Research Areas

In drone propulsion research, understanding both the flow structures around the rotor blades and the resulting acoustic emissions is essential for achieving optimal aerodynamic performance and reduced noise output. While previous studies have largely focused on overall thrust and blade efficiency, recent advances in diagnostics enable more detailed investigation into wake dynamics and noise mechanisms.

In this study, particle image velocimetry (PIV) was employed to visualize the downstream wake flow, capturing time-resolved velocity fields and elucidating key features such as vortex formation and interaction. Concurrently, noise measurements were conducted in an anechoic chamber to accurately quantify acoustic signatures under controlled conditions. By correlating these flow structures with the measured noise data, this work provides a comprehensive understanding of how design modifications—including the integration of metastructures in rotor blades and liners—can enhance aerodynamic performance while mitigating noise.