fcc相Ni-Fe-X （X=Mo， W）体系的扩散率和原子迁移率

IF 1.9 3区材料科学 Q4 CHEMISTRY, PHYSICAL

Calphad-computer Coupling of Phase Diagrams and Thermochemistry Pub Date : 2025-07-21 DOI:10.1016/j.calphad.2025.102857

Xinming Wang , Jia Liu , Jingxian Hu , Weimin Bai , Ying Ran , Fucheng Yin , Lebin Zhao , Jinhui Tang

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引用次数: 0

摘要

镍基高温合金具有优异的高温强度、抗氧化性和抗蠕变性。Mo、Fe和W是镍基高温合金中重要的γ相稳定元素。合金元素在fcc相Ni-Fe-X （X = Mo， W）合金中的扩散行为对ni基高温合金的组织演变和材料制备起着重要的作用。本文采用扩散偶技术和Whittle-Green法测定了fcc Ni-Fe-X （X = Mo， W）体系的扩散系数，并利用thermal -calc软件的DICTRA模块基于CALPHAD技术对其原子迁移率进行了评价。基于所评估的迁移率参数，进行了扩散系数的计算和扩散偶扩散过程的模拟，验证了参数的准确性。计算的扩散系数和预测的组分-距离分布及扩散路径与实验结果吻合较好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Diffusivities and atomic mobilities in the fcc phase Ni-Fe-X (X=Mo, W) system

Ni-based superalloys have excellent high-temperature strength, oxidation resistance and creep resistance. Mo, Fe and W are important γ phase stable elements in nickel-based superalloys. The diffusion behavior of alloying elements in fcc phase Ni-Fe-X (X = Mo, W) alloys plays an important role in the microstructure evolution and material fabrication of Ni-based superalloys. In this work, the diffusion coefficients of the fcc Ni-Fe-X (X = Mo, W) system were determined by using the diffusion couple technique and the Whittle-Green method, and the atomic mobilities were evaluated based on the CALPHAD technique with the DICTRA module of the Thermo-calc software. Based on the evaluated mobility parameters, the calculation of diffusion coefficients and simulation of the diffusion processes of the diffusion couples were carried out to verify the accuracy of the parameters. The calculated diffusion coefficients and predicted composition-distance profiles and diffusion paths show good agreement with the experimental results.

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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.