FCC金属中位错网络的无滑移倍增和复杂性

Sh. Akhondzadeh, Nicolas Bertin, Ryan B. Sills, Wei Cai
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引用次数: 8

摘要

在结晶固体的塑性变形过程中,复杂的位错线网络形成并演化。为了捕捉位错密度的演化,著名的晶体塑性理论假设:1)在主动滑移系统中,滑移驱动倍增;2)成对滑移系统的相互作用主导网络演化。在这项工作中,我们分析了超过100个离散位错动力学模拟(交叉滑移抑制)的大型数据库,我们的发现对这两个假设都提出了质疑。我们证明了在没有施加应力和没有塑性应变率的滑移系统中通常观察到位错倍增,我们将这种现象称为无滑移倍增。我们表明,虽然滑动结的形成为无滑移倍增提供了一种机制,但需要其他机制来解释共面相互作用的影响,以充分解释观察结果。与滑动系统之间二元反应形成的滑动结不同,这些新的倍增机制需要高阶反应,从而导致复杂的网络结构。虽然这些复杂的配置以前没有得到太多的关注,但它们占我们数据库中线相交的50%左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Slip-free multiplication and complexity of dislocation networks in FCC metals

Slip-free multiplication and complexity of dislocation networks in FCC metals

During plastic deformation of crystalline solids, intricate networks of dislocation lines form and evolve. To capture dislocation density evolution, prominent theories of crystal plasticity assume that 1) multiplication is driven by slip in active slip systems and 2) pair-wise slip system interactions dominate network evolution. In this work, we analyze a massive database of over 100 discrete dislocation dynamics simulations (with cross-slip suppressed), and our findings bring both of these assumptions into question. We demonstrate that dislocation multiplication is commonly observed on slip systems with no applied stress and no plastic strain rate, a phenomenon we refer to as slip-free multiplication. We show that while the formation of glissile junctions provides one mechanism for slip-free multiplication, additional mechanisms which account for the influence of coplanar interactions are needed to fully explain the observations. Unlike glissile junction formation which results from a binary reaction between a pair of slip systems, these new multiplication mechanisms require higher order reactions that lead to complex network configurations. While these complex configurations have not been given much attention previously, they account for about 50% of the line intersections in our database.

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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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