Seesaw-structured triboelectric nanogenerator for scavenging electrical energy from rotational motion of mechanical systems

被引:24
作者
Qian, Jingui [1 ,2 ]
Wu, Xuan [1 ,2 ,3 ]
Kim, Dong-Su [1 ,2 ]
Lee, Dong-Weon [1 ,2 ]
机构
[1] Chonnam Natl Univ, Sch Mech Engn, MEMS, Gwangju 61186, South Korea
[2] Chonnam Natl Univ, Sch Mech Engn, Nanotechnol Lab, Gwangju 61186, South Korea
[3] JiangSu Univ, Sch Mech Engn, Zhenjiang 212013, Peoples R China
基金
新加坡国家研究基金会;
关键词
Triboelectric nanogenerator; Seesaw structure; Contact mechanism; Magnetically coupled; Rotational motion; GENERATOR; DESIGN; CELL;
D O I
10.1016/j.sna.2017.07.021
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study reports a seesaw-structured triboelectric nanogenerator (S-TENG) for efficiently harvesting electrical energy from rotational motion of mechanical systems. The designed S-TENG with two arms is comprised four contact-pair units with distinctly different triboelectric polarity materials. The generated electric power from the unique structure based on the seesaw system was double at every machine rotation cycle. A magnetically coupled contact mechanism was also utilized to reduce the wear of the polymer material. It was experimentally confirmed that the proposed design significantly improved the reliability and long-term stability in comparison with currently available TENG systems based on the sliding mechanism. In addition, micro-pyramid patterns were formed on the polymer surface to enhance the surface charge density. Through systematic experiments with a variety of operational conditions, an instantaneous maximum output power density of 13.86 W/m(2) was achieved at a rotation speed of 200 rpm under a constant magnetic field strength of 0.2 T. The S-TENG has been demonstrated as a direct power source to drive small electronic devices such as commercial LED arrays and to charge an energy storage unit. This study further expanded the potential applications of the S-TENG to realize the self powered wireless sensor nodes such as structural health and condition monitoring system. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:600 / 609
页数:10
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