TY - JOUR
T1 - Ti-Zr-Nb 固溶体合金动态压缩强度的机器学习模型优化
AU - Li, Shukui
AU - Fan, Bojian
AU - Liu, Xingwei
AU - Si, Shengping
AU - Liu, Shuang
AU - Xie, Ruyue
AU - Liu, Jinxu
N1 - Publisher Copyright:
© 2023 Beijing Institute of Technology. All rights reserved.
PY - 2023/5
Y1 - 2023/5
N2 - The Ti-Zr-Nb solid solution alloys possess great application value in the fields of blast and fragmentation warhead and shaped warhead due to its excellent strength, plasticity and impact energy release characteristics. In order to achieve accurate prediction of dynamic mechanical properties of Ti-Zr-Nb solid solution alloys and provide support to composition optimization of warhead materials, 56 Ti-Zr-Nb alloys were prepared by powder metallurgy and the dynamic compression strength was tested. Furthermore, optimization of machine learning models and selection of key features for the prediction of dynamic compression strength were carried out. The results show that the prediction error of optimized model can achieve less than 8%, and three key features can be selected and ordered as: Δχ>G>δG. The optimized model can be used to design new alloys with higher dynamic compression strength successfully, being 3 100 MPa and higher than other similar alloys.
AB - The Ti-Zr-Nb solid solution alloys possess great application value in the fields of blast and fragmentation warhead and shaped warhead due to its excellent strength, plasticity and impact energy release characteristics. In order to achieve accurate prediction of dynamic mechanical properties of Ti-Zr-Nb solid solution alloys and provide support to composition optimization of warhead materials, 56 Ti-Zr-Nb alloys were prepared by powder metallurgy and the dynamic compression strength was tested. Furthermore, optimization of machine learning models and selection of key features for the prediction of dynamic compression strength were carried out. The results show that the prediction error of optimized model can achieve less than 8%, and three key features can be selected and ordered as: Δχ>G>δG. The optimized model can be used to design new alloys with higher dynamic compression strength successfully, being 3 100 MPa and higher than other similar alloys.
KW - Ti-Zr-Nb solid solution alloys
KW - dynamic compression strength
KW - machine learning
UR - http://www.scopus.com/inward/record.url?scp=85170200447&partnerID=8YFLogxK
U2 - 10.15918/j.tbit1001-0645.2022.112
DO - 10.15918/j.tbit1001-0645.2022.112
M3 - 文章
AN - SCOPUS:85170200447
SN - 1001-0645
VL - 43
SP - 517
EP - 525
JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
IS - 5
ER -