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Simulation of Aeroelastic Instabilities to Evaluate the Power Output of Flutter-based Electromagnetic Energy Harvesters

 Simulation of Aeroelastic Instabilities to Evaluate the Power Output of Flutter-based Electromagnetic Energy Harvesters
Author(s): , ORCID
Presented at IABSE Conference: Bridges and Structures Sustainability - Seeking Intelligent Solutions, Guangzhou, China, 8-11 May 2016, published in , pp. 514-521
DOI: 10.2749/222137816819258852
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The unstable vibration of flexible T-shaped cantilever systems due to the aeroelastic instability phenomena like flutter can be used as an effective input source for small-scale energy harvesting. ...
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Bibliographic Details

Author(s):
ORCID
Medium: conference paper
Language(s): English
Conference: IABSE Conference: Bridges and Structures Sustainability - Seeking Intelligent Solutions, Guangzhou, China, 8-11 May 2016
Published in:
Page(s): 514-521 Total no. of pages: 8
Page(s): 514-521
Total no. of pages: 8
Year: 2016
DOI: 10.2749/222137816819258852
Abstract:

The unstable vibration of flexible T-shaped cantilever systems due to the aeroelastic instability phenomena like flutter can be used as an effective input source for small-scale energy harvesting. The extracted environmental energy of a vibrating system can be converted into electrical power using an electromagnetic transducer. The paper presents a two-dimensional fully coupled CFD solverfor simulatingthe flutter induced vibration ofa T-shaped prototypeharvester to model the power output numerically. A flow solver based on Vortex Particle Method and a structural solver using Finite Element formulationsare coupledefficiently to model the unstable vibration of the cantilever harvester.Theoretically, a structural systembecomes unstable and exhibits flutter phenomena when the negative aerodynamic damping exceeds the total system damping. However, for electromagnetic harvester, the total system damping is the sum of the mechanical damping and the additional electrical damping from electromagnetic transducer. The CFD simulations are performed to find the critical onset flutter wind speed and the results are compared with wind tunnel test results for model validation. The critical electrical load resistances for onset of flutter are also identified for different wind speeds and compared withthe wind tunnel results. Finally, the voltage and power output of the harvester under different wind speeds and electrical load resistances are modeled, compared and modifications on the harvester system are done to increase power output.

Keywords:
structural health monitoring sensor energy harvesting Flutter vibration Vibration energy Vortex Particle Methods