IF 1.9 3区 材料科学 Q4 CHEMISTRY, PHYSICAL Calphad-computer Coupling of Phase Diagrams and Thermochemistry Pub Date : 2024-12-19 DOI:10.1016/j.calphad.2024.102792
Yan Wu , Yang Lv , Qiwen Lv , Zhenlin Huang , Tianhua Ju
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引用次数: 0

摘要

事实证明,使用米德玛模型结合外推法模型来计算合金成分之间的活性相互作用系数是一种可行的方法。然而,关于过量熵项对模型计算值的影响的详细研究却很有限。在本文中,我们通过将田中过量熵关系纳入米德玛模型与统一外推法模型(UEM)的框架内,研究了过量熵如何影响模型在各种合金溶液中的计算值。与实验值的比较显示了以下几点:(1) 对于含有气态元素的体系:在不考虑过量熵的情况下,预测值与实验数据更为吻合,但涉及氧气和某些非金属元素(C、B、N、O、S)的情况除外。(2) 对于含有非金属元素(如 C、Si)的系统:加入过量熵可显著提高与实验值的一致性。(3) 对于金属溶质系统:过量熵的影响很小,一般可以忽略。
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Effect of the excess entropy on the calculated activity interaction coefficient under the Miedema model and extrapolation method
Using the Miedema model combined with an extrapolation model to calculate activity interaction coefficients between alloy components has proven to be a viable approach. However, the influence of the excess entropy term on the model's calculated values has received limited detailed examination. In this paper, we investigate how excess entropy affects the model's calculated values in various alloy solutions by incorporating the Tanaka excess entropy relation within the framework of the Miedema model coupled with the Unified Extrapolation Model (UEM). A comparison with experimental values reveals the following: (1) For systems containing gaseous elements: predictions align better with experimental data when excess entropy is not considered, except in cases involving oxygen and some non-metallic elements (C, B, N, O, S). (2) For systems with non-metallic elements (e.g., C, Si): including excess entropy significantly improves alignment with experimental values. (3) For metallic solute systems: the effect of excess entropy is minimal and can generally be disregarded.
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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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