Third generation Calphad: Thermodynamic assessment of the Ni-Ga system with physics-based models

IF 1.9 3区 材料科学 Q4 CHEMISTRY, PHYSICAL
Liangyan Hao , Chen Shen , Nuno M. Fortunato , Hongbing Zhang , Wei Xiong
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引用次数: 0

Abstract

Prediction of phase equilibria, phase stability, and thermodynamic properties is crucial in materials science. The second generation Calphad (CALculation of PHAse Diagrams) method faces challenges at low temperatures and in magnetic property predictions. To address these issues, the third generation Calphad is being developed, but its application has been limited primarily to unary systems, i.e., pure elements. Here we show the successful optimization of the Ni-Ga system, characterized by low melting point of Ga, magnetism of Ni, and ordered phases, using third generation thermodynamic models. We calculated the magnetic properties of fcc and bcc solution phases using Density Functional Theory (DFT) and fitted them with an improved magnetic model. Ordered phases were described using a four-sublattice model. The resulting parameters accurately reproduce experimental phase diagrams and thermochemical properties. This study demonstrates the successful application of the Equal Entropy Criteria (EEC) in a system where the constituent elements show quite different melting points. This work establishes a foundation for applying third generation Calphad to complex alloy systems, potentially enhancing the accuracy of material design and thus accelerating new materials development.
第三代 Calphad:利用物理模型对镍镓系统进行热力学评估
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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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