Fali Liu , Hongyu Zhang , Zhiqiang Yu , Zhe Yuan , Weimin Bai , Ligang Zhang , Libin Liu
{"title":"BCC_B2相在Ni-Ti-Fe三元体系中的扩散行为","authors":"Fali Liu , Hongyu Zhang , Zhiqiang Yu , Zhe Yuan , Weimin Bai , Ligang Zhang , Libin Liu","doi":"10.1016/j.calphad.2025.102890","DOIUrl":null,"url":null,"abstract":"<div><div>High-throughput determination of the diffusion coefficients in the BCC_B2 phase of Ni-Ti-Fe shape memory alloys provides essential input parameters for multiphysics simulations, such as phase-field modeling, DICTRA simulations, and ICME-guided alloy design. In this study, 11 sets of diffusion couples were prepared and annealed at 1223 K, 1273 K, and 1323 K for 60 h,48 h, and 36 h, respectively. Composition-distance profiles at the diffusion interfaces were measured by Electron Probe Microanalysis. Interdiffusion coefficients were extracted via numerical inverse method, and the results were compared with those obtained by the traditional high-accuracy Matano–Kirkaldy method. The results of the two methods show strong consistency. Both composition-dependent and distance-dependent interdiffusion coefficients were established. Furthermore, the composition-dependent variations of the frequency factor and activation energy was evaluated based on the Arrhenius equation. These results offer a comprehensive insight into the diffusion behavior of the Ni-Ti-Fe system, providing critical data for kinetic modeling and alloy optimization.</div></div>","PeriodicalId":9436,"journal":{"name":"Calphad-computer Coupling of Phase Diagrams and Thermochemistry","volume":"91 ","pages":"Article 102890"},"PeriodicalIF":1.9000,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diffusion behaviors of BCC_B2 phase in Ni-Ti-Fe ternary system\",\"authors\":\"Fali Liu , Hongyu Zhang , Zhiqiang Yu , Zhe Yuan , Weimin Bai , Ligang Zhang , Libin Liu\",\"doi\":\"10.1016/j.calphad.2025.102890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>High-throughput determination of the diffusion coefficients in the BCC_B2 phase of Ni-Ti-Fe shape memory alloys provides essential input parameters for multiphysics simulations, such as phase-field modeling, DICTRA simulations, and ICME-guided alloy design. In this study, 11 sets of diffusion couples were prepared and annealed at 1223 K, 1273 K, and 1323 K for 60 h,48 h, and 36 h, respectively. Composition-distance profiles at the diffusion interfaces were measured by Electron Probe Microanalysis. Interdiffusion coefficients were extracted via numerical inverse method, and the results were compared with those obtained by the traditional high-accuracy Matano–Kirkaldy method. The results of the two methods show strong consistency. Both composition-dependent and distance-dependent interdiffusion coefficients were established. Furthermore, the composition-dependent variations of the frequency factor and activation energy was evaluated based on the Arrhenius equation. These results offer a comprehensive insight into the diffusion behavior of the Ni-Ti-Fe system, providing critical data for kinetic modeling and alloy optimization.</div></div>\",\"PeriodicalId\":9436,\"journal\":{\"name\":\"Calphad-computer Coupling of Phase Diagrams and Thermochemistry\",\"volume\":\"91 \",\"pages\":\"Article 102890\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-10-18\",\"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/S0364591625000938\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Calphad-computer Coupling of Phase Diagrams and Thermochemistry","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0364591625000938","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}
Diffusion behaviors of BCC_B2 phase in Ni-Ti-Fe ternary system
High-throughput determination of the diffusion coefficients in the BCC_B2 phase of Ni-Ti-Fe shape memory alloys provides essential input parameters for multiphysics simulations, such as phase-field modeling, DICTRA simulations, and ICME-guided alloy design. In this study, 11 sets of diffusion couples were prepared and annealed at 1223 K, 1273 K, and 1323 K for 60 h,48 h, and 36 h, respectively. Composition-distance profiles at the diffusion interfaces were measured by Electron Probe Microanalysis. Interdiffusion coefficients were extracted via numerical inverse method, and the results were compared with those obtained by the traditional high-accuracy Matano–Kirkaldy method. The results of the two methods show strong consistency. Both composition-dependent and distance-dependent interdiffusion coefficients were established. Furthermore, the composition-dependent variations of the frequency factor and activation energy was evaluated based on the Arrhenius equation. These results offer a comprehensive insight into the diffusion behavior of the Ni-Ti-Fe system, providing critical data for kinetic modeling and alloy optimization.
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.