Atomistic-Scale Simulations on Grain Boundary Migration Mechanisms Involved in Metals and Alloys: A Critical Review

IF 9.7 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Nitin Kishore Rawat, Naman Jain, Abhishek Kumar Mishra, Akarsh Verma
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Abstract

The mechanical properties of a material are affected by the kinetics and thermodynamics of the grain boundaries (GBs) present in their domain. Various research works, both experimental and simulation-based, have been undertaken to explore the relation between GBs and mechanical characteristics of materials, however, the underlying mechanism of GB growth or migration is still not well understood and requires additional research. Experimentally, the tracking of micro-evolution in GBs is a challenging task and to resolve this, atomistic-scale based molecular dynamics (MD) based simulations have emerged as a prominent tool for investigating the structure, kinetics, and thermal behaviour of GBs. Here in, the authors present a comprehensive overview of the research conducted on GB migration using MD based simulations. First, we discussed the various driving force (DF) methods utilised in MD simulations to cause GB migration. This includes artificial DF, curvature driven method, elastic DF, thermal gradient DF, Peach-Koehler DF method and random walk method. The concepts and underlying principles of each approach are then unveiled in detail. Next, a thorough examination of the principal discoveries of prior works conducted based on these approaches is showcased. The influence of grain boundary (GB) energy, faceted structure, grain growth, the type of driving force applied, temperature, and other relevant parameters has been thoroughly analyzed. The advantages and limitations of various approaches for studying GB migration are also pondered over. Finally, a summary of methods is given in conjunction with potential future directions.

Abstract Image

金属和合金晶界迁移机制的原子尺度模拟:综述
材料的力学性能受晶界(GBs)的动力学和热力学的影响。人们已经开展了各种实验和模拟研究工作来探索GB与材料力学特性之间的关系,然而,GB生长或迁移的潜在机制仍未得到很好的理解,需要进一步的研究。在实验上,追踪GBs的微观进化是一项具有挑战性的任务,为了解决这个问题,基于原子尺度的分子动力学(MD)模拟已经成为研究GBs结构、动力学和热行为的重要工具。在本文中,作者全面概述了使用基于MD的模拟对GB迁移进行的研究。首先,我们讨论了MD模拟中用于导致GB迁移的各种驱动力(DF)方法。这包括人工DF法、曲率驱动法、弹性DF法、热梯度DF法、Peach-Koehler DF法和随机游走法。然后详细揭示每种方法的概念和基本原则。接下来,展示了基于这些方法进行的先前工作的主要发现的彻底检查。深入分析了晶界能(GB)、面形结构、晶粒长大、施加驱动力类型、温度等相关参数的影响。本文还对研究GB迁移的各种方法的优缺点进行了思考。最后,结合潜在的未来发展方向对方法进行了总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
19.80
自引率
4.10%
发文量
153
审稿时长
>12 weeks
期刊介绍: Archives of Computational Methods in Engineering Aim and Scope: Archives of Computational Methods in Engineering serves as an active forum for disseminating research and advanced practices in computational engineering, particularly focusing on mechanics and related fields. The journal emphasizes extended state-of-the-art reviews in selected areas, a unique feature of its publication. Review Format: Reviews published in the journal offer: A survey of current literature Critical exposition of topics in their full complexity By organizing the information in this manner, readers can quickly grasp the focus, coverage, and unique features of the Archives of Computational Methods in Engineering.
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