Bimorph piezoelectric vibration energy harvester with flexible 3D meshed-core structure for low frequency vibration
Autor: | Takaaki Suzuki, Takuya Tsukamoto, Sachie Shiomi, Kou Yamada, Yohei Umino |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Materials science
piezoelectric coupling analysis 020209 energy Acoustics lcsh:Biotechnology Low frequency vibration Bimorph 02 engineering and technology 202 Dielectrics/Piezoelectrics/Insulators Low frequency Energy harvester lcsh:TP248.13-248.65 0202 electrical engineering electronic engineering information engineering lcsh:TA401-492 General Materials Science PVDF Focus on Energy Harvesting - Science Technology Application and Metrology Vibration energy harvester 021001 nanoscience & nanotechnology Piezoelectricity Power (physics) Core (optical fiber) Vibration 206 Energy conversion/transport/storage/recovery 50 Energy materials lcsh:Materials of engineering and construction. Mechanics of materials piezoelectric low frequency 0210 nano-technology |
Zdroj: | Science and Technology of Advanced Materials, Vol 19, Iss 1, Pp 660-668 (2018) Science and Technology of Advanced Materials |
ISSN: | 1878-5514 1468-6996 |
Popis: | This paper proposes a bimorph piezoelectric vibration energy harvester (PVEH) with a flexible 3D meshed-core elastic layer for improving the output power while lowering the resonance frequency. Owing to the high void ratio of the 3D meshed-core structure, the bending stiffness of the cantilever can be lowered. Thus, the deflection of the harvester and the strain in the piezoelectric layer increase. According to vibration tests, the resonance frequency is 15.8% lower and the output power is 68% higher than in the conventional solid-core PVEH. Compared to the solid-core PVEH, the proposed meshed-core PVEH (10 mm × 20 mm × 280 μm) has 1.3 times larger tip deflection and the maximum output power is 24.6 μW under resonance condition at 18.7 Hz and 0.2G acceleration. Hence it can be used as a power supply for low-power-consumption sensor nodes in wireless sensor networks. Graphical Abstract |
Databáze: | OpenAIRE |
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