Nitin Kishore Rawat, Naman Jain, Abhishek Kumar Mishra, Akarsh Verma
{"title":"金属和合金晶界迁移机制的原子尺度模拟:综述","authors":"Nitin Kishore Rawat, Naman Jain, Abhishek Kumar Mishra, Akarsh Verma","doi":"10.1007/s11831-024-10201-8","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":55473,"journal":{"name":"Archives of Computational Methods in Engineering","volume":"32 3","pages":"1931 - 1968"},"PeriodicalIF":9.7000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Atomistic-Scale Simulations on Grain Boundary Migration Mechanisms Involved in Metals and Alloys: A Critical Review\",\"authors\":\"Nitin Kishore Rawat, Naman Jain, Abhishek Kumar Mishra, Akarsh Verma\",\"doi\":\"10.1007/s11831-024-10201-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":55473,\"journal\":{\"name\":\"Archives of Computational Methods in Engineering\",\"volume\":\"32 3\",\"pages\":\"1931 - 1968\"},\"PeriodicalIF\":9.7000,\"publicationDate\":\"2024-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of Computational Methods in Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11831-024-10201-8\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Computational Methods in Engineering","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s11831-024-10201-8","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Atomistic-Scale Simulations on Grain Boundary Migration Mechanisms Involved in Metals and Alloys: A Critical Review
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.
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.