摩擦电效应
含氟聚合物
纳米发生器
材料科学
复合数
复合材料
电池(电)
纳米纤维
光电子学
纳米技术
功率(物理)
聚合物
压电
物理
量子力学
作者
Omar Faruk,M. Robiul Islam,SM Sohel Rana,Gagan Bahadur Pradhan,Hongseok Kim,Md Asaduzzaman,Trilochan Bhatta,Jae Yeong Park
出处
期刊:Nano Energy
[Elsevier]
日期:2024-05-24
卷期号:127: 109787-109787
被引量:2
标识
DOI:10.1016/j.nanoen.2024.109787
摘要
Since triboelectric nanogenerators (TENG) are receiving attention as a promising technology in the domain of self-powered sensors for human activity monitoring and human machine interfaces, significant research is being conducted to enhance their performance and reliability. Herein, a novel V2CTX@poly(vinylidene-fluoride-co-hexafluoropropylene) composite nanofibrous (VPCN) mat was developed as a highly electronegative and stable tribolayer to improve the overall triboelectric performance. An abundant presence of functional groups (-F, -O, and -OH) on the V2CTX surfaces enhanced electronegativity, while formation of micro-capacitor networks into the polymer matrix enhanced the dielectric property along with the electron-trapping capacity, which reduced charge loss. The fabricated VPCN-TENG coupled with polyethylene oxide (PEO) nanofibrous mat exhibited a peak power-density of 18.2 W/m2, which was 3.5-fold higher than the pristine PVDF-HFP nanofibers-based TENG. The remarkable electrical output of the VPCN-TENG facilitated the transformation of biomechanical energy from various human motions into electrical power capable of powering commercial electronics such as stopwatches and thermo-hygrometers. Furthermore, the VPCN-TENG was successfully demonstrated as a self-powered pressure sensor with an extraordinary sensitivity of 25.17 VkPa-1 (1-42 kPa). In addition, the VPCN-TENG was used to fabricate a smart-belt as a self-powered motion sensor for monitoring various human activities such as walking, running, jumping, and posture monitoring during sitting and cycling. These findings offer valuable insights for designing high-performance TENG, fostering development of self-sustainable wearable electronics and advancements in self-powered sensors.
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