Controllable assembly of continuous hollow graphene fibers with robust mechanical performance and multifunctionalities

材料科学 石墨烯 极限抗拉强度 纳米技术 复合材料 纺纱 模数 延伸率 电阻式触摸屏 工程类 电气工程
作者
Lei Shi,Hongbo Dai,Qinqqing Ni,Xiaoming Qi,Wei Liu,Rui He,Zhangyi Chi,Yaqin Fu
出处
期刊:Nanotechnology [IOP Publishing]
卷期号:33 (15): 155602-155602 被引量:5
标识
DOI:10.1088/1361-6528/ac47d0
摘要

Macroscopic conformation of individual graphene sheets serves as the backbone of translating their intrinsic merits towards multifunctional practical applications. However, controllable and continuous assemblies of graphene-based nanomaterials to create stable macroscopic structural components are always in face of great challenge. We have developed a scalable converging-flow assisted wet-spinning methodology for continuously fabricating hollow graphene fibers (HGFs, the newest variation of solid graphene fibers) with high quality. The degradable silk thread is selectively utilized as the continuous hollow structure former that holds the coaxially stacked graphene sheets aligned through the converging-flow modulating process. For the first time, we have created the longest freestanding HGF in length of 2.1 m. The continuous HGFs are in an average diameter of 180μm and with 4-8μm adjustable wall thicknesses. The optimal HGF demonstrates an average tensile strength of 300 MPa and modulus of 2.49 GPa (comparable to typical solid graphene fibers, but the highest among the reported HGFs in literature) and an exceptional failure elongation of 10.8%. Additionally, our continuous HGFs exhibit spontaneous resistive response to thermal and strain stimuli (in form of large deformations and human motions), offering great potential for developing multifunctional sensors. We envision that this work demonstrates an effective and well-controlled macroscopic assembly methodology for the scaled-up mass production of HGFs.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
2秒前
jin发布了新的文献求助10
2秒前
xiangkk完成签到,获得积分10
3秒前
seagull完成签到,获得积分10
6秒前
任性凡雁发布了新的文献求助10
6秒前
xiangkk发布了新的文献求助10
7秒前
molihuakai应助小晚采纳,获得10
8秒前
脑洞疼应助神奇五子棋采纳,获得10
10秒前
哈哈哈完成签到,获得积分10
10秒前
芋头是只大肥狗完成签到 ,获得积分10
11秒前
科研通AI6.1应助虫子采纳,获得10
11秒前
112完成签到,获得积分10
11秒前
MUWENYING完成签到,获得积分10
12秒前
笨笨听双完成签到,获得积分10
12秒前
12秒前
12秒前
seagull发布了新的文献求助10
13秒前
张瀚文完成签到,获得积分10
14秒前
大胖小子完成签到,获得积分10
14秒前
15秒前
liuniao发布了新的文献求助30
16秒前
112发布了新的文献求助10
17秒前
jiangx完成签到 ,获得积分10
18秒前
18秒前
mofan完成签到,获得积分20
18秒前
19秒前
Akim应助灵巧冰露采纳,获得10
19秒前
朵朵完成签到,获得积分10
20秒前
20秒前
朴素羊完成签到 ,获得积分10
20秒前
fs发布了新的文献求助10
20秒前
21秒前
zml36完成签到,获得积分10
21秒前
彩色的续发布了新的文献求助10
23秒前
端庄洋葱发布了新的文献求助10
23秒前
24秒前
27秒前
细腻的雅山完成签到 ,获得积分10
27秒前
yan完成签到,获得积分10
30秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6493084
求助须知:如何正确求助?哪些是违规求助? 8290568
关于积分的说明 17691341
捐赠科研通 5585230
什么是DOI,文献DOI怎么找? 2915545
邀请新用户注册赠送积分活动 1892630
关于科研通互助平台的介绍 1750980