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
房点发布了新的文献求助10
刚刚
ahin完成签到,获得积分10
1秒前
1秒前
Junex发布了新的文献求助10
1秒前
2秒前
3秒前
4秒前
5秒前
山水之乐完成签到,获得积分10
5秒前
王博士完成签到,获得积分10
5秒前
5秒前
心灵美的花卷完成签到,获得积分10
5秒前
6秒前
7秒前
7秒前
山水之乐发布了新的文献求助10
7秒前
7秒前
dailj发布了新的文献求助10
7秒前
明亮青曼发布了新的文献求助10
8秒前
怡然听兰完成签到,获得积分10
8秒前
英姑应助一剑惊断江河采纳,获得10
9秒前
10秒前
10秒前
东方元语应助Cathy采纳,获得20
10秒前
陈峙锦发布了新的文献求助10
11秒前
超级纸飞机完成签到,获得积分10
11秒前
无花果应助多情的凤妖采纳,获得10
12秒前
慕青应助多情的凤妖采纳,获得10
12秒前
orixero应助多情的凤妖采纳,获得10
12秒前
Lucas应助多情的凤妖采纳,获得10
12秒前
heracles发布了新的文献求助10
12秒前
12秒前
ding应助多情的凤妖采纳,获得10
12秒前
molihuakai应助多情的凤妖采纳,获得10
12秒前
风中思松发布了新的文献求助10
13秒前
NexusExplorer应助星月采纳,获得10
13秒前
季春涛完成签到,获得积分10
13秒前
why发布了新的文献求助10
15秒前
小犁牛完成签到 ,获得积分10
15秒前
肖肖发布了新的文献求助10
15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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
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
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 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 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 7624884
求助须知:如何正确求助?哪些是违规求助? 9199878
关于积分的说明 19724179
捐赠科研通 7195890
什么是DOI,文献DOI怎么找? 3273588
关于科研通互助平台的介绍 2435754
邀请新用户注册赠送积分活动 2269423