| Literature DB >> 35218071 |
Zaishan Lin1,2, Jiaqi Dong3, Xin Wang1,2, Qitao Huang4, Xi Shen5, Minglong Yang1,2, Xianxian Sun1,2, Ye Yuan6, Shasha Wang1,2, Yuanhao Ning1,2, Shuang Yang1,2, Weilong Yin1,2, Menglin Li7, Yiwei Sun8, Qiangqiang Zhang3, Yibin Li1,2,6.
Abstract
Typically, solid materials exhibit transverse contraction in response to stretching in the orthogonal direction and transverse expansion under compression conditions. However, when flexible graphene nanosheets are assembled into a 3D porous architecture, the orientation-arrangement-delivered directional deformation of micro-nanosheets may induce anomalous mechanical properties. In this study, a 3D hierarchical graphene metamaterial (GTM) with twin-structured morphologies is assembled by manipulating the temperature gradient for ice growth during in situ freeze-casting procedures. GTM demonstrates anomalous anisotropic compression performance with programable Poisson's ratios (PRs) and improved mechanical properties (e.g., elasticity, strength, modulus, and fatigue resistance) along different directions. Owing to the designed three-phase deformation of 2D graphene sheets as basic microelements, the twin-structure GTM delivers distinctive characteristics of compressive curves with an apparent stress plateau, and follows a strengthening tendency. This multiscale deformation behavior facilitates the enhancement of energy loss coefficient. In addition, a finite element theory based numerical model is established to optimize the structural design, and validate the multiscale tunable PR mechanism and oriented structural evolution. The mechanical and thermal applications of GTM indicate that the rational manipulation-driven design of meta-structures paves the way for exploring graphene-based multifunctional materials with anomalous properties.Entities:
Keywords: Poisson's ratio; anomalous mechanical properties; graphene metamaterials; twin structures
Year: 2022 PMID: 35218071 DOI: 10.1002/adma.202200444
Source DB: PubMed Journal: Adv Mater ISSN: 0935-9648 Impact factor: 30.849