Study on dynamic mechanism of controllable SWCNTs arrays prepared by self-assembly

材料科学 纳米技术 碳纳米管 制作 纳米尺度 自组装 机制(生物学) 医学 哲学 替代医学 认识论 病理
作者
Jianwei Zhang,Jianlei Cui,Zhaoxuan Yan,Chuanjie Zhang,Xuesong Mei
出处
期刊:Journal of Manufacturing Processes [Elsevier]
卷期号:108: 79-87
标识
DOI:10.1016/j.jmapro.2023.10.060
摘要

Single walled carbon nanotubes (SWCNTs) are seamless hollow tubular structures formed by a layer of graphite curled along a specific spiral vector. Individual SWCNT is restricted by the inconvenient manipulation in its nanoscale, and unable to maximize its functionality in the macro field. As a result, the two-dimensional array is the most basic structure for manufacturing SWCNTs devices in practical application. However, the fidelity of the array pattern and the distribution morphology of individual SWCNT in the large-scale array directly affect its performance, which also poses a challenge to the research on assembly methods and their underlying mechanisms. In this paper, the dynamic mechanism of controllable SWCNTs arrays prepared by self-assembly method has been studied from molecular dynamics to hydrodynamic by a combination of experiments and simulations. Some key factors limiting the fidelity of the arrays and the distribution morphology of individual SWCNT in the array, such as the self-assembly template, the concentration of the SWCNTs dispersion, are investigated and optimized by experiments. Finally, inspired by the results of the mechanism research, a blade-coating procedure is applied in self-assembly process to improve the alignment of SWCNTs in the array. The improved alignment of SWCNTs arrays are verified through morphology analysis and volt-ampere (V-A) characteristics compared with the SWCNTs randomly distributed arrays. The explicitly results are not only helpful to understand dynamic phenomena during self-assembly process and the influencing factors of the self-assembly method but also will provide meaningful guidance in the design, fabrication of SWCNTs arrays to prevent distortion in large scale and further promote their industrial application in manufacturing next-generation micro-nano devices.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
Siney完成签到,获得积分10
刚刚
1秒前
kl完成签到,获得积分10
2秒前
翠翠完成签到 ,获得积分0
2秒前
我是老大应助神内小大夫采纳,获得10
3秒前
Siney发布了新的文献求助10
4秒前
无线网络完成签到,获得积分10
4秒前
Cactus应助rockxie采纳,获得10
5秒前
彩彩发布了新的文献求助10
5秒前
Dear完成签到,获得积分10
6秒前
flying发布了新的文献求助10
6秒前
李爱国应助直率的如霜采纳,获得10
8秒前
8秒前
无花果应助芒果不芒采纳,获得10
10秒前
科目三应助森林木采纳,获得10
10秒前
QYW发布了新的文献求助20
12秒前
今后应助茶博士采纳,获得10
13秒前
CodeCraft应助科研通管家采纳,获得10
14秒前
英姑应助科研通管家采纳,获得10
14秒前
汉堡包应助科研通管家采纳,获得20
14秒前
赘婿应助科研通管家采纳,获得10
14秒前
完美世界应助科研通管家采纳,获得10
14秒前
我是老大应助科研通管家采纳,获得10
14秒前
打打应助科研通管家采纳,获得10
14秒前
852应助科研通管家采纳,获得20
14秒前
14秒前
香蕉觅云应助科研通管家采纳,获得10
14秒前
隐形曼青应助科研通管家采纳,获得10
14秒前
领导范儿应助科研通管家采纳,获得10
14秒前
14秒前
14秒前
默念完成签到,获得积分10
14秒前
bkagyin应助COCO采纳,获得10
14秒前
我是笨蛋发布了新的文献求助10
15秒前
15秒前
gjww应助hanhanhan采纳,获得10
17秒前
传奇3应助悦伶采纳,获得10
17秒前
17秒前
18秒前
iper发布了新的文献求助10
18秒前
高分求助中
Deactivation and Catalyst Life Prediction of Ultra-Deep HDS Catalyst for Diesel Fractions 1000
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Sport in der Antike 800
Aspect and Predication: The Semantics of Argument Structure 666
De arte gymnastica. The art of gymnastics 600
少脉山油柑叶的化学成分研究 530
Electronic Structure Calculations and Structure-Property Relationships on Aromatic Nitro Compounds 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2413899
求助须知:如何正确求助?哪些是违规求助? 2107537
关于积分的说明 5327682
捐赠科研通 1834898
什么是DOI,文献DOI怎么找? 914259
版权声明 560994
科研通“疑难数据库(出版商)”最低求助积分说明 488839