Pinning of dislocations in disordered alloys: effects of dislocation orientation

Michael Zaiser, Ronghai Wu
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引用次数: 4

Abstract

The current interest in compositionally complex alloys including so called high entropy alloys has caused renewed interest in the general problem of solute hardening. It has been suggested that this problem can be addressed by treating the alloy as an effective medium containing a random distribution of dilatation and compression centers representing the volumetric misfit of atoms of different species. The mean square stresses arising from such a random distribution can be calculated analytically, their spatial correlations are strongly anisotropic and exhibit long-range tails with third-order power law decay (Geslin and Rodney 2021; Geslin et al. 2021). Here we discuss implications of the anisotropic and long-range nature of the correlation functions for the pinning of dislocations of arbitrary orientation. While edge dislocations are found to follow the standard pinning paradigm, for dislocations of near screw orientation we demonstrate the co-existence of two types of pinning energy minima.

无序合金中位错的钉住:位错取向的影响
目前对成分复杂的合金(包括所谓的高熵合金)的兴趣引起了对溶质硬化这一普遍问题的重新关注。有人建议,这个问题可以通过把合金当作一种有效的介质来解决,这种介质中含有随机分布的膨胀和压缩中心,代表不同种类的原子的体积失配。这种随机分布产生的均方应力可以解析计算,它们的空间相关性是强各向异性的,并表现出具有三阶幂律衰减的长尾(Geslin和Rodney 2021;Geslin et al. 2021)。本文讨论了相关函数的各向异性和长程性质对任意取向位错固定的影响。虽然发现边缘位错遵循标准钉钉范式,但对于近螺旋取向的位错,我们证明了两种类型的钉钉能量最小值共存。
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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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