IMECH-IR  > 非线性力学国家重点实验室
Graphene Foam: Hole-Flake Network for Uniaxial Supercompression and Recovery Behavior
Pan DX(潘斗兴)1,2; Wang C(王超)2; Wang XJ1
Corresponding AuthorPan, Douxing([email protected]) ; Wang, Xiaojie([email protected])
Source PublicationACS NANO
2018-11-01
Volume12Issue:11Pages:11491-11502
ISSN1936-0851
AbstractWe employed the coarse-grained molecular dynamics simulation method to systematically study the uniaxial supercompression and recovery behavior of multi porous graphene foam, in which a mesoscopic three-dimensional network with hole-graphene flakes was proposed. The network model not only considers the physical cross-links and interlayer van der Waals interactions, but also introduces a hole in the flake to approach the imperfection of pristine graphene and the hierarchical porous configuration of real foam material. We first recreated a typical two-stage supercompression stress strain relationship and the corresponding time-dependent recovery as well as a U-type nominal Poisson ratio. Then the recovery unloading at different strains and multicycle compression-uncompression were both conducted; the initial elastic moduli in the multicycles were found to be the same, and a multilevel residual strain was disclosed. Importantly, the residual strain is not exactly the plastic one, part of which can resurrect in the subsequent loading-unloading-holding. The mesoscopic mechanism of viscoelastic and residual deformation for the recovery can be attributed to the van der Waals repulsion and mechanical interlocking among the hole-flakes; interestingly, the local tensile stress was observed in the virial stress distribution. Particularly, an abnormal turning point in the length-time curve for the mean bead-bond length was captured during the supercompression. After the point, the length abnormally increases for different size ratios of the hole to the flake, which is in line with the mesostructure evolution. The finding may provide a mesoscopic criterion for the supercompression of graphene foam related materials.
Keywordcoarse-grained molecular dynamics graphene foam supercompression recovery behavior strain history mesoscale van der Waals interaction viscoelastoplasticity
DOI10.1021/acsnano.8b06558
Indexed BySCI ; EI
Language英语
WOS IDWOS:000451789200088
WOS Keyword3D ; DEFORMATION ; AEROGELS ; POLYMER ; PERFORMANCE ; MECHANICS ; DYNAMICS ; STRENGTH
WOS Research AreaChemistry ; Science & Technology - Other Topics ; Materials Science
WOS SubjectChemistry, Multidisciplinary ; Chemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary
Funding ProjectNational Natural Science Foundation for the Youth (NSFY) of China[11802306] ; National Natural Science Foundation for the General Program (NSFG) of China[11572320] ; Chongqing City Basic and Frontier Research Project[cstc2015jcyjBX0135]
Funding OrganizationNational Natural Science Foundation for the Youth (NSFY) of China ; National Natural Science Foundation for the General Program (NSFG) of China ; Chongqing City Basic and Frontier Research Project
Classification一类
Ranking1
ContributorPan, Douxing ; Wang, Xiaojie
Citation statistics
Cited Times:25[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/78970
Collection非线性力学国家重点实验室
Affiliation1.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Adv Mfg Technol, Bioinspired Robot & Intelligent Mat Lab, Changzhou 213164, Peoples R China;
2.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech LNM, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Pan DX,Wang C,Wang XJ. Graphene Foam: Hole-Flake Network for Uniaxial Supercompression and Recovery Behavior[J]. ACS NANO,2018,12,11,:11491-11502.Rp_Au:Pan, Douxing, Wang, Xiaojie
APA 潘斗兴,王超,&Wang XJ.(2018).Graphene Foam: Hole-Flake Network for Uniaxial Supercompression and Recovery Behavior.ACS NANO,12(11),11491-11502.
MLA 潘斗兴,et al."Graphene Foam: Hole-Flake Network for Uniaxial Supercompression and Recovery Behavior".ACS NANO 12.11(2018):11491-11502.
Files in This Item: Download All
File Name/Size DocType Version Access License
Jp2019164.pdf(9896KB)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
[潘斗兴]'s Articles
[王超]'s Articles
[Wang XJ]'s Articles
Baidu academic
Similar articles in Baidu academic
[潘斗兴]'s Articles
[王超]'s Articles
[Wang XJ]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[潘斗兴]'s Articles
[王超]'s Articles
[Wang XJ]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Jp2019164.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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