High throughput determination of diffusion coefficients and hardness using diffusion couple technique of γ-phase Fe-Ni-Cu alloys at 1000 °C

IF 1.9 3区材料科学 Q4 CHEMISTRY, PHYSICAL

Calphad-computer Coupling of Phase Diagrams and Thermochemistry Pub Date : 2025-03-04 DOI:10.1016/j.calphad.2025.102809

Susanta Kumar Nayak, Kaustubh N. Kulkarni

{"title":"High throughput determination of diffusion coefficients and hardness using diffusion couple technique of γ-phase Fe-Ni-Cu alloys at 1000 °C","authors":"Susanta Kumar Nayak, Kaustubh N. Kulkarni","doi":"10.1016/j.calphad.2025.102809","DOIUrl":null,"url":null,"abstract":"<div><div>A high-throughput method was employed for γ-phase Fe-Ni-Cu alloy system. In this study solute and intrinsic diffusivities are determined from interdiffusion coefficients, alongside determining nano-indent hardness from diffusion couple experiments. This could be an important study to obtain various diffusivities and hardness-composition relationship with minimum experiments. Analysis of inter and intrinsic diffusion coefficients, along with thermodynamic factors, revealed significant diffusional interactions among the alloy elements. In addition, it has been shown that Cu is the slowest diffusing species, and the solute diffusivities alone cannot be used as criterion for determining the kinetics of alloying elements. The diffusion interactions in inter and intrinsic diffusion need not to be similar but interdiffusion coefficients are more convenient in practical uses. A high-throughput hardness-composition relations were developed, which illustrate the applicability of diffusion couples to enable high throughput determination of various properties as functions of compositions.</div></div>","PeriodicalId":9436,"journal":{"name":"Calphad-computer Coupling of Phase Diagrams and Thermochemistry","volume":"89 ","pages":"Article 102809"},"PeriodicalIF":1.9000,"publicationDate":"2025-03-04","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/S0364591625000124","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

A high-throughput method was employed for γ-phase Fe-Ni-Cu alloy system. In this study solute and intrinsic diffusivities are determined from interdiffusion coefficients, alongside determining nano-indent hardness from diffusion couple experiments. This could be an important study to obtain various diffusivities and hardness-composition relationship with minimum experiments. Analysis of inter and intrinsic diffusion coefficients, along with thermodynamic factors, revealed significant diffusional interactions among the alloy elements. In addition, it has been shown that Cu is the slowest diffusing species, and the solute diffusivities alone cannot be used as criterion for determining the kinetics of alloying elements. The diffusion interactions in inter and intrinsic diffusion need not to be similar but interdiffusion coefficients are more convenient in practical uses. A high-throughput hardness-composition relations were developed, which illustrate the applicability of diffusion couples to enable high throughput determination of various properties as functions of compositions.

查看原文本刊更多论文

γ相Fe-Ni-Cu合金1000℃时的高通量扩散系数和硬度测定

采用高通量法测定γ相Fe-Ni-Cu合金体系。在本研究中，溶质和本征扩散系数由扩散系数确定，并通过扩散偶实验确定纳米压痕硬度。这对于用最少的实验获得各种扩散系数和硬度-成分关系具有重要意义。内部扩散系数和本征扩散系数的分析，以及热力学因素，揭示了合金元素之间显著的扩散相互作用。此外，Cu是扩散最慢的一种，溶质扩散系数不能单独作为确定合金元素动力学的标准。内部扩散和本征扩散中的扩散相互作用不必相似，但在实际应用中使用间扩散系数更方便。建立了高通量硬度-成分关系，说明了扩散偶的适用性，可以高通量测定各种性能作为成分的函数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Calphad-computer Coupling of Phase Diagrams and Thermochemistry 化学-热力学

CiteScore

4.00

自引率

16.70%

发文量

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.