Dynamics of grain boundary motion coupled to shear deformation: An analytical model and its verification by molecular dynamics

分子动力学 打滑(空气动力学) 动力学(音乐) 物理 机械 剪切(地质) 材料科学 变形(气象学) 剪应力 经典力学 热力学 气象学 复合材料 声学 量子力学
作者
V.A. Ivanov,Y. Mishin
出处
期刊:Physical Review B [American Physical Society]
卷期号:78 (6) 被引量:145
标识
DOI:10.1103/physrevb.78.064106
摘要

Many atomically ordered grain boundaries (GBs) couple to applied mechanical stresses and are moved by them, producing shear deformation of the lattice they traverse. This process does not require atomic diffusion and can be implemented at low temperatures by deformation and rotation of structural units. This so-called coupled GB motion occurs by increments and can exhibit dynamics similar to the stick-slip behavior known in atomic friction. We explore possible dynamic regimes of coupled GB motion by two methods. First, we analyze a simple one-dimensional model in which the GB is mimicked by a particle attached to an elastic rod and dragged through a periodic potential. Second, we apply molecular dynamics (MD) with an embedded-atom potential for Al to simulate coupled motion of a particular tilt GB at different temperatures and velocities. The stress-velocity-temperature relationships established by both methods are qualitatively similar and indicate highly nonlinear dynamics at low temperatures and/or large velocities. At high temperatures and/or slow velocities, the character of the GB motion changes from stick slip to driven random walk and the stress-velocity relation becomes approximately linear. The MD simulations also reveal multiple GB jumps due to dynamic correlations at high velocities, and a transition from coupling to sliding at high temperatures.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
英勇的香之完成签到,获得积分10
1秒前
2秒前
2秒前
傅荣轩完成签到,获得积分10
2秒前
3秒前
3秒前
3秒前
chengli完成签到,获得积分10
4秒前
Ohh完成签到,获得积分10
4秒前
4秒前
4秒前
Lucas应助负责的归尘采纳,获得10
5秒前
Bin完成签到,获得积分10
5秒前
5秒前
5秒前
5秒前
6秒前
6秒前
无辜群众发布了新的文献求助10
6秒前
7秒前
orixero应助CC采纳,获得10
7秒前
xxz666完成签到,获得积分10
7秒前
张欢馨应助岚岚采纳,获得10
7秒前
疯狂的ucaser完成签到,获得积分10
7秒前
A班袁湘琴发布了新的文献求助10
8秒前
Rui_Rui发布了新的文献求助10
8秒前
sophia完成签到,获得积分10
9秒前
9秒前
10秒前
10秒前
yzy应助周周采纳,获得10
11秒前
斯文的白玉应助Wendy采纳,获得10
11秒前
六六发布了新的文献求助10
11秒前
11秒前
坚强的亦云完成签到,获得积分10
11秒前
xuan发布了新的文献求助10
13秒前
共享精神应助carbon采纳,获得10
13秒前
皮皮发布了新的文献求助10
14秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7582679
求助须知:如何正确求助?哪些是违规求助? 9161608
关于积分的说明 19604096
捐赠科研通 7164899
什么是DOI,文献DOI怎么找? 3266181
关于科研通互助平台的介绍 2431110
邀请新用户注册赠送积分活动 2257468