Chengyang Ma , Shao-Yang Wang , Weisen Zheng , Jingya Wang , Huarui Cao , Xiao-Gang Lu
{"title":"Thermodynamic modeling of the Mg-Zn-Nd system and its application to solidification","authors":"Chengyang Ma , Shao-Yang Wang , Weisen Zheng , Jingya Wang , Huarui Cao , Xiao-Gang Lu","doi":"10.1016/j.calphad.2025.102820","DOIUrl":null,"url":null,"abstract":"<div><div>The excellent thermal conductivity and mechanical properties of Mg-Zn-Nd alloys are closely linked to the formation of intermetallic compounds and the solubility in the αMg matrix after their formation. However, recent experimental findings on new ternary compounds highlight gaps in the understanding of the phase equilibrium relationships, which complicates design of advanced Mg-Zn-Nd alloys. To address this, all the experimental phase equilibrium data available in the literature were critically evaluated. Thermodynamic modeling of the Mg-Zn-Nd system was performed based on the selected reliable experimental data and updated binary thermodynamic descriptions. The seven ternary compounds (τ1 to τ6 and (Mg,Zn)<sub>12</sub>Nd) in the Mg-Zn-Nd system were modeled using compound energy formalism (CEF), particularly considering the consistency between their homogeneity range and crystallographic sublattices. The thermodynamic model parameters optimized in this study satisfactorily reproduced the isothermal sections, isoplethal sections, and liquidus projections. Combined with the Scheil–Gulliver model, the solidification behavior of Mg-Zn-Nd alloys was predicted. The predicted results were consistent with the experimental data, further demonstrating the reliability and practical applicability of the thermodynamic description developed in this study.</div></div>","PeriodicalId":9436,"journal":{"name":"Calphad-computer Coupling of Phase Diagrams and Thermochemistry","volume":"89 ","pages":"Article 102820"},"PeriodicalIF":1.9000,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Calphad-computer Coupling of Phase Diagrams and Thermochemistry","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0364591625000239","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The excellent thermal conductivity and mechanical properties of Mg-Zn-Nd alloys are closely linked to the formation of intermetallic compounds and the solubility in the αMg matrix after their formation. However, recent experimental findings on new ternary compounds highlight gaps in the understanding of the phase equilibrium relationships, which complicates design of advanced Mg-Zn-Nd alloys. To address this, all the experimental phase equilibrium data available in the literature were critically evaluated. Thermodynamic modeling of the Mg-Zn-Nd system was performed based on the selected reliable experimental data and updated binary thermodynamic descriptions. The seven ternary compounds (τ1 to τ6 and (Mg,Zn)12Nd) in the Mg-Zn-Nd system were modeled using compound energy formalism (CEF), particularly considering the consistency between their homogeneity range and crystallographic sublattices. The thermodynamic model parameters optimized in this study satisfactorily reproduced the isothermal sections, isoplethal sections, and liquidus projections. Combined with the Scheil–Gulliver model, the solidification behavior of Mg-Zn-Nd alloys was predicted. The predicted results were consistent with the experimental data, further demonstrating the reliability and practical applicability of the thermodynamic description developed in this study.
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.