Microstructural design and mechanical performance of epoxy/carbon nanotube fiber composite

环氧树脂 材料科学 复合材料 碳纳米管 复合数 傅里叶变换红外光谱 极限抗拉强度 拉曼光谱 模数 弹性模量 化学工程 光学 物理 工程类
作者
Amir Abbas Seraji,Mohammad Aghvami‐Panah,Ali Zadhoush,Saeed Salimian,Hamed Khoshnevis
出处
期刊:Journal of Composite Materials [SAGE Publishing]
卷期号:56 (23): 3591-3602 被引量:7
标识
DOI:10.1177/00219983221119273
摘要

In this paper, carbon nanotube (CNT) fiber is chemically modified through a post-spinning process with an acid treatment and epoxy infiltration. Thermo-gravimetric analysis (TGA), FTIR, and Raman spectroscopy revealed that acid treatment reduced impurities of CNT fibers and induced the formation of carboxylic functional groups on the CNTs surface that positively affect the strength; however, some defects on the surface of the nanotubes were induced that negatively affect the elastic modulus. After the epoxy infiltration procedure, it was revealed that the pores of CNT fiber were filled with epoxy resulting in improved interfacial interaction between CNT bundles either through an interlocking of polymer chains wrapping around the tubes or even by creating covalent bonds between the carboxyl-functionalized nanotubes. Comparing the mechanical performance of epoxy/CNT fibers with and without acid treatment indicated that pre-treatment of the fibers with acid before epoxy infiltration caused a reduction in the final modulus. The modulus of epoxy/CNT fiber reaches 103 N/tex and is about 20% higher than the acid-treated counterpart. Acid treatment prior to epoxy resin infiltration generates functional groups on the CNTs surface that enhance the fiber’s strength through strong reactions between epoxy chains and CNTs. On the other hand, the structural defects on CNTs imposed by acid lead to a reduction in the elastic modulus.

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
风灵发布了新的文献求助10
刚刚
shinble发布了新的文献求助10
1秒前
lei完成签到,获得积分10
1秒前
1秒前
starry发布了新的文献求助20
2秒前
蛙蛙完成签到,获得积分0
3秒前
3秒前
天天快乐应助smyp采纳,获得10
3秒前
英俊的铭应助依米采纳,获得10
3秒前
TOM发布了新的文献求助10
3秒前
4秒前
wen关注了科研通微信公众号
4秒前
111完成签到,获得积分10
4秒前
无锡底细发布了新的文献求助10
4秒前
senli2018发布了新的文献求助10
4秒前
KEFE发布了新的文献求助50
4秒前
慕容博完成签到,获得积分10
5秒前
小乖乖永远在路上完成签到,获得积分10
5秒前
Jasper应助senli2018采纳,获得10
5秒前
5秒前
天天快乐应助a海w采纳,获得10
6秒前
芋泥紫薯蛋糕完成签到,获得积分10
6秒前
7秒前
7秒前
7秒前
奥利奥发布了新的文献求助10
7秒前
科研通AI2S应助紧张的靖荷采纳,获得10
8秒前
库洛洛发布了新的文献求助10
8秒前
lxy应助荆棘鸟采纳,获得10
8秒前
小粥发布了新的文献求助10
8秒前
爆米花应助笑点低冰蝶采纳,获得30
10秒前
10秒前
芜萧发布了新的文献求助10
11秒前
11秒前
lioo驳回了Kao应助
11秒前
333333333完成签到,获得积分10
11秒前
12秒前
13秒前
独特的香魔完成签到 ,获得积分10
13秒前
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
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
Green Fire Retardants for Polymeric Materials 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 7614284
求助须知:如何正确求助?哪些是违规求助? 9189647
关于积分的说明 19690022
捐赠科研通 7187194
什么是DOI,文献DOI怎么找? 3271119
关于科研通互助平台的介绍 2434485
邀请新用户注册赠送积分活动 2266062