶处理后显微组织的影响．
The effects of hot deformation parameters on the microstructure of Ti-15-3 (Ti-15V-3Cr-3Sn-3Al) alloy after solution treatment were investigated by isothermal compression test and metallographic analysis. The equivalent grain size increases with the increase of deformation temperature and decreases with the increase of deformation degree and deformation rate. The degree of recrystallization decreases with the increase of deformation temperature and increases with the deformation degree and deformation rate. Neural network method to establish the equivalent grain size and recrystallization grain volume percentage and the degree of deformation, deformation rate and temperature between the deformation of the mathematical model, the predicted value and the measured value of kissing Taiwan better. The results show that this method can predict the effect of thermal deformation parameters on the microstructure of Ti-15-3 alloy after solution treatment.