03.1 - Aerodynamics – CFD Methods and Validation

PREDICTION OF PROPELLER NOISE IN LOW REYNOLDS NUMBER OPERATION USING MACHINE LEARNING MODELS

M. de Rosa Jacinto¹, D. Skrna¹, M. Berens¹; ¹Technische Universität Wien, Austria

Propeller noise is one of the main challenges for the social acceptance of Advanced Air Mobility aircraft. High-fidelity simulations are time- and cost-intensive, making them unsuitable for early design stages. This study aims to assess the potential of Machine Learning models to predict propeller noise using high-fidelity simulations and experimental data for training.

View Paper

DOI: 10.71945/icas2026_0196