K.X. Yin , Y. Yiliti , S.T. Li , C.Y. Zhang , Y.K. Zhou , H.F. Zhang , Z.W. Zhu
{"title":"Beyond elemental intrinsic characteristics: ΔHmixB−F-driven solid solution phase structure modeling in HEAs","authors":"K.X. Yin , Y. Yiliti , S.T. Li , C.Y. Zhang , Y.K. Zhou , H.F. Zhang , Z.W. Zhu","doi":"10.1016/j.intermet.2025.108838","DOIUrl":null,"url":null,"abstract":"<div><div>This study introduces an innovative approach for predicting solid-solution phase structures in high-entropy alloys (HEAs) by integrating a thermodynamic mixing enthalpy difference parameter <span><math><mrow><mo>Δ</mo><msubsup><mi>H</mi><mtext>mix</mtext><mrow><mi>B</mi><mo>−</mo><mi>F</mi></mrow></msubsup></mrow></math></span>—quantifying inter-element interactions between BCC and FCC structures—with conventional descriptors representing elemental intrinsic properties, including valence electron concentration (VEC), atomic size mismatch (δ), and Gibbs free energy differences of pure elements in dual-phase configurations (<span><math><mrow><mo>Δ</mo><msub><mi>G</mi><mn>0</mn></msub></mrow></math></span>). This synergistic framework significantly enhances the predictive accuracy for solid solution phase structures in HEAs, achieving a classification consistency rate (CCR) of 94.9 % across 569 HEA systems through the combined VEC+ <span><math><mrow><mo>Δ</mo><msubsup><mi>H</mi><mtext>mix</mtext><mrow><mi>B</mi><mo>−</mo><mi>F</mi></mrow></msubsup></mrow></math></span> parameter. To validate the methodology, a series of unreported transition-metal-rich AlCoCrNiV-based HEAs were synthesized and systematically characterized via X-ray diffraction (XRD), field-emission scanning electron microscopy (FESEM) coupled with energy-dispersive spectroscopy (EDS), and transmission electron microscopy (TEM) with microchemical analysis. The experimental observations exhibit excellent agreement between the predicted phase constitutions and the observed structural features, demonstrating the reliability and practical applicability of the proposed strategy. This work establishes a robust foundation for rational HEA design and provides critical guidance for advancing predictive frameworks in multi-component alloy systems through the integration of thermodynamic principles and empirical descriptors.</div></div>","PeriodicalId":331,"journal":{"name":"Intermetallics","volume":"184 ","pages":"Article 108838"},"PeriodicalIF":4.3000,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intermetallics","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0966979525002031","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This study introduces an innovative approach for predicting solid-solution phase structures in high-entropy alloys (HEAs) by integrating a thermodynamic mixing enthalpy difference parameter —quantifying inter-element interactions between BCC and FCC structures—with conventional descriptors representing elemental intrinsic properties, including valence electron concentration (VEC), atomic size mismatch (δ), and Gibbs free energy differences of pure elements in dual-phase configurations (). This synergistic framework significantly enhances the predictive accuracy for solid solution phase structures in HEAs, achieving a classification consistency rate (CCR) of 94.9 % across 569 HEA systems through the combined VEC+ parameter. To validate the methodology, a series of unreported transition-metal-rich AlCoCrNiV-based HEAs were synthesized and systematically characterized via X-ray diffraction (XRD), field-emission scanning electron microscopy (FESEM) coupled with energy-dispersive spectroscopy (EDS), and transmission electron microscopy (TEM) with microchemical analysis. The experimental observations exhibit excellent agreement between the predicted phase constitutions and the observed structural features, demonstrating the reliability and practical applicability of the proposed strategy. This work establishes a robust foundation for rational HEA design and provides critical guidance for advancing predictive frameworks in multi-component alloy systems through the integration of thermodynamic principles and empirical descriptors.
期刊介绍:
This journal is a platform for publishing innovative research and overviews for advancing our understanding of the structure, property, and functionality of complex metallic alloys, including intermetallics, metallic glasses, and high entropy alloys.
The journal reports the science and engineering of metallic materials in the following aspects:
Theories and experiments which address the relationship between property and structure in all length scales.
Physical modeling and numerical simulations which provide a comprehensive understanding of experimental observations.
Stimulated methodologies to characterize the structure and chemistry of materials that correlate the properties.
Technological applications resulting from the understanding of property-structure relationship in materials.
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