Paper
2 April 2015 An investigation on vibration energy harvesting using nonlinear dynamic principles inspired by trees
R. L. Harne, A. Sun, K. W. Wang
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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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. L. Harne, A. Sun, and K. W. Wang "An investigation on vibration energy harvesting using nonlinear dynamic principles inspired by trees", Proc. SPIE 9431, Active and Passive Smart Structures and Integrated Systems 2015, 94310L (2 April 2015); https://doi.org/10.1117/12.2083115
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Cited by 2 scholarly publications.
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KEYWORDS
Energy harvesting

Signal to noise ratio

Stochastic processes

Nonlinear dynamics

Ferroelectric polymers

Wind energy

Motion models

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