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High-Fidelity Computational Aerodynamics of Multi-Rotor Unmanned Aerial Vehicles
Author(s) -
Patricia Ventura Diaz,
Steven Yoon
Publication year - 2018
Publication title -
2018 aiaa aerospace sciences meeting
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2018-1266
Subject(s) - aerodynamics , aerospace engineering , rotor (electric) , computer science , high fidelity , fidelity , aeronautics , automotive engineering , engineering , mechanical engineering , electrical engineering , telecommunications
High-fidelity Computational Fluid Dynamics (CFD) simulations have been carried out for several multi-rotor Unmanned Aerial Vehicles (UAVs). Three vehicles have been studied: the classic quadcopter DJI Phantom 3, an unconventional quadcopter specialized for forward flight, the SUI Endurance, and an innovative concept for Urban Air Mobility (UAM), the Elytron 4S UAV. The three-dimensional unsteady Navier-Stokes equations are solved on overset grids using high-order accurate schemes, dual-time stepping, and a hybrid turbulence model. The DJI Phantom 3 is simulated with different rotors and with both a simplified airframe and the real airframe including landing gear and a camera. The effects of weather are studied for the DJI Phantom 3 quadcopter in hover. The SUI Endurance original design is compared in forward flight to a new configuration conceived by the authors, the hybrid configuration, which gives a large improvement in forward thrust. The Elytron 4S UAV is simulated in helicopter mode and in airplane mode. Understanding the complex flows in multi-rotor vehicles will help design quieter, safer, and more efficient future drones and UAM vehicles.

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