Rotary bistable and Parametrically Excited Vibration Energy Harvesting

Abstract

Parametric resonance is a type of nonlinear vibration phenomenon [1], [2] induced from the periodic modulation of at least one of the system parameters and has the potential to exhibit interesting higher order nonlinear behaviour [3]. Parametrically excited vibration energy harvesters have been previously shown to enhance both the power amplitude [4] and the frequency bandwidth [5] when compared to the conventional direct resonant approach. However, to practically activate the more profitable regions of parametric resonance, additional design mechanisms [6], [7] are required to overcome a critical initiation threshold amplitude. One route is to establish an autoparametric system where external direct excitation is internally coupled to parametric excitation [8]. For a coupled two degrees of freedom (DoF) oscillatory system, principal autoparametric resonance can be achieved when the natural frequency of the first DoF f1 is twice that of the second DoF f2 and the external excitation is in the vicinity of f1. This paper looks at combining rotary and translatory motion and use autoparametric resonance phenomena.

Publication DOI: https://doi.org/10.1088/1742-6596/773/1/012007
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences
Additional Information: Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd
Publication ISSN: 1742-6596
Last Modified: 20 May 2024 07:29
Date Deposited: 13 Nov 2019 10:36
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Related URLs: https://iopscie ... 96/773/1/012007 (Publisher URL)
PURE Output Type: Conference article
Published Date: 2016-12-06
Accepted Date: 2016-01-01
Authors: Kurmann, Lukas
Jia, Yu (ORCID Profile 0000-0001-9640-1666)
Hoffmann, Daniel
Manoli, Yiannos
Woias, Peter

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