A smart triboelectric nanogenerator with tunable rheological and electrical performance for self-powered multi-sensors

2020 ◽  
Vol 8 (11) ◽  
pp. 3715-3723 ◽  
Author(s):  
Sheng Wang ◽  
Fang Yuan ◽  
Shuai Liu ◽  
Jianyu Zhou ◽  
Shouhu Xuan ◽  
...  

A smart triboelectric nanogenerator with controllable mechanical and energy-harvesting properties has been developed, and the self-powered sensing performance for multiple fields was demonstrated.

Author(s):  
Shuai Liu ◽  
Fang Yuan ◽  
Min Sang ◽  
Jianyu Zhou ◽  
Junshuo Zhang ◽  
...  

A multi-functional triboelectric nanogenerator (TENG) is developed, which enables to sense mechanical/magnetic stimuli in the self-powered manner, and presents favorable magneto-driven and target recognization performance for spilled oil treatment.


Nano Energy ◽  
2021 ◽  
pp. 105964
Author(s):  
Sugato Hajra ◽  
Venkateswaran Vivekananthan ◽  
Manisha Sahu ◽  
Gaurav Khandelwal ◽  
Nirmal Prashanth Maria Joseph Raj ◽  
...  

Micromachines ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 598 ◽  
Author(s):  
Kwangseok Lee ◽  
Jeong-won Lee ◽  
Kihwan Kim ◽  
Donghyeon Yoo ◽  
Dong Kim ◽  
...  

Water waves are a continuously generated renewable source of energy. However, their random motion and low frequency pose significant challenges for harvesting their energy. Herein, we propose a spherical hybrid triboelectric nanogenerator (SH-TENG) that efficiently harvests the energy of low frequency, random water waves. The SH-TENG converts the kinetic energy of the water wave into solid–solid and solid–liquid triboelectric energy simultaneously using a single electrode. The electrical output of the SH-TENG for six degrees of freedom of motion in water was investigated. Further, in order to demonstrate hybrid energy harvesting from multiple energy sources using a single electrode on the SH-TENG, the charging performance of a capacitor was evaluated. The experimental results indicate that SH-TENGs have great potential for use in self-powered environmental monitoring systems that monitor factors such as water temperature, water wave height, and pollution levels in oceans.


Nano Energy ◽  
2017 ◽  
Vol 39 ◽  
pp. 429-436 ◽  
Author(s):  
Xiaofeng Wang ◽  
Yajiang Yin ◽  
Fang Yi ◽  
Keren Dai ◽  
Simiao Niu ◽  
...  

2017 ◽  
Vol 28 (15) ◽  
pp. 2023-2035 ◽  
Author(s):  
Tarcísio Marinelli Pereira Silva ◽  
Carlos De Marqui

Piezoelectric materials have been used as sensors and actuators in vibration control problems. Recently, the use of piezoelectric transduction in vibration-based energy harvesting has received great attention. In this article, the self-powered active vibration control of multilayered structures that contain both power generation and actuation capabilities with one piezoceramic layer for scavenging energy and sensing, another one for actuation, and a central substructure is investigated. The piezoaeroelastic finite element modeling is presented as a combination of an electromechanically coupled finite element model and an unsteady aerodynamic model. An electrical circuit that calculates the control signal based on the electrical output of the sensing piezoelectric layer and simultaneously energy harvesting capabilities is presented. The actuation energy is fully supplied by the harvested energy, which also powers active elements of the circuit. First, the numerical predictions for the self-powered active vibration attenuation of an electromechanically coupled beam under harmonic base excitation are experimentally verified. Then, the performance of the self-powered active controller is compared to the performance of a conventional active controller in another base excitation problem. Later, the self-powered active system is employed to damp flutter oscillations of a plate-like wing.


2020 ◽  
Vol 8 (42) ◽  
pp. 22257-22268
Author(s):  
Manisha Sahu ◽  
Venkateswaran Vivekananthan ◽  
Sugato Hajra ◽  
Abisegapriyan K S ◽  
Nirmal Prashanth Maria Joseph Raj ◽  
...  

Improved energy harvesting performance in triboelectric nanogenerator using piezoelectric polarization for self-powered IR signaling and body activity monitoring.


Sign in / Sign up

Export Citation Format

Share Document