Bioinspired,\nHighly Adhesive, Nanostructured Polymeric\nCoatings for Superhydrophobic Fire-Extinguishing Thermal Insulation\nFoam

材料科学 粘附 炭化 丙烯酸酯 复合材料 共聚物 热的 保温 聚合物 电子设备和系统的热管理 聚氨酯 聚苯乙烯 十八烷 纳米技术 聚酯纤维 胶粘剂
作者
Zhewen Ma (8355996),Xiaochen Liu (356802),Xiaodong Xu (276342),Lei Liu (5074),Bin Yu (14464),Cristian Maluk (11028382),Guobo Huang (1978966),Hao Wang (39217),Pingan Song (1579378)
出处
期刊: [Figshare (United Kingdom)]
标识
DOI:10.1021/acsnano.1c02254.s001
摘要

Lightweight\npolymeric foam is highly attractive as thermal insulation\nmaterials for energy-saving buildings but is plagued by its inherent\nflammability. Fire-retardant coatings are suggested as an effective\nmeans to solve this problem. However, most of the existing fire-retardant\ncoatings suffer from poor interfacial adhesion to polymeric foam during\nuse. In nature, snails and tree frogs exhibit strong adhesion to a\nvariety of surfaces by interfacial hydrogen-bonding and mechanical\ninterlocking, respectively. Inspired by their adhesion mechanisms,\nwe herein rationally design fire-retardant polymeric coatings with\nphase-separated micro/nanostructures via a facile\nradical copolymerization of hydroxyethyl acrylate (HEA) and sodium\nvinylsulfonate (VS). The resultant waterborne poly­(VS-co-HEA) copolymers exhibit strong interfacial adhesion to rigid polyurethane\n(PU) foam and other substrates, better than most of the current adhesives\nbecause of the combination of interfacial hydrogen-bonding and mechanical\ninterlocking. Besides a superhydrophobic feature, the poly­(VS-co-HEA)-coated PU foam can self-extinguish a flame, exhibiting\na desired V-0 rating during vertical burning and low heat and smoke\nrelease due to its high charring capability, which is superior to\nits previous counterparts. Moreover, the foam thermal insulation is\nwell-preserved and agrees well with theoretical calculations. This\nwork offers a facile biomimetic strategy for creating advanced adhesive\nfire-retardant polymeric coatings for many flammable substrates.

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
罗氏集团发布了新的文献求助10
1秒前
Wolfram发布了新的文献求助10
3秒前
3秒前
义气猫咪发布了新的文献求助10
3秒前
成就祥完成签到,获得积分10
4秒前
PeterBlue发布了新的文献求助10
5秒前
科研通AI6.4应助iuuuuu采纳,获得10
6秒前
ERICLEE82完成签到,获得积分10
7秒前
7秒前
lien应助eon采纳,获得10
7秒前
情怀应助tier3采纳,获得10
8秒前
哇哈哈哈完成签到,获得积分20
8秒前
bipo发布了新的文献求助10
9秒前
蟑螂恶霸发布了新的文献求助10
9秒前
贪玩的初雪应助未完采纳,获得10
12秒前
12秒前
小二郎应助TomasLiu采纳,获得10
12秒前
13秒前
Achhz发布了新的文献求助10
14秒前
脑洞疼应助jam采纳,获得30
14秒前
15秒前
陈蒙医生发布了新的文献求助10
16秒前
16秒前
汉堡包应助清爽访曼采纳,获得10
16秒前
16秒前
17秒前
阿涛完成签到,获得积分10
17秒前
马丁完成签到,获得积分10
17秒前
HUYAOWEI完成签到,获得积分10
18秒前
18秒前
20秒前
20秒前
爆米花应助mia采纳,获得10
20秒前
可靠铸海应助666采纳,获得10
21秒前
21秒前
马丁发布了新的文献求助10
23秒前
火火木完成签到,获得积分10
23秒前
脑洞疼应助我在青年湖旁采纳,获得10
23秒前
张欢馨应助aw采纳,获得10
24秒前
思思发布了新的文献求助10
24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
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
全员动态考核,锚定高质量发展:读懂同济大学教师人事改革新政的深层价值 900
Health Psychology 800
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
Römisch-Germanische Forschungen 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 7594691
求助须知:如何正确求助?哪些是违规求助? 9171587
关于积分的说明 19632352
捐赠科研通 7172147
什么是DOI,文献DOI怎么找? 3267751
关于科研通互助平台的介绍 2432512
邀请新用户注册赠送积分活动 2260657