密集固溶体中位错的长度尺度和无标度动力学

Gábor Péterffy, Péter D. Ispánovity, Michael E. Foster, Xiaowang Zhou, Ryan B. Sills
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引用次数: 12

摘要

通过分析Fe0.70Ni0.11Cr0.19在不同应力和温度下的分子动力学模拟得到的位错线粗糙度分布,研究了位错与随机固溶体之间的基本相互作用。这些粗糙剖面揭示了蜕皮转变的标志性特征。也就是说,在温度相关的临界应力下,位错线在两种不同的长度范围内表现出粗糙度,这两种长度范围由所谓的相关长度划分。这种相关长度随着外加应力的增加而增加,并在临界应力(脱屑过渡或屈服应力)处趋于无穷大。在临界应力以上,直线粗糙度曲线收敛于随机噪声场的粗糙度曲线。基于这些结果,基于相关长度以下的所有长度尺度上的相干线弯曲的概念,开发了一个物理模型。在相关长度以上,溶质场禁止这种相干线弓出。利用该模型,我们确定了现有的固溶体强化理论中的潜在空白,并表明最近对长度相关位错迁移率的观察可以合理化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Length scales and scale-free dynamics of dislocations in dense solid solutions

Length scales and scale-free dynamics of dislocations in dense solid solutions

The fundamental interactions between an edge dislocation and a random solid solution are studied by analyzing dislocation line roughness profiles obtained from molecular dynamics simulations of Fe0.70Ni0.11Cr0.19 over a range of stresses and temperatures. These roughness profiles reveal the hallmark features of a depinning transition. Namely, below a temperature-dependent critical stress, the dislocation line exhibits roughness in two different length scale regimes which are divided by a so-called correlation length. This correlation length increases with applied stress and at the critical stress (depinning transition or yield stress) formally goes to infinity. Above the critical stress, the line roughness profile converges to that of a random noise field. Motivated by these results, a physical model is developed based on the notion of coherent line bowing over all length scales below the correlation length. Above the correlation length, the solute field prohibits such coherent line bow outs. Using this model, we identify potential gaps in existing theories of solid solution strengthening and show that recent observations of length-dependent dislocation mobilities can be rationalized.

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期刊介绍: Journal of Materials Science: Materials Theory publishes all areas of theoretical materials science and related computational methods. The scope covers mechanical, physical and chemical problems in metals and alloys, ceramics, polymers, functional and biological materials at all scales and addresses the structure, synthesis and properties of materials. Proposing novel theoretical concepts, models, and/or mathematical and computational formalisms to advance state-of-the-art technology is critical for submission to the Journal of Materials Science: Materials Theory. The journal highly encourages contributions focusing on data-driven research, materials informatics, and the integration of theory and data analysis as new ways to predict, design, and conceptualize materials behavior.
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