A Mid-Fidelity Numerical Framework for Efficient Prediction of Propeller-Wing Interaction Noise

Aerodynamic noise is an important design consideration for many aircraft, including Urban Air Mobility (UAM) systems that are expected to operate in particularly close proximity to people. This paper attempts to address the need for computationally efficient methods that can predict aerodynamic noise generated by complex aircraft configurations and inform early design decisions. We present a mid-fidelity framework based on coupling an source panel method-vortex particle method with a solid surface Ffowcs Williams-Hawkings method for farfield noise prediction. We first consider an isolated propeller benchmark case from Casalino et al. (2021) to validate our method against experimental and numerical results, and then we apply it to a simple propeller-wing interaction problem.