Multi-layer shearing induced high orientation of graphene oxide sheets towards high-performance macrostructures

石墨烯 剪切(物理) 材料科学 氧化物 复合材料 微观结构 微尺度化学 扫描电子显微镜 纳米技术 冶金 数学 数学教育
作者
Yiwei Quan,Peng He,Jun Chen,Na Guo,Yanhong Li,Haolong Zheng,Jiajie Zhang,Xue Ping Ren,Yuqing Zhang,Wancheng Bao,Kai Qi,Guqiao Ding
出处
期刊:Carbon [Elsevier BV]
卷期号:226: 119179-119179 被引量:16
标识
DOI:10.1016/j.carbon.2024.119179
摘要

The orientation of graphene nanosheets in microstructures is directly related to the mechanical properties and thermal conductivity of graphene-based macrostructures. However, efficient and scalable modulation of the orientation of 2D graphene nanosheets remains challenging. Herein, a simple and effective approach was proposed by introducing a multi-layer shearing field in thick graphene oxide (GO) gel coatings to improve the total orientation of GO films. Hydrodynamic simulations were performed via the lattice-Boltzmann method to reveal the microscale mechanism of the flow profile in improving the orientation of GO nanosheets. The result was experimentally verified by fast Fourier transform (FFT) of the cross-section scanning electron microscope (SEM) images of freeze-dried GO films and wide-angle X-ray scattering (WAXS) patterns of 16 various samples under different shearing line distances, velocities, and GO concentrations. The obtained GO films exhibit high orientation (Herman's orientation factor ƒ = 0.922), high strength (419.2 MPa), and high modulus (26.2 GPa), respectively, which are 1.06, 5.57, and 3.49 times higher compared to GO films prepared through the frequently used doctor blade method. The good orientation of GO is remained and further improved to the ultra-high orientation (ƒ = 0.968) after being graphitized at 3150 °C and roll pressing, and the oriented thick graphene films achieved the highest thermal conductivity (1629 W m–1 K–1 for 86 μm and 1593 W m–1 K–1 for 110 μm) compared to other graphene films mentioned in the literature as having a similar thickness. The multi-layered shearing strategy represents a facile technology for assembling two-dimensional (2D) nanoscale building blocks into a macroscopic structure with good orientation and high performance.
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
可了不得发布了新的文献求助10
刚刚
虫子完成签到,获得积分10
刚刚
张重复发布了新的文献求助10
1秒前
Su完成签到 ,获得积分10
2秒前
莫妮卡完成签到,获得积分10
3秒前
矮小的醉香完成签到,获得积分10
3秒前
3秒前
ss_hHe发布了新的文献求助30
3秒前
小益完成签到,获得积分10
3秒前
123发布了新的文献求助10
4秒前
gyzzh完成签到,获得积分10
4秒前
5秒前
rocio应助ffliu采纳,获得10
5秒前
所所应助Yang_728采纳,获得10
5秒前
5秒前
Wxs66完成签到,获得积分20
6秒前
受伤菲音发布了新的文献求助20
7秒前
8秒前
儒雅黄豆发布了新的文献求助20
8秒前
8秒前
Lefting发布了新的文献求助10
9秒前
9秒前
9秒前
9秒前
YAN发布了新的文献求助10
10秒前
10秒前
深情安青应助阿龙采纳,获得10
10秒前
dxl完成签到,获得积分10
10秒前
acceptddd发布了新的文献求助10
11秒前
lelele发布了新的文献求助10
13秒前
13秒前
lllllll完成签到,获得积分10
13秒前
蒋美桥发布了新的文献求助10
13秒前
文剑武书生完成签到,获得积分10
14秒前
14秒前
鱼y完成签到,获得积分10
15秒前
搜集达人应助张泽海采纳,获得10
15秒前
zuofighting发布了新的文献求助10
15秒前
16秒前
跳跃凌瑶发布了新的文献求助10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Metallurgy at high pressures and high temperatures 2000
Tier 1 Checklists for Seismic Evaluation and Retrofit of Existing Buildings 1000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 1000
The Organic Chemistry of Biological Pathways Second Edition 1000
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
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 6333054
求助须知:如何正确求助?哪些是违规求助? 8149761
关于积分的说明 17107747
捐赠科研通 5388822
什么是DOI,文献DOI怎么找? 2856801
邀请新用户注册赠送积分活动 1834281
关于科研通互助平台的介绍 1685299