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Predicting Quadcopter Drone Noise Using the Lattice Boltzmann Method

Authors
  • Jensen, James
  • Barad, Michael
  • Kiris, Cetin
  • Cadieux, Francois
Publication Date
Nov 17, 2019
Source
NASA Technical Reports Server
Keywords
License
Unknown

Abstract

The market for new vertical takeoff and landing vehicles, including autonomous urban air taxis and drones for applications such as package delivery, imaging, and surveillance, is growing rapidly. However, aerodynamic noise continues to be the biggest roadblock to community acceptance and adoption. To predict the aerodynamic noise generated by an isolated quadcopter drone, derived from from first principles, we used the Lattice Boltzmann flow solver within NASAs Launch Ascent and Vehicle Aerodynamics (LAVA) solver framework. The solvers computational efficiency, and the complete absence of labor-intensive manual volume mesh generation in the workflow, are key to making routine aeroacoustic analysis of urban air taxis and drones from first principles possible.

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