4D-printed self-recovered triboelectric nanogenerator for energy harvesting and self-powered sensor

Long Biao Huang; Jian Cheng Han; Shaojun Chen; Zhenhua Sun; Xingyi Dai; Penghui Ge; Cheng Han Zhao; Qiu Qun Zheng; Fu Chun Sun; Jianhua Hao

doi:10.1016/j.nanoen.2021.105873

4D-printed self-recovered triboelectric nanogenerator for energy harvesting and self-powered sensor

Long Biao Huang, Jian Cheng Han, Shaojun Chen, Zhenhua Sun, Xingyi Dai, Penghui Ge, Cheng Han Zhao, Qiu Qun Zheng, Fu Chun Sun, Jianhua Hao

Research output: Journal article publication › Journal article › Academic research › peer-review

37 Citations (Scopus)

Abstract

Based on the triboelectrification and electrostatic induction, triboelectric nanogenerators (TENGs) have already expanded many applications ranging from ambient mechanical energy harvesting to self-powered sensors. Diverse advanced techniques have been utilized to fabricate various devices to fulfill those applications. To further develop the wide utilization of TENGs, we introduce 4D printing technology to fabricate the transparent self-recovered TENGs, which not only provide excellent self-recoverability of device performance and improve the robustness of device structure, but also open a path to fabricate complicated structure through computer design with no need of any molds. The printed devices have the capabilities of harvesting mechanical energy with maximum output power density of 56 mW/m² as well as detecting the bending angles of human joints as self-powered sensor. The self-recoverability is originated from shape memory polymer (SMP) under thermal treatment. Therefore, the self-recovered TENGs based on 4D printing technology may offer great potential in energy harvesting and self-powered sensors for human-robot cooperation in sensing and control of robot in need of sophisticated and precise structures.

Original language	English
Article number	105873
Journal	Nano Energy
Volume	84
DOIs	https://doi.org/10.1016/j.nanoen.2021.105873
Publication status	Published - Jun 2021

Keywords

4D printing technology
Self-powered sensor
Shape memory polymer
Triboelectric nanogenerators

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Materials Science(all)
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1016/j.nanoen.2021.105873

http://hdl.handle.net/10397/95688

Cite this

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title = "4D-printed self-recovered triboelectric nanogenerator for energy harvesting and self-powered sensor",

abstract = "Based on the triboelectrification and electrostatic induction, triboelectric nanogenerators (TENGs) have already expanded many applications ranging from ambient mechanical energy harvesting to self-powered sensors. Diverse advanced techniques have been utilized to fabricate various devices to fulfill those applications. To further develop the wide utilization of TENGs, we introduce 4D printing technology to fabricate the transparent self-recovered TENGs, which not only provide excellent self-recoverability of device performance and improve the robustness of device structure, but also open a path to fabricate complicated structure through computer design with no need of any molds. The printed devices have the capabilities of harvesting mechanical energy with maximum output power density of 56 mW/m2 as well as detecting the bending angles of human joints as self-powered sensor. The self-recoverability is originated from shape memory polymer (SMP) under thermal treatment. Therefore, the self-recovered TENGs based on 4D printing technology may offer great potential in energy harvesting and self-powered sensors for human-robot cooperation in sensing and control of robot in need of sophisticated and precise structures.",

keywords = "4D printing technology, Self-powered sensor, Shape memory polymer, Triboelectric nanogenerators",

author = "Huang, {Long Biao} and Han, {Jian Cheng} and Shaojun Chen and Zhenhua Sun and Xingyi Dai and Penghui Ge and Zhao, {Cheng Han} and Zheng, {Qiu Qun} and Sun, {Fu Chun} and Jianhua Hao",

note = "Funding Information: The research was financially supported by the National Natural Science Foundation of China through grants ( 51973119 ), the Natural Science Foundation of Guang Dong Province ( 2018A0303130060 and 2019A1515011566 ), Guangdong Natural Science Foundation under Grant ( 2019B1515120042 ), the Science and Technology Innovation Commission of Shenzhen City ( JCYJ20170818101245583 ). Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",

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AU - Huang, Long Biao

AU - Han, Jian Cheng

AU - Chen, Shaojun

AU - Sun, Zhenhua

AU - Dai, Xingyi

AU - Ge, Penghui

AU - Zhao, Cheng Han

AU - Zheng, Qiu Qun

AU - Sun, Fu Chun

AU - Hao, Jianhua

N1 - Funding Information: The research was financially supported by the National Natural Science Foundation of China through grants ( 51973119 ), the Natural Science Foundation of Guang Dong Province ( 2018A0303130060 and 2019A1515011566 ), Guangdong Natural Science Foundation under Grant ( 2019B1515120042 ), the Science and Technology Innovation Commission of Shenzhen City ( JCYJ20170818101245583 ). Publisher Copyright: © 2021 Elsevier Ltd

PY - 2021/6

Y1 - 2021/6

N2 - Based on the triboelectrification and electrostatic induction, triboelectric nanogenerators (TENGs) have already expanded many applications ranging from ambient mechanical energy harvesting to self-powered sensors. Diverse advanced techniques have been utilized to fabricate various devices to fulfill those applications. To further develop the wide utilization of TENGs, we introduce 4D printing technology to fabricate the transparent self-recovered TENGs, which not only provide excellent self-recoverability of device performance and improve the robustness of device structure, but also open a path to fabricate complicated structure through computer design with no need of any molds. The printed devices have the capabilities of harvesting mechanical energy with maximum output power density of 56 mW/m2 as well as detecting the bending angles of human joints as self-powered sensor. The self-recoverability is originated from shape memory polymer (SMP) under thermal treatment. Therefore, the self-recovered TENGs based on 4D printing technology may offer great potential in energy harvesting and self-powered sensors for human-robot cooperation in sensing and control of robot in need of sophisticated and precise structures.

AB - Based on the triboelectrification and electrostatic induction, triboelectric nanogenerators (TENGs) have already expanded many applications ranging from ambient mechanical energy harvesting to self-powered sensors. Diverse advanced techniques have been utilized to fabricate various devices to fulfill those applications. To further develop the wide utilization of TENGs, we introduce 4D printing technology to fabricate the transparent self-recovered TENGs, which not only provide excellent self-recoverability of device performance and improve the robustness of device structure, but also open a path to fabricate complicated structure through computer design with no need of any molds. The printed devices have the capabilities of harvesting mechanical energy with maximum output power density of 56 mW/m2 as well as detecting the bending angles of human joints as self-powered sensor. The self-recoverability is originated from shape memory polymer (SMP) under thermal treatment. Therefore, the self-recovered TENGs based on 4D printing technology may offer great potential in energy harvesting and self-powered sensors for human-robot cooperation in sensing and control of robot in need of sophisticated and precise structures.

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KW - Self-powered sensor

KW - Shape memory polymer

KW - Triboelectric nanogenerators

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4D-printed self-recovered triboelectric nanogenerator for energy harvesting and self-powered sensor

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

More information

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