Biobased, recyclable, and multi-functional high-performance composites for electromagnetic interference shielding

材料科学 复合材料 电磁屏蔽 电磁干扰 计算机科学 电信
作者
Xiao-Li Zhao,Yi‐Dong Li,Long-Yang Zhan,Jian‐Bing Zeng
出处
期刊:Composites Science and Technology [Elsevier BV]
卷期号:253: 110635-110635 被引量:10
标识
DOI:10.1016/j.compscitech.2024.110635
摘要

High-performance fiber-reinforced thermoset composites (FRTCs) are highly demanded in modern society but are challenged because they depend on nonrenewable fossil-based feedstocks, are hard to recycle after service, and lack advanced functions. Here, we report a methodology to fabricate sustainable, recyclable, high-performance, and multifunctional FRTCs from renewable feedstocks such as vanillin, glycerol triglycidyl ether, 1,10-diaminodecane, and basalt fiber. We designed a mussel-inspired approach to prepare high conductive basalt fiber (CBF), and combined the CBF with a fully biobased covalent adaptable network (CAN) based on dynamic imine bonds to produce the composites i.e., CAN/CBF laminar composites through a solvent-free method. The CAN/CBF composites showed highly reinforced mechanical properties and multiple functionalities including electromagnetic interference shielding, shape memory and self-adhesion characters through combination in the advantages and functions of both CAN and CBF. Furthermore, we demonstrate that the CAN matrix and the reinforced CBF can be recycled separately and can be further reformed to the CAN/CBF composites due to the dynamic nature of the CAN matrix. Our study thus provides an urgently applicable approach for advanced manufacturing toward the green and circular advanced composites economy.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
期年之后完成签到,获得积分20
1秒前
xianglinnnn发布了新的文献求助30
1秒前
量子星尘发布了新的文献求助10
2秒前
药学虫完成签到,获得积分10
2秒前
浮游应助77采纳,获得10
3秒前
3秒前
3秒前
kk完成签到,获得积分10
4秒前
宓函发布了新的文献求助10
4秒前
5秒前
5秒前
5秒前
Mercury完成签到,获得积分20
6秒前
有脾气的番茄完成签到,获得积分10
6秒前
量子星尘发布了新的文献求助10
7秒前
7秒前
8秒前
9秒前
xinyihang发布了新的文献求助10
10秒前
11秒前
量子星尘发布了新的文献求助10
11秒前
15秒前
Charlene发布了新的文献求助10
15秒前
Chris学长完成签到,获得积分10
17秒前
LIUJIE发布了新的文献求助10
17秒前
Dk应助neverever采纳,获得30
17秒前
隐形曼青应助Mercury采纳,获得10
18秒前
浮游应助77采纳,获得10
18秒前
量子星尘发布了新的文献求助10
18秒前
GIINJIU应助1111采纳,获得10
18秒前
20秒前
kingwill应助有脾气的番茄采纳,获得20
21秒前
量子星尘发布了新的文献求助10
21秒前
若水三千发布了新的文献求助50
22秒前
Ava应助xianglinnnn采纳,获得30
22秒前
22秒前
小马甲应助ixxxy采纳,获得10
24秒前
26秒前
量子星尘发布了新的文献求助10
26秒前
JavedAli发布了新的文献求助200
26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
Nuclear Fuel Behaviour under RIA Conditions 500
Sociologies et cosmopolitisme méthodologique 400
Why America Can't Retrench (And How it Might) 400
Another look at Archaeopteryx as the oldest bird 390
Optimization and Learning via Stochastic Gradient Search 300
Higher taxa of Basidiomycetes 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4677587
求助须知:如何正确求助?哪些是违规求助? 4054932
关于积分的说明 12538661
捐赠科研通 3749065
什么是DOI,文献DOI怎么找? 2070839
邀请新用户注册赠送积分活动 1099816
科研通“疑难数据库(出版商)”最低求助积分说明 979403