Interdiffusion behaviors and mechanical properties in Zr-Nb-Hf system

IF 1.9 3区 材料科学 Q4 CHEMISTRY, PHYSICAL
Liyang Fang , Jun Wang , Chenran Xu , Xiancong He , Guanglong Xu , Xiaoma Tao , Yifang Ouyang , Yong Du
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引用次数: 0

Abstract

The diffusion behavior and mechanical properties of the Zr-Nb-Hf system were analyzed using diffusion couple technology and nanoindentation techniques. The diffusion couples were annealed at 1523 K for 24 h, and the compositional profile of the diffusion region was determined using electron probe microanalysis. The main diffusion coefficients, cross-diffusion coefficients, and impurity diffusion coefficients were calculated using the Whittle and Green method, as well as the generalized Hall method. Furthermore, the hardness and Young's modulus of the alloy with different compositions were calculated by Oliver method, based on load-displacement curves obtained from nanoindentation tests. Additionally, the wear resistance and resistance to plastic deformation of the Zr-Nb-Hf alloys were inferred. These results contribute to the existing database of diffusion kinetics and mechanical properties in the Zr-Nb-Hf system, providing valuable references for the development of Zr-Nb-Hf-based alloys with exceptional properties.

Zr-Nb-Hf体系的相互扩散行为及力学性能
采用扩散偶技术和纳米压痕技术分析了Zr-Nb-Hf体系的扩散行为和力学性能。将扩散偶在1523 K下退火24 h,利用电子探针显微分析确定了扩散区的成分分布。主要扩散系数、交叉扩散系数和杂质扩散系数分别采用Whittle法和Green法以及广义Hall法计算。基于纳米压痕试验得到的载荷-位移曲线,采用奥利弗法计算了不同成分合金的硬度和杨氏模量。此外,还分析了Zr-Nb-Hf合金的耐磨性和抗塑性变形性能。这些结果有助于建立现有的Zr-Nb-Hf体系的扩散动力学和力学性能数据库,为开发具有优异性能的Zr-Nb-Hf基合金提供有价值的参考。
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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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