Thermally insulating and fire‐retardant bio‐mimic structural composites with a negative Poisson's ratio for battery protection

材料科学 阻燃剂 复合材料 热失控 纳米复合材料 可燃性 保温 韧性 电池(电) 法律工程学 图层(电子) 功率(物理) 物理 量子力学 工程类
作者
Fengyin Du,Zuquan Jin,Ruizhe Yang,Menglong Hao,Jiawei Wang,Gang Xu,Wenqiang Zuo,Zifan Geng,Hao Pan,Tian Li,Wei Zhang,Wei She
出处
期刊:Carbon energy [Wiley]
卷期号:5 (12) 被引量:26
标识
DOI:10.1002/cey2.353
摘要

Abstract Battery safety has attracted considerable attention worldwide due to the rapid development of wearable electronics and the steady increase in the production and use of electric vehicles. As battery failures are often associated with mechanical‐thermal coupled behaviors, protective shielding materials with excellent mechanical robustness and flame‐retardant properties are highly desired to mitigate thermal runaway. However, most of the thermal insulating materials are not strong enough to protect batteries from mechanical abuse, which is one of the most critical scenarios with catastrophic consequences. Here, inspired by wood, we have developed an effective approach to engineer a hierarchical nanocomposite via self‐assembly of calcium silicate hydrate and polyvinyl alcohol polymer chains (referred as CSH wood). The versatile protective material CSH wood demonstrates an unprecedented combination of light weight (0.018 g cm −3 ), high stiffness (204 MPa in the axial direction), negative Poisson's ratio (−0.15), remarkable toughness (6.67 × 10 5 J m −3 ), superior thermal insulation (0.0204 W m −1 K −1 in the radial direction), and excellent fire retardancy (UL94‐V0). When applied as a protective cover or a protective layer within battery packages, the tough CSH wood can resist high‐impact load and block heat diffusion to block or delay the spread of fire, therefore significantly reducing the risk of property damage or bodily injuries caused by battery explosions. This work provides new pathways for fabricating advanced thermal insulating materials with large scalability and demonstrates great potential for the protection of electronic devices.

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
AXQ完成签到,获得积分10
1秒前
2秒前
2秒前
3秒前
卫绯发布了新的文献求助10
3秒前
科研通AI6.3应助科研辣鸡采纳,获得10
3秒前
kskdss发布了新的文献求助10
4秒前
4秒前
李爱国应助圆脸的空间啊采纳,获得10
5秒前
lin发布了新的文献求助10
6秒前
7秒前
7秒前
7秒前
123发布了新的文献求助10
8秒前
9秒前
LYZSh发布了新的文献求助10
9秒前
10秒前
充电宝应助kskdss采纳,获得10
11秒前
11秒前
风中黎昕发布了新的文献求助10
12秒前
搜集达人应助木南采纳,获得30
12秒前
coldzer0发布了新的文献求助10
13秒前
13秒前
小龙发布了新的文献求助10
13秒前
14秒前
15秒前
fa发布了新的文献求助10
16秒前
2052669099发布了新的文献求助10
16秒前
wangwang发布了新的文献求助10
16秒前
16秒前
桐桐应助小龙采纳,获得10
18秒前
佼佼者完成签到,获得积分10
18秒前
19秒前
Kao应助今晚雨很大采纳,获得10
20秒前
20秒前
风趣元珊完成签到,获得积分20
24秒前
yyyyj完成签到,获得积分10
24秒前
24秒前
山与发布了新的文献求助10
24秒前
熊二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
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
Petrology and Plate Tectonics 800
Matrix Methods in Data Mining and Pattern Recognition 540
Interactions of Vowel Quality and Prosody in East Slavic 500
Vander's Renal Physiology第10版 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 7051648
求助须知:如何正确求助?哪些是违规求助? 8716147
关于积分的说明 18454692
捐赠科研通 6569459
什么是DOI,文献DOI怎么找? 3120272
关于科研通互助平台的介绍 2208749
邀请新用户注册赠送积分活动 2095924