A distributed parameter electromechanical model for bimorph piezoelectric energy harvesters based on the refined zigzag theory
In this paper, a distributed parameter electromechanical model for bimorph piezoelectric energy harvesters based on the refined zigzag theory (RZT) is developed. In this model, the zigzag function is incorporated into the axial displacement, and the zigzag distribution of the displacement between th...
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Published in | Smart materials and structures Vol. 27; no. 4; pp. 45009 - 45026 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
IOP Publishing
01.04.2018
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Subjects | |
Online Access | Get full text |
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Summary: | In this paper, a distributed parameter electromechanical model for bimorph piezoelectric energy harvesters based on the refined zigzag theory (RZT) is developed. In this model, the zigzag function is incorporated into the axial displacement, and the zigzag distribution of the displacement between the adjacent layers of the bimorph structure can be considered. The governing equations, including three equations of motions and one equation of circuit, are derived using Hamilton's principle. The natural frequency, its corresponding modal function and the steady state response of the base excitation motion are given in exact forms. The presented results are benchmarked with the finite element method and two beam theories, the first-order shear deformation theory and the classical beam theory. Comparing examples shows that the RZT provides predictions of output voltage and generated power at high accuracy, especially for the case of a soft middle layer. Variation of the parameters, such as the beam thickness, excitation frequencies and the external electrical loads, is investigated and its effects on the performance of the energy harvesters are studied by using the RZT developed in this paper. Based on this refined theory, analysts and engineers can capture more details on the electromechanical behavior of piezoelectric harvesters. |
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Bibliography: | SMS-105914.R1 |
ISSN: | 0964-1726 1361-665X |
DOI: | 10.1088/1361-665X/aaa725 |