Polythiourethane Covalent Adaptable Networks for Strong and Reworkable Adhesives and Fully Recyclable Carbon Fiber-Reinforced Composites

材料科学 复合材料 胶粘剂 极限抗拉强度 弹性体 图层(电子)
作者
Chenhui Cui,Xingxing Chen,Li Ma,Qianyun Zhong,Zhen Li,Mariappan Arumugam,Qiang Zhang,Yilong Cheng,Gang He,Xiaoming Chen,Zhen Dong,Le An,Yanfeng Zhang
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:12 (42): 47975-47983 被引量:141
标识
DOI:10.1021/acsami.0c14189
摘要

The development of adhesives with superior optical and mechanical performance, solvent resistance, and reworkability is gaining increasing attention in recent years. However, traditional materials do not possess reprocessability and healing characteristics for sustainable development. Here, a superior dynamic polythiourethane (PTU) adhesive with high reprocessability was developed by introducing covalent adaptable networks (CANs). Specifically, dynamic thiocarbamate bonds (TCB) were used to prepare PTU CANs, which showed dramatically enhanced malleability and recyclability. The Young's modulus of the material was 2.0 GPa and the tensile strength was 62.7 MPa. The reprocessing temperature of CANs was reduced to 80 °C while more than 90% of their mechanical properties were retained, even after being reprocessed several times. Moreover, the highly transparent and water-resistant PTU CANs featured an excellent bonding property and reworkability for various materials including glass, with a lap shear strength of 2.9 MPa, metal (5.1 MPa), and wood (6.3 MPa), compared with commercially available adhesives. Additionally, carbon fiber-reinforced composites constructed with PTU CANs were capable of being fully recycled and reused. Importantly, laminated glass with a toughened PTU-PU elastomer interface exhibited an outstanding impact fatigue-resistance behavior, sustaining thousands of impacts. These features demonstrate that PTU CANs show great potential as sustainable materials.
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
1秒前
1秒前
1秒前
mryc发布了新的文献求助10
2秒前
荔枝完成签到,获得积分10
3秒前
科研通AI6.2应助不喜采纳,获得10
3秒前
科研通AI6.4应助不喜采纳,获得10
3秒前
3秒前
4秒前
东风发布了新的文献求助10
4秒前
4秒前
5秒前
xiaohong发布了新的文献求助10
5秒前
kkem发布了新的文献求助10
5秒前
5秒前
6秒前
6秒前
LYY完成签到,获得积分10
6秒前
孤独陛下完成签到,获得积分10
7秒前
英俊的铭应助追寻怀亦采纳,获得10
7秒前
7秒前
彩色初柔完成签到,获得积分10
8秒前
8秒前
fyc完成签到,获得积分10
8秒前
8秒前
8秒前
乐乐应助唐书采纳,获得10
9秒前
9秒前
happy崔发布了新的文献求助10
9秒前
Akim应助kkem采纳,获得10
9秒前
sanvva应助文献打人采纳,获得50
10秒前
海澄发布了新的文献求助10
10秒前
CJYY完成签到,获得积分10
11秒前
11秒前
11秒前
11秒前
孤独陛下发布了新的文献求助10
11秒前
狂野冷荷发布了新的文献求助10
12秒前
Banananan发布了新的文献求助10
12秒前
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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7349710
求助须知:如何正确求助?哪些是违规求助? 8961468
关于积分的说明 19034361
捐赠科研通 6999597
什么是DOI,文献DOI怎么找? 3220790
关于科研通互助平台的介绍 2385563
邀请新用户注册赠送积分活动 2201125