Pressure Sensors With Ultrahigh Sensitivity Inspired by Spider Slit Sensilla

灵敏度(控制系统) 材料科学 算法 航程(航空) 符号 量子隧道 计算机科学 光电子学 复合材料 数学 电子工程 工程类 算术
作者
Yan Li,Qien Xue,Zongzheng Zhang,Yufu Bian,Biaobing Jin,Fuling Yang
出处
期刊:IEEE Sensors Journal [IEEE Sensors Council]
卷期号:23 (11): 11729-11737 被引量:2
标识
DOI:10.1109/jsen.2023.3266753
摘要

The crack-based ultrasensitive sensor inspired by the spider has an efficient electro-mechanical conversion mechanism and shows superiority in extremely small movement monitoring. However, a complete explanation of the sensing mechanism and the theoretical study of the optimization of the crack structure is still a challenge. Here, we simplify the bionic sensing layer into a parallel equal-length crack structure and implement the mechanical analysis using the method of complex variable function, from which, three typical stages of the crack structure under different force levels are summarized, which are overlap, transition, and tunneling, respectively. The sensing characteristics at each stage are studied, a pressure-resistance model is established, and also the influence law of the crack parameters on the sensitivity and measuring range is investigated, all to support the design of a bionic crack pressure sensor aiming for ultrahigh sensitivity. To fabricate the pressure sensor, the elastic substrate for the cracks is successfully prepared by gold ion sputtering, and the morphology of the metal cracks is precisely controlled using a photolithography-assisted method. According to experiments, the fabricated pressure sensor shows an ultrahigh sensitivity of $2.39\times107$ kPa $^{{-{1}}}$ in the range of 0.28–0.35 kPa, as well as pleasing repeatability within at least 1000 testing cycles. The sensitivity of the bionic crack pressure sensor is desirable compared with a group of recently reported pressure sensors. Combining with other benefits of stability and reliable fabrication, our bionic crack pressure sensor is attractive for ultraprecision applications, such as human–machine interfaces and biological health monitoring.

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
xixixixi完成签到,获得积分10
1秒前
2秒前
3秒前
3秒前
4秒前
4秒前
wangwangxiao完成签到 ,获得积分10
4秒前
今后应助果冻采纳,获得10
4秒前
WBTT发布了新的文献求助10
5秒前
星辰大海应助南笙几梦采纳,获得10
5秒前
Jasper应助林泉采纳,获得10
6秒前
坚定的迎波完成签到,获得积分10
6秒前
嘻嘻嘻发布了新的文献求助10
7秒前
勤恳元枫发布了新的文献求助30
7秒前
NN发布了新的文献求助10
8秒前
9秒前
哈哈哈发布了新的文献求助10
9秒前
67发布了新的文献求助10
11秒前
12秒前
13秒前
张建煌发布了新的文献求助10
16秒前
科研通AI6.3应助如意半兰采纳,获得10
17秒前
伶俐妙海应助热心的雁桃采纳,获得20
18秒前
18秒前
Yan完成签到,获得积分10
18秒前
FashionBoy应助激昂的幻梦采纳,获得10
18秒前
华乐天完成签到,获得积分10
19秒前
20秒前
20秒前
21秒前
tuyfytjt发布了新的文献求助10
22秒前
Orange应助小亮采纳,获得10
22秒前
欣欣发布了新的文献求助10
23秒前
林泉发布了新的文献求助10
24秒前
璐璐完成签到,获得积分20
24秒前
7749应助范六六采纳,获得10
24秒前
25秒前
酷炫依凝发布了新的文献求助10
25秒前
25秒前
lubenwei68发布了新的文献求助10
25秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
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 7197600
求助须知:如何正确求助?哪些是违规求助? 8832698
关于积分的说明 18647012
捐赠科研通 6836906
什么是DOI,文献DOI怎么找? 3177538
关于科研通互助平台的介绍 2331785
邀请新用户注册赠送积分活动 2152072