(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: TA15鈦合金經(jīng)過不同條件的熱約束變形之后進行金相觀察，獲得了工藝(溫度、應(yīng)變、應(yīng)變速率、冷卻方式)和組織(初生α相含量、初生α相尺寸、初生α相長徑比)參數(shù)數(shù)據(jù)，分別以這些數(shù)據(jù)作為輸入和輸出，建立了結(jié)構(gòu)為4×6×8×3的BP人工神經(jīng)網(wǎng)絡(luò)。研究結(jié)果表明：所建立的網(wǎng)絡(luò)可以很好地反映出材料的工藝−組織之間的關(guān)系并且具有一定的精度，網(wǎng)絡(luò)模型可以用來預(yù)測不同變形條件下TA15鈦合金的組織，且對于TA15鈦合金的實際生產(chǎn)具有有效的指導(dǎo)作用。
關(guān)鍵字: TA15鈦合金；初生α相；BP人工神經(jīng)網(wǎng)絡(luò)；三維曲面
（School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China）
Abstract: After hot restriction experiments, processing parameters (temperature, strain, strain rate, cooling) and microstructures(firstborn α quantity, size, aspect ratio)of TA15 titanium alloy were obtained through microscopic examination, a 4×6×8×3 BP artificial neural network was built with these parameters as neurons of its input and output layer. The results show that the model can reflect the relationships finely and has certain accuracy. The model can be used to predict the microstructures of TA15 titanium alloy. Meanwhile, it can also serve as a guide for the heat treatment of TA15 titanium alloy.
Key words: TA15 titanium alloy; firstborn α phase; BP artificial neural network; three dimensional shaded surface
