Interlayer and interfacial stress transfer in hBN nanosheets

材料科学 石墨烯 拉曼光谱 复合材料 单层 基质(水族馆) 纳米片 氮化硼 纳米技术 光学 海洋学 地质学 物理
作者
Weimiao Wang,Zheling Li,Alexander J. Marsden,Mark A. Bissett,Robert J. Young
出处
期刊:2D materials [IOP Publishing]
卷期号:8 (3): 035058-035058 被引量:26
标识
DOI:10.1088/2053-1583/ac0c2a
摘要

Abstract Stress transfer has been investigated for exfoliated hexagonal boron nitride (hBN) nanosheets (BNNSs) through the use of Raman spectroscopy. Single BNNSs of different thicknesses of up to 100 nm (300 layers) were deposited upon a poly(methyl methacrylate) (PMMA) substrate and deformed in unixial tension. The Raman spectra from the BNNSs were relatively weak compared to graphene, but the in-plane E 2g Raman mode (the G band) could be distinguished from the spectrum of the PMMA substrate. It was found that G band down-shifted during tensile deformation and that the rate of band shift per unit strain decreased as the thickness of the BNNSs increased, as is found for multi-layer graphene. The efficiency of internal stress transfer between the different hBN layers was found to be of the order of 99% compared to 60%–80% for graphene, as a result of the stronger bonding between the hBN layers in the BNNSs. The reduction in bandshift rate can be related to the effective Young’s modulus of the 2D material in a nanocomposites and the findings show that it would be expected that even 100 layer BNNSs should have a Young’s modulus of more than half that of hBN monolayer. Interfacial stress transfer between a single hBN nanosheet and the PMMA substrate has been evaluated using shear lag theory. It is found that the interfacial shear stress between the BNNS and the substrate is of the order of 10 MPa, a factor of around 4 higher than that for a graphene monolayer. These findings imply that BNNSs should give better mechanical reinforcement than graphene in polymer-based nanocomposites as a result of good internal interlayer stress transfer within the nanosheets and better interfacial stress transfer to the polymer matrix.
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
景行发布了新的文献求助10
刚刚
刚刚
1秒前
大宝剑2号完成签到,获得积分10
2秒前
哈哈完成签到 ,获得积分20
2秒前
兔子完成签到,获得积分10
2秒前
2秒前
3秒前
阿坝发布了新的文献求助10
4秒前
4秒前
5秒前
大宝剑2号发布了新的文献求助10
6秒前
好事成双完成签到,获得积分10
6秒前
7秒前
8秒前
8秒前
wxy关注了科研通微信公众号
10秒前
10秒前
乐乐的应助被GVD采纳,获得10
10秒前
szq发布了新的文献求助10
11秒前
马家沟大水鸭完成签到,获得积分10
11秒前
jjw123完成签到,获得积分10
13秒前
微笑的冰旋完成签到,获得积分10
13秒前
研友_LwlAgn完成签到,获得积分10
17秒前
MoChin完成签到,获得积分10
17秒前
17秒前
17秒前
jhy完成签到 ,获得积分10
18秒前
笨笨发布了新的文献求助30
18秒前
思源的应助被西南林彭于晏采纳,获得10
20秒前
谷云完成签到,获得积分10
23秒前
风趣秋白完成签到,获得积分0
24秒前
哈哈哈的应助被zyy采纳,获得10
25秒前
桐桐的应助被魔修采纳,获得10
25秒前
26秒前
27秒前
UAECT完成签到,获得积分10
27秒前
28秒前
ygh完成签到,获得积分10
28秒前
Nole的应助被JIW采纳,获得10
28秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
Decentring Leadership 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7810206
求助须知:如何正确求助?哪些是违规求助? 9342090
关于积分的说明 20510773
捐赠科研通 7403078
什么是DOI,文献DOI怎么找? 3329336
关于科研通互助平台的介绍 2476182
邀请新用户注册赠送积分活动 2348212