TY - JOUR
T1 - Improvement of oxidation resistance of Nb–Ti–Si based alloys with additions of Al, Cr and B at different temperatures
AU - Sun, Guangxin
AU - Jia, Lina
AU - Hong, Zhen
AU - Liu, Guangxu
AU - Zhang, Hu
N1 - Publisher Copyright:
© 2021 Chinese Materials Research Society
PY - 2021/6
Y1 - 2021/6
N2 - The effects of Cr, Al and B addition on the microstructure and high-temperature oxidation behaviors (at 1200, 1250 and 1300 °C) of Nb–Ti–Si based alloys were investigated. The results showed that the addition of Cr stabilized α-Nb5Si3, while Al promoted the formation of β-Nb5Si3 and adding B promoted the formation of γ-Nb5Si3. Among the three elements, Al and Cr were beneficial to oxidation resistance at 1200 °C, and B was favorable to the oxidation resistance at 1300 °C. At 1250 °C, Al and B had the same effects on the improvement of oxidation resistance. The ratio of these alloying elements might play an important role in enhancing oxidation resistance. The oxidation resistance of the three kinds of silicides was compared, and the sequence was: γ-Nb5Si3> β-Nb5Si3> α-Nb5Si3. To predict the effects of the investigated alloying elements on the oxidation resistance of Nb–Ti–Si based alloys in a wider range of concentration, an artificial neural network (ANN) model was established, showing excellent accuracy and generalization ability. With the instructions of the ANN model, the oxidation resistance can be optimized with less additions of alloying elements.
AB - The effects of Cr, Al and B addition on the microstructure and high-temperature oxidation behaviors (at 1200, 1250 and 1300 °C) of Nb–Ti–Si based alloys were investigated. The results showed that the addition of Cr stabilized α-Nb5Si3, while Al promoted the formation of β-Nb5Si3 and adding B promoted the formation of γ-Nb5Si3. Among the three elements, Al and Cr were beneficial to oxidation resistance at 1200 °C, and B was favorable to the oxidation resistance at 1300 °C. At 1250 °C, Al and B had the same effects on the improvement of oxidation resistance. The ratio of these alloying elements might play an important role in enhancing oxidation resistance. The oxidation resistance of the three kinds of silicides was compared, and the sequence was: γ-Nb5Si3> β-Nb5Si3> α-Nb5Si3. To predict the effects of the investigated alloying elements on the oxidation resistance of Nb–Ti–Si based alloys in a wider range of concentration, an artificial neural network (ANN) model was established, showing excellent accuracy and generalization ability. With the instructions of the ANN model, the oxidation resistance can be optimized with less additions of alloying elements.
KW - Alloying
KW - Artificial neural network
KW - Nb–Ti–Si alloys
KW - Oxidation resistance
UR - https://www.scopus.com/pages/publications/85108002041
U2 - 10.1016/j.pnsc.2021.04.006
DO - 10.1016/j.pnsc.2021.04.006
M3 - 文章
AN - SCOPUS:85108002041
SN - 1002-0071
VL - 31
SP - 442
EP - 453
JO - Progress in Natural Science: Materials International
JF - Progress in Natural Science: Materials International
IS - 3
ER -