Carbon nanotube network structure induced strain sensitivity and shape memory behavior changes of thermoplastic polyurethane

热塑性聚氨酯 材料科学 复合材料 碳纳米管 电阻率和电导率 热塑性塑料 聚氨酯 形状记忆合金 流变学 极限抗拉强度 弹性体 电气工程 工程类
作者
Jie Chen,Zhixing Zhang,Wenbin Huang,Jiale Li,Jing‐hui Yang,Yong Wang,Zuowan Zhou,Jihong Zhang
出处
期刊:Materials in engineering [Elsevier BV]
卷期号:69: 105-113 被引量:74
标识
DOI:10.1016/j.matdes.2014.12.054
摘要

Thermoplastic polyurethane (TPU) composites containing different carbon nanotube (CNT) contents ranging from 0.5 to 5 wt% were prepared and the main attention was focused on investigating the relation between the network structure of CNTs and the macroscopic physical properties of the composites. The network structure of CNTs in the TPU/CNT composites was demonstrated through morphological characterization and rheological measurement. Tensile properties, electrical properties, strain sensitivity and shape memory properties were comparatively investigated. The results showed that CNTs at content above 2 wt% formed the percolated network structure in the TPU composites. High content of CNTs exhibited excellent reinforcement effect. Adding a few CNTs greatly reduced the electrical resistivity of the composites. The TPU/CNT composites exhibited good strain sensitivity, and the variation of electrical resistivity during the stretching-restoring process was dependent upon CNT content. At room temperature, CNTs delayed the shape recovery behavior of the composites, especially when the percolated CNT network structure was formed. However, with the aid of electrical actuation, largely accelerated shape recovery behavior was observed for the TPU/CNT sample containing 5 wt% CNTs.

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
1秒前
2秒前
唐唐发布了新的文献求助20
2秒前
v0id应助hjw采纳,获得10
3秒前
3秒前
Nole应助hjw采纳,获得10
3秒前
腼腆的茉莉应助hjw采纳,获得10
4秒前
小新小新发布了新的文献求助10
4秒前
4秒前
充电宝应助清秀雨竹采纳,获得10
4秒前
李木头完成签到,获得积分10
5秒前
6秒前
6秒前
Miracle_wh完成签到 ,获得积分10
6秒前
7秒前
NexusExplorer应助keyan_zhou采纳,获得10
7秒前
7秒前
香妃发布了新的文献求助10
8秒前
yowgo完成签到,获得积分10
9秒前
天天快乐应助bvcw采纳,获得10
9秒前
zooola发布了新的文献求助30
10秒前
Ava应助eileen采纳,获得10
11秒前
11秒前
田様应助科研通管家采纳,获得10
12秒前
所所应助科研通管家采纳,获得10
12秒前
每天吃土发布了新的文献求助10
12秒前
桐桐应助科研通管家采纳,获得10
12秒前
酷波er应助科研通管家采纳,获得10
12秒前
Nole应助科研通管家采纳,获得10
12秒前
12秒前
12345完成签到,获得积分10
12秒前
13秒前
大个应助科研通管家采纳,获得10
13秒前
13秒前
13秒前
英俊的铭应助科研通管家采纳,获得10
13秒前
科研通AI2S应助科研通管家采纳,获得30
13秒前
陈宇发布了新的文献求助10
13秒前
英姑应助科研通管家采纳,获得10
13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
Römisch-Germanische Forschungen 1000
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7617949
求助须知:如何正确求助?哪些是违规求助? 9193175
关于积分的说明 19703263
捐赠科研通 7190429
什么是DOI,文献DOI怎么找? 3272065
关于科研通互助平台的介绍 2434843
邀请新用户注册赠送积分活动 2267229