Parallelization of Rotor Noise Prediction

Accurate and efficient rotor noise prediction is critical for the design and operation of electric Vertical Takeoff and Landing (eVTOL) aircraft within Advanced Air Mobility (AAM) frameworks. These multi-rotor vehicles introduce complex aerodynamic interactions and increased computational demands for acoustic analysis, especially across full flight trajectories and multiple observer locations. A parallel computing approach to Farassat’s Formulation 1A of the Ffowcs Williams-Hawkings (FW-H) equation is developed. The algorithm exploits the linearity of the FW-H equation to parallelize calculations across observers, time, and source surfaces using the Message Passing Interface (MPI). Performance results show significant reductions in runtime without compromising accuracy, enabling scalable noise prediction for modern eVTOL configurations and flight path planning.