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  5. Self‐Powered Electrostatic Actuation Systems for Manipulating the Movement of both Microfluid and Solid Objects by Using Triboelectric Nanogenerator

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Article
en
2017

Self‐Powered Electrostatic Actuation Systems for Manipulating the Movement of both Microfluid and Solid Objects by Using Triboelectric Nanogenerator

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en
2017
Vol 27 (16)
Vol. 27
DOI: 10.1002/adfm.201606408

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Li Zheng
Yali Wu
Xiangyu Chen
+5 more

Abstract

By integrating a triboelectric nanogenerator (TENG) and an electrostatic actuation system (EAS), two kinds of self‐powered EAS are designed for manipulating the movement of both microfluid and tiny solid objects. The mechanical triggering of the TENG can generate an extremely high electrostatic field inside EAS and thus the tiny object (liquid or solid) in the EAS can be actuated by the Coulomb force. Accordingly, the tribomotion of TENG can be used as both the driving power and control signal for the EAS. The TENG device with a contact surface of 70 cm 2 can drive a water droplet to move across a gap of 2 cm. Meanwhile, the confluence of two droplets with the same charge polarity and different components can also be induced and controlled by this self‐powered EAS. In addition, based on the same working principle, this EAS also demonstrates its capability for manipulating solid object (e.g., a tiny steel pellet). By sliding the Kapton film along a segmented annular electrode, the tiny pellet can well follow the rotated motion of the Kapton film. The demonstrated concept of this self‐powered EAS has excellent applicability for various micro/miniature actuation devices, electromechanical systems, human–machine interaction, etc.

How to cite this publication

Li Zheng, Yali Wu, Xiangyu Chen, Aifang Yu, Liang Xu, Yongsheng Liu, Hexing Li, Zhong Lin Wang (2017). Self‐Powered Electrostatic Actuation Systems for Manipulating the Movement of both Microfluid and Solid Objects by Using Triboelectric Nanogenerator. , 27(16), DOI: https://doi.org/10.1002/adfm.201606408.

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Publication Details

Type

Article

Year

2017

Authors

8

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adfm.201606408

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