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Proceedings Paper

An investigation on vibration energy harvesting using nonlinear dynamic principles inspired by trees
Author(s): R. L. Harne; A. Sun; K. W. Wang
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Paper Abstract

Trees exploit intriguing mechanisms such as multimodal frequency distributions and nonlinearities to distribute and dampen the aerodynamically-induced vibration energies to which they are subjected. In dynamical systems, these mechanisms are comparable to the internal resonance phenomenon. In recent years, researchers have harnessed strong nonlinearities, including internal resonance, to induce energetic dynamics that enhance performance of vibration energy harvesting systems. For trees, the internal resonance-like dynamics are evidently useful damping mechanisms in spite of the high variation associated with excitation and structural parameters. Yet for dynamic systems, studies show narrow operating regimes which exhibit internal resonance-based behaviors, suggesting that the energetic dynamics may be deactivated if stochastic inputs corrupt ideal excitation properties. To address these issues, this research evaluates the opportunities enabled by exploiting nonlinear, multimodal motions in an L-shaped energy harvester platform. The system dynamics are probed analytically, numerically, and experimentally for comprehensive insights on the versatility of internal resonance-based behaviors for energy harvesting. It is found that although activating the high amplitude nonlinear dynamics to enhance power generation is robust to significant additive noise in the harmonic excitations, parameter sensitivities may pose practical challenges in application. Discussion is provided on means to address such concerns and on future strategies that may favorably exploit nonlinearity and multimodal dynamics for robust energy harvesting performance.

Paper Details

Date Published: 2 April 2015
PDF: 14 pages
Proc. SPIE 9431, Active and Passive Smart Structures and Integrated Systems 2015, 94310L (2 April 2015); doi: 10.1117/12.2083115
Show Author Affiliations
R. L. Harne, Univ. of Michigan (United States)
A. Sun, Univ. of Michigan (United States)
K. W. Wang, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 9431:
Active and Passive Smart Structures and Integrated Systems 2015
Wei-Hsin Liao, Editor(s)

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