TY - JOUR
T1 - Prediction of processing-microstructure of TA15 titanium alloy using artificial neural network
AU - Zhu, Jing Chuan
AU - Yue, Yang
AU - Wang, Yang
AU - Liu, Yong
AU - Yang, Xia Wei
PY - 2009/4
Y1 - 2009/4
N2 - 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.
AB - 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.
KW - BP artificial neural network
KW - Firstborn α phase
KW - TA15 titanium alloy
KW - Three dimensional shaded surface
UR - http://www.scopus.com/inward/record.url?scp=65549137258&partnerID=8YFLogxK
M3 - 文章
AN - SCOPUS:65549137258
SN - 1004-0609
VL - 19
SP - 649
EP - 655
JO - Zhongguo Youse Jinshu Xuebao/Chinese Journal of Nonferrous Metals
JF - Zhongguo Youse Jinshu Xuebao/Chinese Journal of Nonferrous Metals
IS - 4
ER -