Ultralight and Highly Resilient Boron Nitride Nanosheet/Polyimide Foams for Energy Harvesting and Sensing

纳米片 聚酰亚胺 材料科学 氮化硼 复合数 摩擦电效应 压缩(物理) 变形(气象学) 抗压强度 复合材料 纳米技术 图层(电子)
作者
Qinghong Zhai,Jingwen Yang,Wei Qiao,Jiaxiao Qiao,Hejun Gao,Zexia Li,Peng Wang,Chengchun Tang,Yanming Xue
出处
期刊:ACS applied polymer materials [American Chemical Society]
卷期号:4 (5): 3236-3246 被引量:17
标识
DOI:10.1021/acsapm.1c01795
摘要

The application of highly superelastic foamlike materials has gradually expanded to various high-end areas, such as filtration purification, mechanical power generation, and energy storage, showing their considerable and expected prospects. In this paper, facile freeze-drying technology combined with a gradual thermal-imidization process was employed to prepare a series of boron nitride nanosheet (BNNS)-filled polyimide (PI) composite foams. These foams can exhibit excellent mechanical properties, including their cyclic stability for considerable cycles under long compressive loading–unloading processes, and their relatively low irreversible deformation. After 10000 cycles at the compression strain of 60%, the total strain loss of the composite filled with 12 wt % is only 14%, which is 2/3 that of pure PI foam. Based on these excellent mechanical characteristics, the foam composites exhibit well a compression-driven triboelectric performance. The effects of BNNS content, compression strain, and rate on the triboelectric properties of the composites were studied in detail. We found that a higher compression strain and compression rate will lead to stronger electrical signals. More significantly, on the basis of the one-to-one relationship between electrical signal and compressive deformation, BNNSs/PI foam will likely be used in the field of control sensing. Finally, the electrical generation device based on composites was used in an insole and keyboard to transform mechanical energy generated by human movement into electrical signals.
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
望舒完成签到 ,获得积分10
1秒前
凡F发布了新的文献求助20
1秒前
1秒前
bkagyin应助隐形君浩采纳,获得10
2秒前
2秒前
2秒前
wuzicaom完成签到,获得积分10
3秒前
3秒前
molihuakai应助爱撒娇的黑米采纳,获得10
3秒前
阿玉完成签到,获得积分10
4秒前
Nanzhizzz完成签到,获得积分10
4秒前
Original发布了新的文献求助10
5秒前
5秒前
自然白安完成签到 ,获得积分10
5秒前
疯狂小妈完成签到,获得积分10
5秒前
不爱喝纯牛奶完成签到,获得积分10
6秒前
6秒前
7秒前
Jing完成签到,获得积分10
7秒前
热心戎发布了新的文献求助10
7秒前
wanci应助实心球采纳,获得10
8秒前
田様应助一个达不刘采纳,获得10
9秒前
9秒前
9秒前
酷波er应助香菜丸子采纳,获得10
9秒前
爱撒娇的黑米完成签到,获得积分20
9秒前
9秒前
小王完成签到,获得积分10
9秒前
邓鹏煊完成签到,获得积分10
10秒前
10秒前
10秒前
11秒前
11秒前
11秒前
12秒前
Nole应助重要的松鼠采纳,获得10
12秒前
Mornye完成签到 ,获得积分10
12秒前
丘比特应助Pendulium采纳,获得10
12秒前
科研通AI2S应助幻象波普星采纳,获得10
13秒前
英姑应助kkkrystal采纳,获得10
13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 1500
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7507567
求助须知:如何正确求助?哪些是违规求助? 9096525
关于积分的说明 19411186
捐赠科研通 7114794
什么是DOI,文献DOI怎么找? 3251915
关于科研通互助平台的介绍 2421227
邀请新用户注册赠送积分活动 2238267