Urban air mobility (UAM) aims to transform transportation in metropolitan regions by providing a secure, efficient, and convenient on-demand air travel system for both passengers and cargo, thereby revolutionizing the emerging aviation market and improve mobility in cities by overcoming traffic congestions and offering the potential for greener and faster mobility solutions.
Although there are many advantages, a main issue concerns the noise emissions of eVTOL aircraft, which lead to a high degree of annoyance. Until now, the aeroacoustic optimization has been performed for stationary conditions, but little has been done considering transient maneuvers.
Drone propeller flowfield predicted by VPM (FLOWUnsteady).
For this reason, the objective of this research is to correctly predict the noise emissions of eVTOL during maneuvers using low and mid fidelity methods, such as VPM (Vortex Particle Method), to include a maneuver optimization process in the preliminary design phase of such vehicles.