Bibliographic Details
| Title: |
Hot deformation behavior and microstructure evolution mechanism of Ti–43Al–4Mo–0.6Mn–0.2C–0.2B alloy. |
| Authors: |
Gao, Jie1 (AUTHOR), Song, Lin1 (AUTHOR) songlin@nwpu.edu.cn, Liu, Shen1 (AUTHOR), Xu, Jianxi1 (AUTHOR), Zeng, Chen1 (AUTHOR), Kou, Zirui1 (AUTHOR), Zhang, Tiebang1 (AUTHOR) |
| Source: |
Journal of Materials Science. Aug2026, Vol. 61 Issue 29, p21580-21596. 17p. |
| Subjects: |
Hot working, Titanium-aluminum alloys, Activation energy, Deformations (Mechanics), Strains & stresses (Mechanics), Microstructure, Phase transitions, Recrystallization (Metallurgy) |
| Abstract: |
Wrought TiAl alloys are considered as promising high-temperature lightweight structural materials. In this study, isothermal hot compression tests were conducted on a newly developed Ti–43Al–4Mo–0.6Mn–0.2C–0.2B (at.%) alloy. The results show that the flow stress decreases significantly with increasing deformation temperature and decreasing strain rate, exhibiting typical dynamic softening behavior. A constitutive equation based on the Arrhenius-type hyperbolic sine model was established, which accurately predicts the flow stress, yielding a calculated hot deformation activation energy of 616.19 kJ/mol. The optimal hot working window determined from the processing map is in the temperature range of 1150–1200 °C with a strain rate of 0.01 s−1. Microstructure analysis reveals that pronounced dynamic recrystallization (DRX) occurs during hot deformation, resulting in the fragmentation of the initial cast lamellar structure into fine equiaxed grains. At high strain rates, the α2 phase content abnormally increases. EBSD analyses attribute this to adiabatic‑heating‑induced γ → α2 phase transformation. This study provides a theoretical basis for the design of hot working processes for TiAl alloys. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Materials Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |