| Issue |
MATEC Web Conf.
Volume 286, 2019
14th Congress of Mechanics (CMM2019)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 3 | |
| Section | Dynamics, Vibrations and Acoustics | |
| DOI | https://doi.org/10.1051/matecconf/201928601003 | |
| Published online | 14 August 2019 | |
Nonlinear multimodal electromagnetic device for vibration energy harvesting
1
Univ. Bourgogne Franche-Comté, FEMTO-ST Institute, CNRS/UFC/ENSMM/UTBM, Department of Applied Mechanics, 25000 Besançon, France.
2
Univ. Sfax, National Engineering School of Sfax, Research Laboratory of Mechanics Modeling and Production, 3038 Sfax, Tunisia.
A multimodal vibration energy harvesting in a periodic system is proposed. The multimodal approach and the nonlinearity are implemented in order to improve the performances of the studied device. The periodic system, based on electromagnetic transduction, consists of two weakly coupled magnets mechanically guided by two elastic beams. The quasi-periodic system is obtained by varying the mass of one of the moving magnets which leads to the vibration energy localization in regions close to the imperfections. This phenomenon is exploited to maximize the harvested energy. The mechanical nonlinearity is introduced by considering large displacements of the beams. The system is modeled by two coupled forced Duffing equations. The governing equations are solved using finite difference method combined with arc-length method. It is shown that the introduction of the nonlinearity leads to the enlargement of the bandwidth and the increase of the amplitude of the vibration.
Key words: Vibration energy harvesting / multimodal method / energy localization / nonlinearity / quasi-periodic structure.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.