2019
DOI: 10.3390/s19153247
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Design of the Squared Daisy: A Multi-Mode Energy Harvester, with Reduced Variability and a Non-Linear Frequency Response

Abstract: With the rise of the Internet of Things (IoT) and the ever-increasing number of integrated sensors, the question of powering these devices represents an additional challenge. The traditional approach is to use a battery; however, harvesting energy from the environment seems to be the most practical approach. To that end, the use of piezoelectric MEMS energy has been proven as a potential power source in a wide range of applications. In this work, a proof of concept for a new architecture for MEMS energy harves… Show more

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Cited by 16 publications
(9 citation statements)
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“…As marked in Figure 5 , the deflection of the central mass was considered as the measurement point. The deflection measurements of the free cantilevers will yield a similar response with a higher velocity due to the increased degree of freedom of such cantilevers, as shown in [ 27 ]. This can also be directly observed using the measurement of the mode shape of both variants presented in Appendix A .…”
Section: Resultsmentioning
confidence: 99%
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“…As marked in Figure 5 , the deflection of the central mass was considered as the measurement point. The deflection measurements of the free cantilevers will yield a similar response with a higher velocity due to the increased degree of freedom of such cantilevers, as shown in [ 27 ]. This can also be directly observed using the measurement of the mode shape of both variants presented in Appendix A .…”
Section: Resultsmentioning
confidence: 99%
“…its nonlinear behavior. This architecture was presented for the realization of a MEMS piezoelectric VEH in [ 27 ]. The SD structure can be partially simplified to the weighted string structure, as it consists of a central proof mass acting as the weight suspended by a predefined number of cantilevers of varying cross-sections, as shown in Figure 2 .…”
Section: Design and Micro-fabrication Processmentioning
confidence: 99%
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