Mechanical and Thermodynamic Properties of γ-TiAl Using First-Principles Calculations

IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Mahfooz Alam, Appala Naidu Gandi
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引用次数: 0

Abstract

Abstract Temperature dependence of structural, mechanical, and thermodynamic properties of γ -TiAl is modeled using an extended quasi-harmonic approximation and first-principles calculations. In the first step, the volumes are estimated as a function of temperature following the quasi-harmonic approximation. The lattice parameters are further optimized at fixed volumes in the second step. Modeled mechanical properties (bulk modulus, shear modulus, Young’s modulus, Poisson’s ratio, and hardness) agree with the experimentally reported mechanical properties. Similarly, the modeled thermodynamic properties (entropy, heat capacity at constant pressure, Gibbs free energy) are in good agreement with the thermodynamic properties reported from experiments and CALculation of PHAse Diagrams approaches. This study suggests that further optimization of the degree of freedom in the unit cell improves the model accuracy of properties estimated following the quasi-harmonic approximation.
用第一性原理计算γ-TiAl的力学和热力学性质
利用扩展的准调和近似和第一性原理计算,对γ -TiAl的结构、力学和热力学性质的温度依赖性进行了建模。在第一步中,根据准调和近似估计体积作为温度的函数。第二步在固定体积下进一步优化晶格参数。模型力学性能(体积模量、剪切模量、杨氏模量、泊松比和硬度)与实验报告的力学性能一致。同样,模拟的热力学性质(熵、恒压热容、吉布斯自由能)与实验和相图计算方法报告的热力学性质很好地一致。该研究表明,进一步优化单元胞的自由度可以提高准谐波近似后估计的模型精度。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
96
审稿时长
1.7 months
期刊介绍: Serving the multidisciplinary materials community, the journal aims to publish new research work that advances the understanding and prediction of material behaviour at scales from atomistic to macroscopic through modelling and simulation. Subject coverage: Modelling and/or simulation across materials science that emphasizes fundamental materials issues advancing the understanding and prediction of material behaviour. Interdisciplinary research that tackles challenging and complex materials problems where the governing phenomena may span different scales of materials behaviour, with an emphasis on the development of quantitative approaches to explain and predict experimental observations. Material processing that advances the fundamental materials science and engineering underpinning the connection between processing and properties. Covering all classes of materials, and mechanical, microstructural, electronic, chemical, biological, and optical properties.
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