(哈爾濱工業(yè)大學(xué) 材料科學(xué)與工程學(xué)院，哈爾濱 150001)
摘 要: 研究了變形參數(shù)對(duì)Ti-15-3合金熱變形后晶粒軸比的影響，并采用人工神經(jīng)網(wǎng)絡(luò)方法建立了其晶粒軸比與變形程度、變形速率和變形 溫度之間的數(shù)學(xué)模型。將此模型與熱力耦合剛粘塑性有限元方法相結(jié)，對(duì)Ti-15-3合金熱反擠成型過(guò)程的晶粒軸比場(chǎng)進(jìn)行數(shù)值模擬和相應(yīng)實(shí)驗(yàn)研究，結(jié)果表明，預(yù)測(cè)值與實(shí)測(cè)值吻合較好。
關(guān)鍵字: Ti-15-3合金；人工神經(jīng)網(wǎng)絡(luò)；晶粒軸比；有限元法
of grain axial ratio of Ti-15-3
alloy during hot deformation
（School of Materials Science and Engineering，
Harbin Institute of Technology，Harbin 150001,China）
Abstract:The effect of processing parameters on the grain axial ratio of Ti-15-3 was studied and the predicting model for the relation between grain axial ratio and strain，strain rate and temperature for Ti-15-3 alloy was developed by an artificial neural network method.This model was incorporated into rigid-viscoplastic thermo-coupled finite element method and the hot back-extrusion process of Ti-15-3 alloy was simulated. Corresponding experimental research was performed.The coincidence of the predicted results with measured ones shows that the method is able to successfully predict the grain axial ratio of Ti-15-3 alloy after hot deformation.
Key words: Ti-15-3 alloy；artificial neural network; grain axial ratio; finite element method
