Creating molecular bridges across the interfaces in segregated composites toward improved conductive and mechanical properties

材料科学 复合材料 天然橡胶 环氧树脂 导电体 聚合物 压缩成型 碳纳米管 相(物质) 电阻率和电导率 模具 化学 有机化学 电气工程 工程类
作者
Sheng Wang,Zhenghai Tang,Wentao Cen,Chengfeng Zhang,Baochun Guo
出处
期刊:Composites Science and Technology [Elsevier BV]
卷期号:222: 109377-109377 被引量:15
标识
DOI:10.1016/j.compscitech.2022.109377
摘要

Constructing segregated structure in polymer composites is a particularly effective strategy to improve electrical conductivity by selectively distributing fillers in the interstitial space among isolated polymer domains. However, the segregated composites generally suffer from inferior mechanical properties because the fillers at the interfaces hinder chain diffusion and leads to weak interfacial adherence or defects. In this contribution, we present a facile method to fabricate segregated composites with improved electrical conductivities and mechanical properties by creating molecular bridges across the interfaces among the segregated domains. Specifically, β-hydroxyl ester-crosslinked epoxidized natural rubber (ENR) granules were compounded with the master batch of carboxylated nitrile rubber (xNBR) and carbon nanotubes (CNTs), followed by compression molding. In the resultant composites, CNTs embedded in xNBR phase are distributed along the boundaries of ENR domains, and xNBR can act as binder to bridge the crosslinked ENR granules through the reaction of carboxyl groups with the epoxy groups and β-hydroxyl esters on ENR granule surfaces. As a consequence, the segregated composites exhibit greatly improved electrical conductivity and mechanical properties when comparing to their randomly dispersed counterparts. In addition, the segregated network is able to endure deformations and heal damage without significant loss of the electrical conductivity. The conductive and mechanical properties of the composites are found to be closely related to the morphologies of segregated structure and CNT concentration in the continuous xNBR phase.

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
2秒前
3秒前
青争完成签到,获得积分10
7秒前
xxxxyy完成签到,获得积分20
7秒前
123完成签到,获得积分10
7秒前
钰泠发布了新的文献求助10
8秒前
8秒前
tttttttttt完成签到 ,获得积分10
9秒前
沐恩完成签到,获得积分10
10秒前
11秒前
任性小霸王完成签到,获得积分10
11秒前
11秒前
打打应助165采纳,获得10
11秒前
11秒前
12秒前
核桃发布了新的文献求助10
12秒前
南岸南瓜完成签到,获得积分10
12秒前
科研通AI6.4应助王晨旭采纳,获得10
12秒前
dq发布了新的文献求助10
13秒前
铁甲小宝发布了新的文献求助10
14秒前
Min发布了新的文献求助30
15秒前
16秒前
大大的寄吧完成签到,获得积分10
17秒前
沐恩发布了新的文献求助100
18秒前
jeong_71完成签到 ,获得积分10
18秒前
LLLL发布了新的文献求助10
19秒前
徐创完成签到,获得积分10
20秒前
尊敬凝蝶发布了新的文献求助10
21秒前
xxxxyy关注了科研通微信公众号
21秒前
曾经的路灯完成签到,获得积分10
21秒前
21秒前
情怀应助dq采纳,获得10
21秒前
科研通AI6.3应助dq采纳,获得10
22秒前
微笑的小蚂蚁完成签到,获得积分10
22秒前
田様应助dq采纳,获得30
22秒前
汉堡包应助dq采纳,获得10
22秒前
今后应助dq采纳,获得10
22秒前
慕青应助dq采纳,获得10
22秒前
慕青应助dq采纳,获得10
23秒前
天天快乐应助dq采纳,获得10
23秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
The Redesign of International Investment Contracts 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 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 7539017
求助须知:如何正确求助?哪些是违规求助? 9123656
关于积分的说明 19490828
捐赠科研通 7136330
什么是DOI,文献DOI怎么找? 3257849
关于科研通互助平台的介绍 2425138
邀请新用户注册赠送积分活动 2245912