Loading...
Thumbnail Image
Item

Magnetically levitated autoparametric broadband vibration energy harvesting

Kurmann, Lukas
Jia, Yu
Manoli, Yiannos
Woias, Peter
Citations
Altmetric:
Advisors
Editors
Other Contributors
EPub Date
Publication Date
2016-12-06
Submitted Date
Other Titles
Abstract
Some of the lingering challenges within the current paradigm of vibration energy harvesting (VEH) involve narrow operational frequency range and the inevitable non-resonant response from broadband noise excitations. Such VEHs are only suitable for limited applications with fixed sinusoidal vibration, and fail to capture a large spectrum of the real world vibration. Various arraying designs, frequency tuning schemes and nonlinear vibratory approaches have only yielded modest enhancements. To fundamentally address this, the paper proposes and explores the potentials in using highly nonlinear magnetic spring force to activate an autoparametric oscillator, in order to realize an inherently broadband resonant system. Analytical and numerical modelling illustrate that high spring nonlinearity derived from magnetic levitation helps to promote the 2:1 internal frequency matching required to activate parametric resonance. At the right internal parameters, the resulting system can intrinsically exhibit semi-resonant response regardless of the bandwidth of the input vibration, including broadband white noise excitation.
Citation
Kurmann, L., Jia, Y., Manoli, Y. & Woias, P. (2016). Magnetically levitated autoparametric broadband vibration energy harvesting. Journal of Physics Conference Series, 773(1).
Publisher
IOP Publishing
Journal
Journal of Physics: Conference Series
Research Unit
PubMed ID
PubMed Central ID
Type
Article
Language
en
Description
This document is the Accepted Manuscript version of a published work that appeared in final form in Journal of Physics: Conference Series. To access the final edited and published work see http://dx.doi.org/10.1088/1742-6596/773/1/012006
Series/Report no.
ISSN
1742-6588
EISSN
1742-6596
ISBN
ISMN
Gov't Doc
Test Link
Sponsors
Embedded videos