中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Interlocked CNT networks with high damping and storage modulus

文献类型:期刊论文

作者Liu, QL; Li, M; Gu, YZ; Wang, SK; Zhang, YY(张永毅); Li, QW(李清文); Gao, LM; Zhang, ZG
刊名CARBON
出版日期2015
卷号86页码:8
通讯作者Li, M
英文摘要The interlocked carbon nanotube (CNT) networks formed by floating catalyst chemical vapor deposition method is found to show greatly enhanced damping ratio (0.37-0.42) and much higher storage modulus (>11.0 GPa) compared to most of engineering damping materials and any other kinds of CNT networks and composites ever reported. Interestingly, its damping performance is frequency-dependent with damping ratio and dynamic moduli increasing obviously when frequency varies from 1 to 200 Hz. The structural analysis reveals that excellent energy dissipation ability of the CNT networks is mainly ascribed to abundant inter-bundle stick-slip motions throughout the interlocked CNT networks. Additionally, the presence of catalyst particles at network junctions leads to the strengthening of inter-bundle contacts and therefore high storage modulus. Such networked structures can be tailored with improved mechanical properties via suitable stretching. The simultaneous possession of high damping ratio and storage modulus for the CNT networks, together with its light-weight, high-temperature endurance, good thermal conductivity and scalable production, enables itself a promising new damping materials potentially useful for many applications. (C) 2015 Elsevier Ltd. All rights reserved.
收录类别SCI
语种英语
公开日期2016-05-03
源URL[http://ir.sinano.ac.cn/handle/332007/3387]  
专题苏州纳米技术与纳米仿生研究所_先进材料研究部_李清文团队
推荐引用方式
GB/T 7714
Liu, QL,Li, M,Gu, YZ,et al. Interlocked CNT networks with high damping and storage modulus[J]. CARBON,2015,86:8.
APA Liu, QL.,Li, M.,Gu, YZ.,Wang, SK.,Zhang, YY.,...&Zhang, ZG.(2015).Interlocked CNT networks with high damping and storage modulus.CARBON,86,8.
MLA Liu, QL,et al."Interlocked CNT networks with high damping and storage modulus".CARBON 86(2015):8.

入库方式: OAI收割

来源:苏州纳米技术与纳米仿生研究所

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