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Analysis of bimorph piezoelectric beam energy harvesters using superconvergent element
- Source :
- Journal of Intelligent Material Systems and Structures. 30:2299-2313
- Publication Year :
- 2019
- Publisher :
- SAGE Publications, 2019.
-
Abstract
- Cantilever-based piezoelectric energy harvesters have been utilized as structures to extract mechanical energy from the ambient mechanical vibrations and transfer it into the electrical output. In this article, the performance of bimorph piezoelectric beam energy harvesters is investigated. The cantilever beam is modeled by using both Timoshenko and Euler–Bernoulli beam theories. The equations are discretized using the conventional finite element method and superconvergent element. Besides the high rate of convergence, easy switching between the above beam theories is enabled by such type of element. The current model is presented for a Timoshenko beam model, but it could as well be used for a Euler–Bernoulli beam model. In addition, voltage, current, and power frequency response functions for different ranges of load resistance varying from the short-circuit to open-circuit conditions are determined to reach the maximum values. Effects of the slenderness ratio and the required beam model based on the geometric properties of the piezoelectric energy harvesters are discussed in the final part of this study. The results show that only for smaller values of the slenderness ratio (below 5), it is necessary to model the beam using the Timoshenko assumptions; otherwise both beam theories provide approximately the same responses.
- Subjects :
- 0209 industrial biotechnology
Materials science
Cantilever
Piezoelectric beam
Mechanical Engineering
Acoustics
Bimorph
02 engineering and technology
Superconvergence
Piezoelectricity
Vibration
020303 mechanical engineering & transports
020901 industrial engineering & automation
0203 mechanical engineering
Physics::Accelerator Physics
General Materials Science
Energy (signal processing)
Mechanical energy
Subjects
Details
- ISSN :
- 15308138 and 1045389X
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- Journal of Intelligent Material Systems and Structures
- Accession number :
- edsair.doi...........555d1159d64ec7b8888a0dc8f343265c