Wearable triboelectric nanogenerator with micro-topping structures via material jet printing method

With the development of human-machine interactions, human healthcare monitoring and Internet of Things, it is of vital importance to explore revolutionary fabrication methods to provide sustainable and flexible energy harvesters for massive personnel information. In this work, we developed the micro...

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Bibliographic Details
Published inNano energy Vol. 114; p. 108650
Main Authors Li, Hui, Dong, Xiaoran, Jiang, Hongwei, Qian, Rongzhen, Wu, Bo, Liu, Bin, Jiang, Lelun, Tang, Yong, Ding, Xinrui
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.09.2023
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Summary:With the development of human-machine interactions, human healthcare monitoring and Internet of Things, it is of vital importance to explore revolutionary fabrication methods to provide sustainable and flexible energy harvesters for massive personnel information. In this work, we developed the micro-topping structures enhanced triboelectric nanogenerator (MT-TENG) via unique jet printing method with the advantages of high precision, high efficiency and excellent uniformity. Regular micro-topping structure array could be tuned conveniently and rapidly through adjusting the ink properties, printing parameters and substrate characteristics in jet printing process. The results show that with micro-topping structures, TENG has high specific surface for contact electrification. MT-TENG can be applied in the real-time monitoring and self-powered sensing of body physiological signal and human joint movement. This work provides a previously unexplored strategy for shortening individual design cycle and promoting the practicality of TENG in mass manufacturing, and also possess a potential application of wearable electronics and healthcare monitoring system. [Display omitted] •Micro-topping structure array was proposed based on the jet printing method.•Surface microstructures and output performance of MT-TENG were studied.•MT-TENG is a promising candidate for real-time monitoring of body physiological signal and human joint movement.
ISSN:2211-2855
DOI:10.1016/j.nanoen.2023.108650