Bioinspired Triboelectric Nanogenerators as Self‐Powered Electronic Skin for Robotic Tactile Sensing

2019 ◽  
Vol 30 (6) ◽  
pp. 1907312 ◽  
Author(s):  
Guo Yao ◽  
Liang Xu ◽  
Xiaowen Cheng ◽  
Yangyang Li ◽  
Xin Huang ◽  
...  
Materials ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1689
Author(s):  
Xi Han ◽  
Dongjie Jiang ◽  
Xuecheng Qu ◽  
Yuan Bai ◽  
Yu Cao ◽  
...  

Electronic skin that is deformable, self-healable, and self-powered has high competitiveness for next-generation energy/sense/robotic applications. Herein, we fabricated a stretchable, self-healable triboelectric nanogenerator (SH-TENG) as electronic skin for energy harvesting and tactile sensing. The elongation of SH-TENG can achieve 800% (uniaxial strain) and the SH-TENG can self-heal within 2.5 min. The SH-TENG is based on the single-electrode mode, which is constructed from ion hydrogels with an area of 2 cm × 3 cm, the output of short-circuit transferred charge (Qsc), open-circuit voltage (Voc), and short-circuit current (Isc) reaches ~6 nC, ~22 V, and ~400 nA, and the corresponding output power density is ~2.9 μW × cm−2 when the matching resistance was ~140 MΩ. As a biomechanical energy harvesting device, the SH-TENG also can drive red light-emitting diodes (LEDs) bulbs. Meanwhile, SH-TENG has shown good sensitivity to low-frequency human touch and can be used as an artificial electronic skin for touch/pressure sensing. This work provides a suitable candidate for the material selection of the hydrogel-based self-powered electronic skin.


Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2951
Author(s):  
Yangming Liu ◽  
Jialin Liu ◽  
Lufeng Che

Triboelectric nanogenerators (TENGs) have excellent properties in harvesting tiny environmental energy and self-powered sensor systems with extensive application prospects. Here, we report a high sensitivity self-powered wind speed sensor based on triboelectric nanogenerators (TENGs). The sensor consists of the upper and lower two identical TENGs. The output electrical signal of each TENG can be used to detect wind speed so that we can make sure that the measurement is correct by two TENGs. We study the influence of different geometrical parameters on its sensitivity and then select a set of parameters with a relatively good output electrical signal. The sensitivity of the wind speed sensor with this set of parameters is 1.79 μA/(m/s) under a wind speed range from 15 m/s to 25 m/s. The sensor can light 50 LEDs at the wind speed of 15 m/s. This work not only advances the development of self-powered wind sensor systems but also promotes the application of wind speed sensing.


2021 ◽  
Vol 188 (8) ◽  
Author(s):  
Faezeh Ejehi ◽  
Raheleh Mohammadpour ◽  
Elham Asadian ◽  
Somayeh Fardindoost ◽  
Pezhman Sasanpour

2021 ◽  
pp. 2100975
Author(s):  
Xiao Xiao ◽  
Xiao Xiao ◽  
Ardo Nashalian ◽  
Alberto Libanori ◽  
Yunsheng Fang ◽  
...  

Author(s):  
Araz Rajabi-Abhari ◽  
Jong-Nam Kim ◽  
Jeehee Lee ◽  
Rassoul Tabassian ◽  
Manmatha Mahato ◽  
...  

Micromachines ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 337
Author(s):  
Navneet Soin ◽  
Sam J. Fishlock ◽  
Colin Kelsey ◽  
Suzanne Smith

The use of rapid point-of-care (PoC) diagnostics in conjunction with physiological signal monitoring has seen tremendous progress in their availability and uptake, particularly in low- and middle-income countries (LMICs). However, to truly overcome infrastructural and resource constraints, there is an urgent need for self-powered devices which can enable on-demand and/or continuous monitoring of patients. The past decade has seen the rapid rise of triboelectric nanogenerators (TENGs) as the choice for high-efficiency energy harvesting for developing self-powered systems as well as for use as sensors. This review provides an overview of the current state of the art of such wearable sensors and end-to-end solutions for physiological and biomarker monitoring. We further discuss the current constraints and bottlenecks of these devices and systems and provide an outlook on the development of TENG-enabled PoC/monitoring devices that could eventually meet criteria formulated specifically for use in LMICs.


Nano Energy ◽  
2019 ◽  
Vol 59 ◽  
pp. 302-310 ◽  
Author(s):  
Gengrui Zhao ◽  
Yawen Zhang ◽  
Nan Shi ◽  
Zhirong Liu ◽  
Xiaodi Zhang ◽  
...  

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