A transparent, highly stretchable, self-healing polyurethane based on disulfide bonds

聚氨酯 材料科学 结晶度 自愈 差示扫描量热法 复合材料 极限抗拉强度 聚合物 自愈材料 医学 热力学 物理 病理 替代医学
作者
Kun Chang,Han Jia,Shuying Gu
出处
期刊:European Polymer Journal [Elsevier BV]
卷期号:112: 822-831 被引量:288
标识
DOI:10.1016/j.eurpolymj.2018.11.005
摘要

Polymers with self-healing ability have attracted great research efforts recently. A transparent self-healing polyurethane (PU) based on disulfide bonds is reported in this work. The crystalline structures, self-healing properties of the polyurethane were investigated by differential scanning calorimetry (DSC), X-ray diffraction measurements (XRD), dynamic mechanical analysis (DMA), stress relaxation and tensile tests. The as-prepared self-healing polyurethane was transparent due to low crystallinity and exhibited excellent self-healing properties, stretchability and healing repeatability. The healing efficiency and elongation at break at a moderate healing temperature were over 90% and 800%, respectively. Meanwhile, the self-healing polyurethane exhibited an excellent healing repeatability and service reliablility. The self-healing mechanism was analyzed through surface analysis of the scratches and shape memory effect. The system was composed of a polyurethane network, which was responsible for the autonomous crack closure due to its shape memory characteristic, and an intrinsic self-healing component through dynamic disulfide bond exchange. The self-healing polyurethane might have potential applications in the fields of flexible electronics, including artificial skins, soft robotics, etc.
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
搜集达人应助node101采纳,获得10
刚刚
华仔应助lemon采纳,获得10
刚刚
1秒前
1秒前
勤恳藏花完成签到,获得积分10
1秒前
gengwenjing完成签到,获得积分10
2秒前
4秒前
科研通AI6.4应助秋雨采纳,获得10
4秒前
烟花应助秋雨采纳,获得10
5秒前
核平铀善发布了新的文献求助10
5秒前
tangyunfeng发布了新的文献求助10
6秒前
张娇发布了新的文献求助10
6秒前
YMY发布了新的文献求助10
7秒前
7秒前
俊秀的钥匙完成签到,获得积分10
8秒前
放学别走完成签到,获得积分10
8秒前
青春发布了新的文献求助10
10秒前
北葵发布了新的文献求助10
10秒前
bkagyin应助鱼鱼采纳,获得10
11秒前
风趣的欢发布了新的文献求助10
11秒前
12秒前
12秒前
12秒前
科研通AI6.2应助哎呀采纳,获得10
15秒前
苒苒发布了新的文献求助10
16秒前
在水一方应助小季丶二五采纳,获得10
17秒前
hhhhhhh发布了新的文献求助10
17秒前
17秒前
张欢馨应助will_li采纳,获得10
18秒前
19秒前
xing_xing应助饱满的秋灵采纳,获得20
20秒前
赘婿应助jackZ采纳,获得10
20秒前
21秒前
22秒前
22秒前
871004188完成签到,获得积分10
23秒前
追寻荔枝发布了新的文献求助10
24秒前
薄情完成签到,获得积分10
25秒前
26秒前
dp发布了新的文献求助10
26秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
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 7577418
求助须知:如何正确求助?哪些是违规求助? 9157111
关于积分的说明 19590484
捐赠科研通 7161335
什么是DOI,文献DOI怎么找? 3265338
关于科研通互助平台的介绍 2430294
邀请新用户注册赠送积分活动 2255998