晶体中位错与沉淀物的相互作用:从 BKS 模型到集体位错动力学

Lasse Laurson, Mikko J. Alava
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引用次数: 0

摘要

由于位错运动障碍物(如沉淀物)的存在而导致屈服应力增加是一种多尺度现象。当单个位错遇到沉淀物时,纳米尺度上的细节对宏观尺度上的塑性起着重要作用。培根、考克斯和斯卡特古德(BKS)在 20 世纪 70 年代初对这一现象进行了经典分析,随后又进行了大量工作,既发展了这一理论,又将其应用于实际实验和对其的理解。除了微观细节之外,在微米尺度上,屈服和屈服应力的物理机制取决于两种机制:位错与沉淀物之间的相互作用,以及体积中整个位错集合的集体动力学。在这篇综述中,我们将结合最近的研究,包括大规模离散位错动力学模拟、统计物理学思想和机器学习的发展,讨论沉淀硬化晶体中的 BKS 关系和集体位错动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dislocation-precipitate interactions in crystals: from the BKS model to collective dislocation dynamics

The increase in the yield stress due to the presence of obstacles to dislocation motion such as precipitates is a multiscale phenomenon. The details on the nanoscale when an individual dislocation runs into a precipitate play an important role in determining plasticity on a macroscopic scale. The classical analysis of this phenomenon is due to Bacon, Kocks and Scattergood (BKS) from early 1970’s and has been followed by a large body of work both developing the theory and applying it to real experiments and their understanding. Beyond the microscopic details the next level of complexity is met in the micrometer scale when the physics of the yielding and the yield stress depend on two mechanisms: the dislocation-precipitate interaction, and the collective dynamics of the whole ensemble of dislocations in the volume. In this review we discuss the BKS relation and collective dislocation dynamics in precipitation-hardened crystals in the light of recent research, including large-scale discrete dislocation dynamics simulations, statistical physics ideas, and machine learning developments.

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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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