An energetic link between order and strength in metals: A nanocrystalline strength limit in high-entropy alloys and intermetallic compounds

IF 9.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Acta Materialia Pub Date : 2025-05-15 Epub Date: 2025-03-28 DOI:10.1016/j.actamat.2025.120990
Nicolas Argibay , Duane D. Johnson , Michael Chandross , Ryan T. Ott , Hailong Huang , Rameshwari Naorem , Gaoyuan Ouyang , Andrey V. Smirnov , Prashant Singh
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Abstract

The metallurgy and materials communities have long understood and exploited fundamental links between chemical and structural ordering in metallic solids to tailor their mechanical properties. We extend these ideas to include prediction of the nanocrystalline strength limit in high-entropy alloys and intermetallic compounds, where a breakdown occurs in the classical Hall-Petch strengthening behavior. The highest reported strength achievable through alloying has rapidly climbed and given rise to new classifications of materials with extraordinary properties, with a notable case being nanocrystalline metals. High-entropy alloys (chemically disordered, concentrated solid solutions) and intermetallic compounds are two boundary cases of how tailored order can be used to manipulate mechanical behavior. Here, we show that the complex electronic-structure mechanisms governing the peak strength of alloys and pure metals can be reduced to a few physically meaningful parameters based on their atomic arrangements and used – with no fitting parameters – to predict the maximum strength of these materials. This includes a generalized energy-based accounting for the degree of structural and chemical ordering that allows for rapid and reasonably accurate prediction of peak strength (validated in the nanocrystalline limit) as a function of temperature. Predictions of maximum strength based on the activation energy (with all materials properties derived from DFT calculations or experiments) for a stress-driven transition to an amorphous state is shown to accurately describe the breakdown in Hall-Petch behavior at the smallest crystallite sizes for pure metals, intermetallic compounds, high-entropy alloys, and metallic glasses. This activation energy is also shown to be directly proportional to interstitial electronic charge density, which is a good predictor of ductility, stiffness (moduli), and phase stability in high-entropy alloys and solid metals generally. The proposed framework suggests the possibility of coupling ordering and intrinsic strength to mechanisms like dislocation nucleation, hydrogen embrittlement, and transport properties, such as through correlations between the activation energies for amorphization with stacking-fault and grain boundary energies. It additionally opens the prospect for greatly accelerated structural materials design and development to address materials challenges limiting more sustainable and efficient use of energy.

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金属中有序与强度之间的能量联系:高熵合金和金属间化合物的纳米晶强度极限
长期以来,冶金和材料界一直了解并利用金属固体中化学和结构有序之间的基本联系来定制其机械性能。我们将这些想法扩展到包括高熵合金和金属间化合物的纳米晶强度极限的预测,其中击穿发生在经典的霍尔-佩奇强化行为中。据报道,通过合金化可以达到的最高强度已经迅速攀升,并产生了具有非凡性能的新材料分类,其中一个值得注意的例子是纳米晶体金属。高熵合金(化学无序,集中的固溶体)和金属间化合物是定制有序如何被用来操纵机械行为的两个边界案例。在这里,我们表明控制合金和纯金属峰值强度的复杂电子结构机制可以根据它们的原子排列简化为几个物理上有意义的参数,并使用-没有拟合参数-来预测这些材料的最大强度。这包括一种基于广义能量的结构和化学有序程度的计算,它允许快速和合理准确地预测峰值强度(在纳米晶体极限中验证)作为温度的函数。基于活化能(所有材料性质均来自DFT计算或实验)对应力驱动过渡到非晶态的最大强度预测可以准确描述纯金属、金属间化合物、高熵合金和金属玻璃在最小晶粒尺寸下的Hall-Petch行为击穿。该活化能也被证明与间隙电子电荷密度成正比,这是高熵合金和固体金属的延展性、刚度(模量)和相稳定性的一个很好的预测指标。所提出的框架表明,通过非晶化活化能与叠层错误和晶界能之间的相关性,序和内在强度可能与位错成核、氢脆和输运性质等机制耦合。它还为大大加速结构材料的设计和开发开辟了前景,以解决限制更可持续和有效利用能源的材料挑战。
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来源期刊
Acta Materialia
Acta Materialia 工程技术-材料科学:综合
CiteScore
16.10
自引率
8.50%
发文量
801
审稿时长
53 days
期刊介绍: Acta Materialia serves as a platform for publishing full-length, original papers and commissioned overviews that contribute to a profound understanding of the correlation between the processing, structure, and properties of inorganic materials. The journal seeks papers with high impact potential or those that significantly propel the field forward. The scope includes the atomic and molecular arrangements, chemical and electronic structures, and microstructure of materials, focusing on their mechanical or functional behavior across all length scales, including nanostructures.
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