用CALPHAD法计算Fe-Al-Ni合金的导热系数

IF 1.9 3区 材料科学 Q4 CHEMISTRY, PHYSICAL
Xi Li , Minsi Liao , Chong Chen , Cong Zhang , Shizhong Wei
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引用次数: 0

摘要

Fe-Al-Ni合金因其良好的散热特性而广泛应用于电子器件的热管理系统和电磁元件的生产中。本文采用相图计算(CALPHAD)方法对Fe-Al-Ni体系的导热性进行了评价。用Redlich-Kister相互作用参数描述了固溶体的导热系数。对于处于两相区域的合金,在模型中引入了界面热阻参数,以反映界面的传热阻抗。对纯元素体系、二元体系和三元体系的相应参数进行了优化,使模型与实验数据具有较好的一致性。该工作有助于预测工业生产过程中Fe-Al-Ni合金体系的导热系数,并为微观组织和加工模拟提供关键的热物理性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermal conductivity calculation of Fe-Al-Ni alloys by CALPHAD method
The Fe-Al-Ni alloys are widely used in the thermal management systems of electronic devices and the production of electromagnetic components because of their high heat dissipation characteristics. In this work, the thermal conductivity of the Fe-Al-Ni system was evaluated by means of CALPHAD (CALculation of PHAse Diagrams) method. The thermal conductivity of solid solutions was described using Redlich-Kister interaction parameters. For alloys in a two-phase region, an interface thermal resistance parameter was introduced into the model to account for the impedance of interfaces on heat transfer. The corresponding parameters for the pure element, binary and ternary systems were optimized, which enables the modeling exhibit good consistency with the experimental data. This work is helpful for predicting the thermal conductivity of Fe-Al-Ni alloys system during the industrial production process and provide key thermophysical properties for microstructure and processing simulations.
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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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