文献类型：期刊文献

英文题名：Elucidating the strain rate and temperature dependent plasticity of TB9 titanium alloy: An integrated constitutive and microstructural analysis

作者：Mo, Ningning Feng, Zhiguo Jiang, Yulian Lu, Rengang Tao, Liang Deng, Jianhua

第一作者：Mo, Ningning

通信作者：Feng, ZG[1]

机构：[1]Guizhou Univ, Sch Mech Engn, Guiyang 550025, Guizhou, Peoples R China;[2]Guizhou Univ, Key Lab Special Equipment & Mfg Technol, Guiyang 550025, Guizhou, Peoples R China;[3]Guizhou Inst Technol, Coll Mech Engn, Guiyang 550025, Guizhou, Peoples R China;[4]Guizhou Univ, Coll Civil Engn, Guiyang 550025, Guizhou, Peoples R China

第一机构：Guizhou Univ, Sch Mech Engn, Guiyang 550025, Guizhou, Peoples R China

通信机构：corresponding author), Guizhou Univ, Sch Mech Engn, Guiyang 550025, Guizhou, Peoples R China.

年份：2026

卷号：1075

外文期刊名：JOURNAL OF ALLOYS AND COMPOUNDS

收录：;EI(收录号：20262620978551);WOS:【SCI-EXPANDED(收录号:WOS:001806990800001)】；

基金：This work was supported by the National Natural Science Foundation of China (Grant No. 52165042), Guizhou Provincial Science and Technology Program (Grant No. ZD [2026] 043 and ZD [2025] 041) , Guizhou Science and Technology Project (Grant No. 2023308) , and Guizhou Provincial Graduate Education Innovation Program Project (Grant No. 2024YJSKYJJ033 and 2024YJSKYJJ032) .

语种：英文

外文关键词：TB9 titanium alloy; High strain-rate; Constitutive model; Microstructure evolution; Neural network; Upsetting process

摘要：TB9 titanium alloy has been extensively applied in aerospace structural components. To systematically investigate its mechanical behavior under high strain-rate conditions, dynamic compression experiments were conducted on drawn TB9 titanium alloy wire at strain rates of 1500-4000 s-1 and temperatures of 20-700 degrees C. The microstructure evolution of the deformed specimens was analyzed by electron backscatter diffraction (EBSD), and four constitutive models for TB9 titanium alloy under high strain-rate conditions were calibrated based on experimental data. The upsetting process of TB9 wire was further analyzed. The results indicate that higher strain rates lead to grain refinement, characterized by a reduction in average grain size, while simultaneously increasing the flow stress. In comparison, the effect of temperature on microstructural evolution is more intricate. The evolution of grain size is jointly controlled by recrystallization behavior and deformation extent, resulting in a non-monotonic variation characterized by initial coarsening followed by refinement. Correspondingly, the flow stress exhibits a decreasing trend with increasing temperature. The predictive performance of the original Johnson-Cook (JC), modified Johnson-Cook (M-JC), backpropagation neural network (BP), and genetic algorithm-optimized BP neural network (GABP) models was evaluated using the absolute average relative error (AARE) and correlation coefficient (R). The results show that the GABP model (AARE = 0.255%, R = 0.999) exhibits the highest predictive accuracy, followed by the BP model (AARE = 5.098%, R = 0.958), M-JC model (AARE = 8.383%, R = 0.945), and JC model (AARE = 9.230%, R = 0.930). During the upsetting process, two parabolic shear bands were observed. The region of the shear bands exhibited the highest degree of plastic deformation, with grains aligned in a strip-like distribution along the direction of the shear bands.