Exfoliated Graphene Leads to Exceptional Mechanical Properties of Polymer Composite Films

石墨烯 复合数 材料科学 聚合物 复合材料 纳米技术 高分子科学
作者
Yunsong Pang,Junlong Yang,Tyler E. Curtis,Shirui Luo,Dezhao Huang,Zhe Feng,J. O. Morales-Ferreiro,Pitambar Sapkota,Fan Lei,Jianming Zhang,Qinnan Zhang,Eungkyu Lee,Yajiang Huang,Ruilan Guo,Sylwia Ptasińska,Ryan K. Roeder,Tengfei Luo
出处
期刊:ACS Nano [American Chemical Society]
被引量:58
标识
DOI:10.1021/acsnano.8b04734
摘要

Polymers with superior mechanical properties are desirable in many applications. In this work, polyethylene (PE) films reinforced with exfoliated thermally reduced graphene oxide (TrGO) fabricated using a roll-to-roll hot-drawing process are shown to have outstanding mechanical properties. The specific ultimate tensile strength and Young's modulus of PE/TrGO films increased monotonically with the drawing ratio and TrGO filler fraction, reaching up to 3.2 ± 0.5 and 109.3 ± 12.7 GPa, respectively, with a drawing ratio of 60× and a very low TrGO weight fraction of 1%. These values represent by far the highest reported to date for a polymer/graphene composite. Experimental characterizations indicate that as the polymer films are drawn, TrGO fillers are exfoliated, which is further confirmed by molecular dynamics (MD) simulations. Exfoliation increases the specific area of the TrGO fillers in contact with the PE matrix molecules. Molecular dynamics simulations show that the PE-TrGO interaction is stronger than the PE-PE intermolecular van der Waals interaction, which enhances load transfer from PE to TrGO and leverages the ultrahigh mechanical properties of TrGO.

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
传奇3应助耍酷的剑身采纳,获得10
1秒前
天天快乐应助耍酷的剑身采纳,获得10
1秒前
打打应助耍酷的剑身采纳,获得10
1秒前
酷波er应助耍酷的剑身采纳,获得10
1秒前
小蘑菇应助耍酷的剑身采纳,获得10
2秒前
今后应助耍酷的剑身采纳,获得10
2秒前
Hello应助耍酷的剑身采纳,获得10
2秒前
上官若男应助练习者采纳,获得10
2秒前
SciGPT应助耍酷的剑身采纳,获得10
2秒前
仁爱的凤发布了新的文献求助10
2秒前
3秒前
4秒前
papa完成签到,获得积分10
4秒前
追寻紫安发布了新的文献求助10
4秒前
4秒前
冬雪丶消融应助lingyin采纳,获得10
5秒前
5秒前
五十一发布了新的文献求助10
5秒前
5秒前
Xx丶发布了新的文献求助10
6秒前
KP完成签到,获得积分20
6秒前
无聊的代曼完成签到,获得积分10
6秒前
泥巴派超甜完成签到 ,获得积分10
7秒前
7秒前
好人发布了新的文献求助20
7秒前
7秒前
7秒前
在水一方应助luanzhaohui采纳,获得10
8秒前
一二三四完成签到,获得积分20
8秒前
8秒前
KP发布了新的文献求助10
9秒前
淳于安筠发布了新的文献求助10
9秒前
zhangmeng完成签到,获得积分10
10秒前
11秒前
11秒前
爱听歌的悒完成签到 ,获得积分10
11秒前
RG发布了新的文献求助10
12秒前
12秒前
虚拟感情完成签到,获得积分10
13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 6492186
求助须知:如何正确求助?哪些是违规求助? 8289880
关于积分的说明 17689415
捐赠科研通 5583896
什么是DOI,文献DOI怎么找? 2915252
邀请新用户注册赠送积分活动 1892392
关于科研通互助平台的介绍 1750377