Polyborosiloxane-Encapsulated Carbon Nanotube/Polyurethane Foams for Multifunctional Pressure Memory and Pain Bionic Sensors

材料科学 碳纳米管 压力传感器 复合材料 聚氨酯 纳米技术 感应(电子) 电磁屏蔽 光电子学 电子皮肤 导电体 机械工程 电气工程 工程类
作者
Xuefeng Hong,Yongqing Zhao,Chengxin Gong,Jiabao Chao,Bizhi Lv,Zhefeng Xu,Linqiong Xu,Wenge Zheng
出处
期刊:ACS applied nano materials [American Chemical Society]
卷期号:6 (9): 7543-7552 被引量:13
标识
DOI:10.1021/acsanm.3c00647
摘要

Electronic skin (e-skin) is a bionic human skin material that is widely used in artificial intelligence devices. Pressure sensors, as the main component of e-skin, can perceive active pressure spatial distribution in real time. However, in addition to perceiving touch and pressure, human skin also has the ability to sense pain after being impacted or heavily pressed. Therefore, it is hoped that e-skin has the ability to sense the occurrence and disappearance of pain. Here, a pressure memory sensor (PM sensor) based on pressure memory foam (PM foam) was fabricated by a simple and easy-to-scale preparation process. PM foam exhibited excellent electrical conductivity due to the dense three-dimensional conductive network formed by carbon nanotubes (CNTs). PM sensors can achieve pressure memory and spontaneous recovery performance due to self-adhesion between the cell walls provided by polyborosiloxane (PBS). We investigated the effects of CNT and PBS contents on PM sensor sensitivity and memory time and realized the adjustment of sensitivity (0.012–0.099 kPa–1) and memory time (54–325 s). The sensor can bionically sense pain under heavy pressure or impact. In addition, PM foam exhibited excellent electromagnetic interference shielding performance and achieved a shielding effectiveness of more than 30 dB. PM foam realized the intelligent regulation of electromagnetic wave reflection and electromagnetic wave absorption through the conversion of a foam state and solid state. PM foam had excellent Joule heating performance to resist extreme cold environments. Multifunctional pressure memory and pain bionic sensors have great significance and application prospects in e-skin.
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
Holden完成签到 ,获得积分10
1秒前
Wlj完成签到 ,获得积分10
1秒前
华仔应助尹雪儿采纳,获得10
2秒前
JoymeansU发布了新的文献求助10
2秒前
酷炫的猕猴桃完成签到 ,获得积分10
2秒前
3秒前
派派完成签到,获得积分10
4秒前
搜集达人应助RONG采纳,获得10
5秒前
5秒前
5秒前
6秒前
谦让碧菡完成签到,获得积分10
6秒前
6秒前
6秒前
爆米花应助sherrywuxh采纳,获得10
7秒前
在水一方应助香芋宝哥采纳,获得10
7秒前
7秒前
wyl_51完成签到,获得积分10
7秒前
启明and长庚完成签到 ,获得积分10
7秒前
Ava应助绝影采纳,获得10
8秒前
9秒前
9秒前
9秒前
glitter发布了新的文献求助10
10秒前
飘逸寄云发布了新的文献求助10
10秒前
ylong发布了新的文献求助10
11秒前
11秒前
12秒前
在水一方应助负责的幻波采纳,获得10
13秒前
明远发布了新的文献求助10
14秒前
14秒前
14秒前
14秒前
尹雪儿发布了新的文献求助10
15秒前
15秒前
启明and长庚关注了科研通微信公众号
15秒前
不是山谷关注了科研通微信公众号
16秒前
18秒前
18秒前
香芋宝哥发布了新的文献求助10
19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
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Positive Obsession: The Life and Times of Octavia E. Butler 500
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
The Neuroscience of Language 400
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 7689816
求助须知:如何正确求助?哪些是违规求助? 9251878
关于积分的说明 19973506
捐赠科研通 7262810
什么是DOI,文献DOI怎么找? 3290440
关于科研通互助平台的介绍 2447127
邀请新用户注册赠送积分活动 2295279