The airflows generated by drones are fairly different from those arising for conventional aeronautical architectures. They are low Mach number, relatively low Reynolds number and transient regimes play a dominant role. The goals of this work are twofold. This study firstly seeks to
present an aeroacoustic model built on Pierce's wave equation, which is adapted to the specificity of this physic, and which is consistent and robust. The second part of this contribution then focuses on the use and the validation of a high-order highly scalable solver relying on an open source
C++ library to solve the large scales of the flow turbulence by means of an explicit filtering. The flow corresponding to a benchmarked Re = 5 · 104 airfoil in full stall is computed and results are briefly discussed.