Mr. Austin Fang Profile

Austin Fang

Student at Cornell Univ

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Proceedings Article | 10 April 2010 Paper

Self-powered smart blade: helicopter blade energy harvesting

Matthew Bryant, Austin Fang, Ephrahim Garcia

Proceedings Volume 7643, 764317 (2010) https://doi.org/10.1117/12.847310

KEYWORDS: Aerodynamics, Wind energy, Energy harvesting, Systems modeling, Motion models, Data modeling, Sensors, Complex systems, Sensing systems, Intelligence systems

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A novel energy harvesting device powered by aeroelastic flutter vibrations is proposed to generate power for embedded wireless sensors on a helicopter rotor blade. Such wireless sensing and on-board power generation system would eliminate the need for maintenance intensive slip ring systems that are required for hardwired sensors. A model of the system has been developed to predict the response and output of the device as a function of the incident wind speed. A system of coupled equations that describe the structural, aerodynamic, and electromechanical aspects of the system are presented. The model uses semi-empirical, unsteady, nonlinear aerodynamics modeling to predict the aerodynamic forces and moments acting on the structure and to account for the effects of vortex shedding and dynamic stall. These nonlinear effects are included to predict the limit cycle behavior of the system over a range of wind speeds. The model results are compared to preliminary wind tunnel tests of a low speed aeroelastic energy harvesting experiment.

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