Five-axis bimorph monolithic nanopositioning stage: Design, modeling, and characterization

Omidbeike, Meysam; Moore, Steven Ian; Yong, Yuen Kuan; Fleming, Andrew J.

doi:10.1016/j.sna.2021.113125

Cited by 4 publications

(1 citation statement)

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“…In addition, piezoelectric energy harvesters possess the advantages, such as high electromechanical coupling, no external voltage source requirement, and the ease of implementation in MEMS and nanosystems. Previous research included designing various devices suitable for converting ambient vibration energy into electrical power (Omidbeike et al, 2021; Rezaeisaray et al, 2015; Wang and Shi, 2017; Wang et al, 2015); developing new materials for enhancing electromechanical coupling (Mathers et al, 2009; Sorayani Bafqi et al, 2015); and optimizing energy harvesting circuits for maximum power transfer to the load (Brenes et al, 2020; Liang and Liao, 2012; Shu et al, 2007). At present, the design for optimal power according to the characteristics of environmental vibration sources and the establishment of an electromechanical coupling model of piezoelectric energy harvester are still difficult problems to be solved.…”

Section: Introductionmentioning

confidence: 99%

System-level modeling and design method of an array of piezoelectric energy harvesters under typical ambient vibration

Zhang

Xiang

Deng

et al. 2022

Journal of Intelligent Material Systems and Structures

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Vibration-based piezoelectric energy harvesting has received significant attention recently due to its ability to convert vibration energy from the surrounding environment into electric energy to power wireless sensors. In this work, two typical types of vibration sources, that is, engine-induced floor vibration and train-induced bridge vibration, are considered. The array of piezoelectric energy harvesters (PEHs) is adopted to harvest the energy of vibration with different frequencies. The aim of this work is to give a stable system-level modeling method and present a method to select operating point for designing energy harvesters connected with nonlinear energy harvesting circuits under complex excitations. The system-level modeling method is based on Krylov’s subspace model order reduction algorithm. With the help of this method, the harvester can be modeled using conventional finite element software and co-simulated with nonlinear circuits at a system-level. The proposed method is validated using equivalent circuit method, equivalent impedance method and experiment results, and then employed to investigate the performances of harvesters under typical real vibrations. Finally, design suggestions for PEHs under different types of vibration sources are presented.

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