Open Access
ARTICLE
Numerical Simulation of Low Cycle Fatigue Behavior of Ti2AlNb Alloy Subcomponents
Yanju Wang1, Zhenyu Zhu2, Aixue Sha1, Wenfeng Hao3,*
1
Materials Evaluation Center for Aeronautical and Aeroengine Application, AECC Beijing Institute of Aeronautical Materials,
Beijing, 100095, China
2
Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang, 212013, China
3
College of Mechanical Engineering, Yangzhou University, Yangzhou, 225127, China
* Corresponding Author: Wenfeng Hao. Email:
(This article belongs to this Special Issue: Mechanical Reliability of Advanced Materials and Structures for Harsh Applications)
Computer Modeling in Engineering & Sciences 2023, 136(3), 2655-2676. https://doi.org/10.32604/cmes.2023.025749
Received 28 July 2022; Accepted 12 October 2022; Issue published 09 March 2023
Abstract
Many titanium alloy subcomponents are subjected to fatigue loading in aerospace engineering, resulting in fatigue
failure. The fatigue behavior of Ti
2AlNb alloy subcomponents was investigated based on the Seeger fatigue life
theory and the improved Lemaitre damage evolution theory. Firstly, the finite element models of the standard openhole specimen and Y-section subcomponents have been established by ABAQUS. The damage model parameters
were determined by fatigue tests, and the reliability of fatigue life simulation results of the Ti
2AlNb alloy standard
open-hole specimen was verified. Meanwhile, the fatigue life of Ti
2AlNb alloy Y-section subcomponents was
predicted. Under the same initial conditions, the average error of fatigue life predicted by two different models
was 20.6%. Finally, the effects of loading amplitude, temperature, and Y-interface angle on fatigue properties of
Ti
2AlNb Y-section subcomponents were investigated. These results provide a new idea for evaluating the fatigue
life of various Ti
2AlNb alloy subcomponents.
Keywords
Cite This Article
Wang, Y., Zhu, Z., Sha, A., Hao, W. (2023). Numerical Simulation of Low Cycle Fatigue Behavior of Ti
2AlNb Alloy Subcomponents.
CMES-Computer Modeling in Engineering & Sciences, 136(3), 2655–2676.