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  4. Powering piezoelectric frequency up-converter with rotary magnetic forces for torque-sensing application
 
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Powering piezoelectric frequency up-converter with rotary magnetic forces for torque-sensing application

Journal
Mechanical Systems and Signal Processing
Journal Volume
220
Start Page
111626
ISSN
0888-3270
Date Issued
2024-11-01
Author(s)
Y.C. Lo
M.F. Lumentut
YI-CHUNG SHU  
DOI
10.1016/j.ymssp.2024.111626
DOI
10.1016/j.ymssp.2024.111626
URI
https://www.scopus.com/record/display.uri?eid=2-s2.0-85196428502&origin=resultslist
https://scholars.lib.ntu.edu.tw/handle/123456789/719854
Abstract
A piezoelectric frequency up-energy harvester (PFU-EH) utilizing an SECE circuit (synchronized electric charge extraction) is developed for torque-sensing application in rotating machinery. Development of an explicit theoretical model for the system with the PFU-EH, considering phase angle shifts and magnetic impulsive forces is proposed to formulate the frequency response equations for voltage and power outputs using Fourier analysis. In this study, harvesting electrical energy can be achieved through the magnetic force interaction between the cantilevered piezoelectric beam, which carries two attached magnets, and the compound rotating disk structure, also carrying two attached magnets. The compound rotating disk structure, composed of a metal ring (outer disk) and a flywheel (inner disk) connected by a spring system, can create a phase angle caused by an applied load. As a result, mechanical torque is formed for inducing magnetic excitation to the PFU-EH and subsequently generating an AC voltage signal. The functionality of the AC voltage harvested by the PFU-EH can be further leveraged for two primary benefits. First, it can be converted into DC voltage output using the SECE circuit, enhancing the effectiveness of the electric signal without requiring load matching under different modal vibrations. Second, the SECE harvesting voltage can simultaneously function as a sensing signal for detecting mechanical torque itself. The sensing signal detection process is further analyzed by applying feature extraction from the spectrogram and utilizing a 2D-CNN for auxiliary segment identification. Finally, the experimental results demonstrate reasonable agreement with the predicted outcomes.
Subjects
2D-CNN
Broadband energy harvesting
Frequency up-conversion
Magnetic excitation
Multifunctional piezoelectric device
SECE
SDGs

[SDGs]SDG7

Publisher
Elsevier BV
Type
journal article

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