IMECH-IR  > 非线性力学国家重点实验室
Mechanical Properties and Deformation Mechanisms of Graphene Foams with Bi-Modal Sheet Thickness by Coarse-Grained Molecular Dynamics Simulations
Liu, Shenggui1; Lyu, Mindong1; Wang C(王超)2,3
Corresponding AuthorWang, Chao([email protected])
Source PublicationMATERIALS
2021-10-01
Volume14Issue:19Pages:14
AbstractGraphene foams (GrFs) have been widely used as structural and/or functional materials in many practical applications. They are always assembled by thin and thick graphene sheets with multiple thicknesses; however, the effect of this basic structural feature has been poorly understood by existing theoretical models. Here, we propose a coarse-grained bi-modal GrF model composed of a mixture of 1-layer flexible and 8-layer stiff sheets to study the mechanical properties and deformation mechanisms based on the mesoscopic model of graphene sheets (Model. Simul. Mater. Sci. Eng. 2011, 19, 54003). It is found that the modulus increases almost linearly with an increased proportion of 8-layer sheets, which is well explained by the mixture rule; the strength decreases first and reaches the minimum value at a critical proportion of stiff sheets ~30%, which is well explained by the analysis of structural connectivity and deformation energy of bi-modal GrFs. Furthermore, high-stress regions are mainly dispersed in thick sheets, while large-strain areas mainly locate in thin ones. Both of them have a highly uneven distribution in GrFs due to the intrinsic heterogeneity in both structures and the mechanical properties of sheets. Moreover, the elastic recovery ability of GrFs can be enhanced by adding more thick sheets. These results should be helpful for us to understand and further guide the design of advanced GrF-based materials.

Keywordgraphene foam materials microstructure bi-modal sheet thickness stress-strain curve coarse-grained molecular dynamics
DOI10.3390/ma14195622
Indexed BySCI ; EI
Language英语
WOS IDWOS:000710351800001
WOS KeywordSPONGY GRAPHENE ; FIBERS ; AEROGELS ; ULTRALIGHT ; FRAMEWORKS ; NETWORKS
WOS Research AreaChemistry ; Materials Science ; Metallurgy & Metallurgical Engineering ; Physics
WOS SubjectChemistry, Physical ; Materials Science, Multidisciplinary ; Metallurgy & Metallurgical Engineering ; Physics, Applied ; Physics, Condensed Matter
Funding ProjectNSFC[41472130] ; NSFC[11972348] ; NSFC[11790292] ; National Key Research and Development Program of China[2016YFC0600704] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB22040503]
Funding OrganizationNSFC ; National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
Classification二类/Q1
Ranking1
ContributorWang, Chao
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/87787
Collection非线性力学国家重点实验室
Affiliation1.China Univ Min & Technol, Sch Mech & Civil Engn, Beijing 100083, Peoples R China;
2.Chinese Acad Sci, Inst Mech, LNM, Beijing 100190, Peoples R China;
3.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Liu, Shenggui,Lyu, Mindong,Wang C. Mechanical Properties and Deformation Mechanisms of Graphene Foams with Bi-Modal Sheet Thickness by Coarse-Grained Molecular Dynamics Simulations[J]. MATERIALS,2021,14,19,:14.Rp_Au:Wang, Chao
APA Liu, Shenggui,Lyu, Mindong,&王超.(2021).Mechanical Properties and Deformation Mechanisms of Graphene Foams with Bi-Modal Sheet Thickness by Coarse-Grained Molecular Dynamics Simulations.MATERIALS,14(19),14.
MLA Liu, Shenggui,et al."Mechanical Properties and Deformation Mechanisms of Graphene Foams with Bi-Modal Sheet Thickness by Coarse-Grained Molecular Dynamics Simulations".MATERIALS 14.19(2021):14.
Files in This Item: Download All
File Name/Size DocType Version Access License
Jp2021F519.pdf(7393KB)期刊论文出版稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Lanfanshu
Similar articles in Lanfanshu
[Liu, Shenggui]'s Articles
[Lyu, Mindong]'s Articles
[王超]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu, Shenggui]'s Articles
[Lyu, Mindong]'s Articles
[王超]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu, Shenggui]'s Articles
[Lyu, Mindong]'s Articles
[王超]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Jp2021F519.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.