Preparation and performance optimization in high‐voltage cable semiconductive shielding layer for polyolefin composite based on multifractal analysis

材料科学 复合材料 复合数 聚烯烃 电磁屏蔽 微观结构 炭黑 碳纳米管 极限抗拉强度 图层(电子) 天然橡胶
作者
Yonghai Zhang,Leigang Zhang,Yong Liu,Tan Wu,Yuhui Chen,Bao-Feng Bai,Qi Luo
出处
期刊:Polymer Composites [Wiley]
卷期号:46 (2): 1206-1219 被引量:3
标识
DOI:10.1002/pc.28019
摘要

Abstract In this study, the semiconductive shielding composite was prepared successfully using the melt mixing method. The effects of combining multiwall carbon nanotubes (MWCNT) and carbon black (CB) into polyolefin plasticizers/ethylene vinyl acetate/linear low density polyethylene matrix on the mechanical performances, electrical conductivity, and processing rheological properties of the samples were investigated. The research results indicate that adding MWCNT to the prepared semiconductive shielding composite can form a complete conductive network, and its synergistic effect with CB jointly improves the conductivity of the composite material. Compared with the absence of MWCNT, its bulk resistivity decreased from 1.61 W • cm to 0.89 W • cm, a decrease of 44.7%. At the same time, the prepared semiconductive shielding composite has excellent mechanical and processing performances. The elongation at break, maximum tensile strength, and elastic modulus of the composites were increased by 30.9%, 17.9%, and 4.9%, respectively. Based on multifractal analysis, by adjusting the content of MWCNT in composite and optimized processing paths, the distribution and microstructure of MWCNT in composite can be optimized to obtain adjustable mechanical and processing rheological properties. This study presents a guiding approach for designing and developing functional composites requiring adjustable mechanical performances. Highlights The semiconductive shielding composite was prepared successfully. The prepared composite has excellent mechanical and processing performances. Multiwall carbon nanotubes with carbon black can form conductive network. The microstructure can be optimized by quantitative characterization of the morphology.
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
青基就是小徐完成签到,获得积分20
1秒前
清脆保温杯完成签到,获得积分10
2秒前
yyx发布了新的文献求助10
2秒前
顺心的芝麻完成签到 ,获得积分10
2秒前
zaixiaPPL完成签到 ,获得积分10
3秒前
kk完成签到 ,获得积分10
3秒前
3秒前
wangkuo发布了新的文献求助10
4秒前
nianyi完成签到,获得积分10
4秒前
xiaobuding完成签到,获得积分10
5秒前
6666666666666666完成签到,获得积分10
5秒前
杨洋完成签到 ,获得积分10
6秒前
6秒前
我是阳光菇完成签到 ,获得积分10
6秒前
6秒前
7秒前
7秒前
7秒前
7秒前
平常心完成签到,获得积分10
7秒前
7秒前
7秒前
7秒前
8秒前
10秒前
SciGPT应助大班肄业采纳,获得10
10秒前
妥妥应助科研通管家采纳,获得30
11秒前
11秒前
11秒前
Hello应助科研通管家采纳,获得10
11秒前
科目三应助科研通管家采纳,获得10
11秒前
歪歪发布了新的文献求助10
11秒前
丘比特应助科研通管家采纳,获得10
11秒前
Jasper应助科研通管家采纳,获得10
11秒前
cdercder应助科研通管家采纳,获得10
12秒前
隐形曼青应助科研通管家采纳,获得10
12秒前
pluto应助科研通管家采纳,获得10
12秒前
田様应助科研通管家采纳,获得10
12秒前
12秒前
顾矜应助科研通管家采纳,获得10
12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
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Electrode Potentials 550
Matrix Methods in Data Mining and Pattern Recognition 510
Trees of tropical Asia : an illustrated guide to diversity 500
Materials Informatics Molecules, Crystals and Beyond A volume in Acta Materialia Book Series 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 7045559
求助须知:如何正确求助?哪些是违规求助? 8711747
关于积分的说明 18447051
捐赠科研通 6559072
什么是DOI,文献DOI怎么找? 3118247
关于科研通互助平台的介绍 2203807
邀请新用户注册赠送积分活动 2093666