BCC富Ti Ti- zr - ta体系的扩散系数和力学性能研究

IF 1.9 3区 材料科学 Q4 CHEMISTRY, PHYSICAL
Yuwei Ning , Fali Liu , Xiaoma Tao , Guanglong Xu , Hongmei Chen , Yifang Ouyang , Yong Du
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引用次数: 0

摘要

本文采用扩散偶技术和纳米压痕相结合的方法,研究了Ti-Zr-Ta合金在1373 K退火26 h后的扩散行为和力学性能。扩散系数采用Whittle-Green法和广义Hall法测定,合金的杨氏模量和硬度采用纳米压痕法表征。结果表明,Zr的扩散速率明显高于Ta,且两种元素的扩散速率均表现出较强的浓度依赖性。力学试验结果表明,随着Ta含量的增加,合金的硬度和杨氏模量显著增加。相反,Zr含量对硬度和杨氏模量的影响相对有限。这些结果为进一步优化Ti-Zr-Ta合金的高温组织和力学性能提供了重要的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of diffusivities and mechanical properties in BCC Ti rich Ti-Zr-Ta system
In this work, a combination of diffusion couple technique and nanoindentation were employed to investigate the diffusion behaviors and mechanical properties of Ti-Zr-Ta alloys annealed at 1373 K for 26 h. The experiments focused on Ti-rich body-centered cubic (BCC) Ti-Zr-Ta ternary alloys. Diffusion coefficients were determined using the Whittle-Green and generalized Hall methods, while nanoindentation was utilized to characterize Young's modulus and hardness of the alloys. The results indicate that the diffusion rate of Zr is considerably higher than that of Ta, and the diffusion rate of both elements exhibits a strong dependence on concentration. The mechanical testing results demonstrate a significant increase in the hardness and Young's modulus of the alloy as the Ta content increases. In contrast, the Zr content shows a relatively limited effect on hardness and Young's modulus. These results provide an essential reference for further optimization of the microstructure and mechanical properties of Ti-Zr-Ta alloys at elevated temperatures.
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来源期刊
CiteScore
4.00
自引率
16.70%
发文量
94
审稿时长
2.5 months
期刊介绍: The design of industrial processes requires reliable thermodynamic data. CALPHAD (Computer Coupling of Phase Diagrams and Thermochemistry) aims to promote computational thermodynamics through development of models to represent thermodynamic properties for various phases which permit prediction of properties of multicomponent systems from those of binary and ternary subsystems, critical assessment of data and their incorporation into self-consistent databases, development of software to optimize and derive thermodynamic parameters and the development and use of databanks for calculations to improve understanding of various industrial and technological processes. This work is disseminated through the CALPHAD journal and its annual conference.
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