4.6 Article

Snap-through energy harvester with buckled mechanism and hierarchical auxetic structures for ultra-low-frequency rotational excitations

Journal

APPLIED PHYSICS LETTERS
Volume 122, Issue 9, Pages -

Publisher

AIP Publishing
DOI: 10.1063/5.0137624

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This study presents a snap-through energy harvester to overcome the energy output bottleneck of ultra-low-frequency (<1 Hz) rotational energy harvesting. The integration of a buckled mechanism and hierarchical auxetic structures enables enhanced power output and reduces the natural frequency of the system. Experimental results demonstrate a significant improvement in output power, making the proposed harvester suitable for low-power sensors and structural health monitoring of wind turbine blades at ultra-low rotational frequencies.
In this Letter, a snap-through energy harvester is proposed to break through the energy output bottleneck of ultra-low-frequency (<1 Hz) rotational energy harvesting. On one hand, a buckled mechanism provides large-amplitude snap-through motion that enhances the output power. On the other hand, the hierarchical auxetic structures enable the simultaneous operation of d 31 and d 32 modes of piezoelectric buzzers and boosts the energy harvested. Moreover, both the buckled mechanism and auxetic structures can reduce the fundamental natural frequency of the total system. A finite element model is established to predict the harvester performances, which are validated via experiments. Experimental results show that the integration of the buckled mechanism and auxetic structures can improve the output power by 3224.75% at 0.5 Hz. Specifically, the proposed harvester can achieve an output power of 146.2 mu W and a normalized power density of 1.392 mu W/mm(3) Hz(2) at 0.5 Hz, which are superior to other state-of-the-art rotational piezoelectric energy harvesters. Therefore, the proposed harvester can provide sufficient energy for low-power sensors at ultra-low rotational frequencies and has a great application potential in the structural health monitoring of wind turbine blades.

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