Diffusion study between NiCrFe alloy and high entropy alloys

IF 1.9 3区材料科学 Q4 CHEMISTRY, PHYSICAL

Calphad-computer Coupling of Phase Diagrams and Thermochemistry Pub Date : 2025-09-26 DOI:10.1016/j.calphad.2025.102882

Juan Chen , Zhanqi E , Na Ta , Jinkun Xiao , Lijun Zhang

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引用次数: 0

Abstract

The diffusion couples composed of NiCrFe (Ni-21 at% Cr-9 at% Fe) alloy and three kinds of high entropy alloys (CoCrFeMn_0.2Ni, Al_xCoCrFeNi (x = 0.2 or 0.3), and CoCrCu_0.2FeNi HEAs) were fabricated, and subjected to diffusion annealing at 1273, 1323, and 1373 K, respectively. The interdiffusion coefficients were calculated using electron probe technology and High-throughput Determination of Interdiffusion Coefficients (HitDIC) software, and their reliability was validated. The interdiffusion coefficients increase as the temperature increase. The diffusion coefficients of Mn, Al, and Cu atoms on HEAs side in all diffusion couples are higher than those of Fe, Co, and Ni in the corresponding diffusion couples, and Al has the lower diffusion coefficient than Co, Cr, and Fe on NiCrFe side in Al_xCoCrFeNi/NiCrFe diffusion couples. Furthermore, based on the interdiffusion coefficients at three different temperatures, the diffusion activation energies of atoms were also analyzed.

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NiCrFe合金与高熵合金间的扩散研究

制备了由NiCrFe （Ni-21 at% Cr-9 at% Fe）合金和3种高熵合金（CoCrFeMn0.2Ni、AlxCoCrFeNi （x = 0.2或0.3）和CoCrCu0.2FeNi HEAs）组成的扩散偶，分别在1273、1323和1373 K下进行扩散退火。采用电子探针技术和HitDIC软件计算相互扩散系数，验证了计算结果的可靠性。随着温度的升高，相互扩散系数增大。在所有扩散偶中，Mn、Al和Cu原子在HEAs侧的扩散系数均高于相应扩散偶中Fe、Co和Ni原子的扩散系数，而在AlxCoCrFeNi/NiCrFe扩散偶中，Al原子在NiCrFe侧的扩散系数低于Co、Cr和Fe原子。根据三种不同温度下的相互扩散系数，分析了原子的扩散活化能。

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来源期刊

Calphad-computer Coupling of Phase Diagrams and Thermochemistry 化学-热力学

CiteScore

4.00

自引率

16.70%

发文量

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.