CALPHAD-based modeling of pressure-dependent Al, Cu and Li unary systems

IF 1.9 3区 材料科学 Q4 CHEMISTRY, PHYSICAL
Elizabeth Mathew , Rupesh Chafle , Benjamin Klusemann
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引用次数: 0

Abstract

The study presents a pressure-dependent CALPHAD-based model for assessment of the Al, Cu and Li unary systems, focusing on phase changes under varying pressures. By incorporating the Murnaghan equation of state and ab initio phonon calculations, the thermal properties for stable and metastable phases are accurately predicted. To ensure a comprehensive representation of the system's response to pressure changes; compressibility, volumetric thermal expansion coefficient as a function of temperature, the derivative of bulk modulus with pressure, and molar volume for the condensed phases are integrated in the framework. The model provides essential insights into pressure-induced transformation, aiding in the understanding of solid-state processing, such as high-pressure torsion and extrusion. The results from this work are in excellent agreement with the experimental literature and can be utilized to enhance phase predictions under non-equilibrium conditions.

基于 CALPHAD 的压力依赖性铝、铜和锂单元系统建模
该研究提出了一种基于 CALPHAD 的压力依赖性模型,用于评估铝、铜和锂单原子体系,重点关注不同压力下的相变。通过结合 Murnaghan 状态方程和 ab initio 声子计算,准确预测了稳定相和蜕变相的热特性。为确保全面反映系统对压力变化的响应,该框架还整合了可压缩性、体积热膨胀系数与温度的函数关系、体模量随压力的导数以及凝聚相的摩尔体积。该模型提供了有关压力诱导转化的重要见解,有助于理解固态加工,如高压扭转和挤压。这项工作的结果与实验文献非常吻合,可用于加强非平衡条件下的相预测。
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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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