催化裂化金属中的交界形成率、停留时间和塑性流动速率

Yurui Zhang, Ryan B. Sills
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引用次数: 0

摘要

在金属塑性流动过程中,来自不同滑移面的滑移系统的位错碰撞形成交界。这些交界在位错网络中驻留一段时间后会断裂,从而释放出附着的位错线。在这项研究中,我们利用随机森林离散位错动力学模拟,量化了面心立方金属中所有结点类型的结点形成率和结点驻留时间与应力的函数关系。然后,我们将这些量与位错链长分布联系起来,发现位错链长分布呈现指数形式。这使我们能够量化平均结点强度和滑移系统相互作用系数。最后,利用链节长度模型,我们获得了基于物理学的系统流动规则,所有参数都是通过 DDD 模拟确定的。这里的见解为基于链节长度分布的塑性流动位错网络理论提供了前进的道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Junction formation rates, residence times, and the rate of plastic flow in FCC metals

During plastic flow in metals, dislocations from slip systems with different glide planes collide to form junctions. After being in-residence within the dislocation network for some period of time, these junctions then break, thereby liberating the attached dislocation lines. In this work we use random forest discrete dislocation dynamics simulations to quantify the junction formation rate and junction residence time as a function of stress for all junction types in face-centered cubic metals. We then relate these quantities to the dislocation link-length distribution, which is found to exhibit an exponential form. This enables us to quantify the mean junction strength and also the slip system interaction coefficients. Finally, using the link-length model we obtain a flow rule for our systems which is physics-based with all parameters determined from DDD simulations. The insights here provide a path forward for a dislocation network theory of plastic flow based on the link-length distribution.

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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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