TY - JOUR
T1 - Mechanisms and rate prediction modeling of corrosion fatigue crack propagation in 2050-T84 Al-Li alloy
AU - Han, Chao
AU - Yu, Mei
AU - Yang, Zhong
AU - Zhao, Zhenjiang
AU - Jia, Xuejiao
AU - Xiao, Jian
AU - Wang, Jun
AU - Lu, Tianyi
AU - Li, Songmei
AU - Liu, Jianhua
N1 - Publisher Copyright:
© 2026 Elsevier B.V.
PY - 2026/5
Y1 - 2026/5
N2 - Corrosion fatigue crack propagation behavior plays a critical role in determining the structural integrity and safe service life of aerospace components. This study systematically investigated the key factors influencing corrosion fatigue crack propagation in 2050-T84 Al–Li alloy, with particular emphasis on the roles of subgrains microstructure, corrosion product layers, stress ratio, and loading orientation. Within the subgrains, the presence of dislocations and cross-distributed precipitates induced localized stress concentration, thereby altering the trajectory of corrosion fatigue crack propagation. The dense corrosion pits within subgrains mitigated stress concentration at the crack tip, promoting crack deflection and subsequent crack closure. Corrosion product layers altered the electrochemical potential gradient between the alloy surface and the crack interior, directly affecting the anodic dissolution rate at the crack tip and consequently influencing the crack growth rate. Based on these insights, a predictive model for corrosion fatigue crack propagation was developed and validated against experimental data, demonstrating strong agreement between predicted and observed crack propagation behavior.
AB - Corrosion fatigue crack propagation behavior plays a critical role in determining the structural integrity and safe service life of aerospace components. This study systematically investigated the key factors influencing corrosion fatigue crack propagation in 2050-T84 Al–Li alloy, with particular emphasis on the roles of subgrains microstructure, corrosion product layers, stress ratio, and loading orientation. Within the subgrains, the presence of dislocations and cross-distributed precipitates induced localized stress concentration, thereby altering the trajectory of corrosion fatigue crack propagation. The dense corrosion pits within subgrains mitigated stress concentration at the crack tip, promoting crack deflection and subsequent crack closure. Corrosion product layers altered the electrochemical potential gradient between the alloy surface and the crack interior, directly affecting the anodic dissolution rate at the crack tip and consequently influencing the crack growth rate. Based on these insights, a predictive model for corrosion fatigue crack propagation was developed and validated against experimental data, demonstrating strong agreement between predicted and observed crack propagation behavior.
KW - Al-Li alloy
KW - Corrosion fatigue crack propagation
KW - Electrochemical behavior
KW - Microstructures
KW - Prediction model
UR - https://www.scopus.com/pages/publications/105033033098
U2 - 10.1016/j.msea.2026.150058
DO - 10.1016/j.msea.2026.150058
M3 - 文章
AN - SCOPUS:105033033098
SN - 0921-5093
VL - 960
JO - Materials Science and Engineering: A
JF - Materials Science and Engineering: A
M1 - 150058
ER -