{"title":"回顾--石墨烯增强纳米复合材料的计算研究:技术、参数和未来展望","authors":"Mamta Dahiya, Virat Khanna, Niraj Gupta","doi":"10.1149/2162-8777/ad537a","DOIUrl":null,"url":null,"abstract":"\n In recent years, there has been notable exploration and investigation of graphene nanocomposites (GNCs) through experimental, numerical, and computational methods. GNCs have gained attention due to their remarkable mechanical and thermal properties, particularly when Gr has been utilized as the reinforcing material. Gr, a two-dimensional material, possesses exceptional properties, including greater elastic modulus, thermal conductivity, and electrical conductivity. As a result, GNCs have emerged as promising materials for various applications in aerospace and automobiles. Computational techniques, including finite element method (FEM), molecular dynamics, and Monte Carlo analysis have been utilized to analyse different aspects of GNC. Among these, FEM stands out for designing and evaluating the mechanical properties of GNC, enabling researchers to simulate and analyse the characteristics of GNC structures under diverse loading conditions, optimizing their design and predicting mechanical performance. This review emphasizes the significance of Gr in various matrices, discusses the present cutting-edge status of FEM methodologies for Gr reinforcement, and highlights its advantages and purposes. Furthermore, it explores the governing parameters affecting the mechanical properties of GNC and briefly presents the different mechanical properties of NC. We also outline future research directions and potential applications of GNC for advancing future generations of materials.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":"25 25","pages":""},"PeriodicalIF":16.4000,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Review—Computational Studies of Graphene Reinforced Nanocomposites: Techniques, Parameters, and Future Perspectives\",\"authors\":\"Mamta Dahiya, Virat Khanna, Niraj Gupta\",\"doi\":\"10.1149/2162-8777/ad537a\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n In recent years, there has been notable exploration and investigation of graphene nanocomposites (GNCs) through experimental, numerical, and computational methods. GNCs have gained attention due to their remarkable mechanical and thermal properties, particularly when Gr has been utilized as the reinforcing material. Gr, a two-dimensional material, possesses exceptional properties, including greater elastic modulus, thermal conductivity, and electrical conductivity. As a result, GNCs have emerged as promising materials for various applications in aerospace and automobiles. Computational techniques, including finite element method (FEM), molecular dynamics, and Monte Carlo analysis have been utilized to analyse different aspects of GNC. Among these, FEM stands out for designing and evaluating the mechanical properties of GNC, enabling researchers to simulate and analyse the characteristics of GNC structures under diverse loading conditions, optimizing their design and predicting mechanical performance. This review emphasizes the significance of Gr in various matrices, discusses the present cutting-edge status of FEM methodologies for Gr reinforcement, and highlights its advantages and purposes. Furthermore, it explores the governing parameters affecting the mechanical properties of GNC and briefly presents the different mechanical properties of NC. We also outline future research directions and potential applications of GNC for advancing future generations of materials.\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":\"25 25\",\"pages\":\"\"},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1149/2162-8777/ad537a\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1149/2162-8777/ad537a","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
近年来,人们通过实验、数值和计算方法对石墨烯纳米复合材料(GNCs)进行了显著的探索和研究。GNC 因其卓越的机械和热性能而备受关注,尤其是在使用 Gr 作为增强材料时。Gr 是一种二维材料,具有优异的特性,包括更高的弹性模量、导热性和导电性。因此,GNC 已成为航空航天和汽车领域各种应用的理想材料。包括有限元法(FEM)、分子动力学和蒙特卡罗分析在内的计算技术已被用于分析 GNC 的各个方面。其中,有限元法尤其适用于设计和评估 GNC 的机械性能,使研究人员能够模拟和分析 GNC 结构在不同加载条件下的特性,优化其设计并预测其机械性能。本综述强调了 Gr 在各种基体中的重要性,讨论了用于 Gr 加固的 FEM 方法的前沿现状,并强调了其优势和目的。此外,还探讨了影响 GNC 力学性能的相关参数,并简要介绍了 NC 的不同力学性能。我们还概述了 GNC 的未来研究方向和潜在应用,以促进未来材料的发展。
Review—Computational Studies of Graphene Reinforced Nanocomposites: Techniques, Parameters, and Future Perspectives
In recent years, there has been notable exploration and investigation of graphene nanocomposites (GNCs) through experimental, numerical, and computational methods. GNCs have gained attention due to their remarkable mechanical and thermal properties, particularly when Gr has been utilized as the reinforcing material. Gr, a two-dimensional material, possesses exceptional properties, including greater elastic modulus, thermal conductivity, and electrical conductivity. As a result, GNCs have emerged as promising materials for various applications in aerospace and automobiles. Computational techniques, including finite element method (FEM), molecular dynamics, and Monte Carlo analysis have been utilized to analyse different aspects of GNC. Among these, FEM stands out for designing and evaluating the mechanical properties of GNC, enabling researchers to simulate and analyse the characteristics of GNC structures under diverse loading conditions, optimizing their design and predicting mechanical performance. This review emphasizes the significance of Gr in various matrices, discusses the present cutting-edge status of FEM methodologies for Gr reinforcement, and highlights its advantages and purposes. Furthermore, it explores the governing parameters affecting the mechanical properties of GNC and briefly presents the different mechanical properties of NC. We also outline future research directions and potential applications of GNC for advancing future generations of materials.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.