Experimental determination and thermodynamic optimization of Co-Al-V ternary system

IF 1.9 3区 材料科学 Q4 CHEMISTRY, PHYSICAL
Xinming Wang , Ying Ran , Zheng Peng , Guangjing Liao , Siqi Wang , Xuemei Ouyang , Yan Liu , Min Zhou , Fucheng Yin , Jingxian Hu
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引用次数: 0

Abstract

Novel Co-based superalloys, which possess superior high-temperature performance and oxidation resistance, have been extensively employed in high-temperature applications. Studying the phase relationships of Co-based alloys is crucial for their practical applications. The phase relationships in the isothermal section of the Co-Al-V ternary system at 1373 K (1100 °C) were experimentally determined by scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS) and X-ray diffraction (XRD). Nine three-phase regions were experimentally confirmed. On the basis of the previous data and the present experimental results, thermodynamic optimization of the Co-Al-V ternary system was conducted via the CALPHAD method. The calculated results are in good agreement with the experimental results, and a set of reasonable and self-consistent thermodynamic parameters has been obtained. These results provide a basis for the design of Co-based alloys and enrich the database of Co-based alloys.
Co-Al-V三元体系的实验测定及热力学优化
新型钴基高温合金具有优异的高温性能和抗氧化性能,在高温应用中得到了广泛的应用。研究钴基合金的相关系对其实际应用具有重要意义。采用扫描电子显微镜(SEM)、能谱仪(EDS)和x射线衍射仪(XRD)对1373 K(1100℃)温度下Co-Al-V三元体系等温截面的相关系进行了实验研究。实验证实了9个三相区。在前人数据和本实验结果的基础上,利用CALPHAD方法对Co-Al-V三元体系进行热力学优化。计算结果与实验结果吻合较好,得到了一组合理且自洽的热力学参数。这些结果为钴基合金的设计提供了依据,并丰富了钴基合金的数据库。
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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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