A first principle based approach for prediction of tonal noise from isolated and installed propeller

Abstract

The following research work is being carried out as a part of the project L²INK which aims to combine the prediction of noise and local pollutant emissions in the conceptual design phase of small aircraft and advanced air mobility (AAM) vehicles. Among the specific project goals, a major achievement will be the development of very fast (reduced order) semi-empirical models that combine physics based and empirical findings via an AI model that can predict the installation noise emitted from propeller driven small aircraft. This paper focuses on predicting the propeller installation noise for different arrangements of the propeller on board of general aviation (GA) concepts. As first steps, sensitivity studies and validation and verification of the chosen numerical simulation approaches have been performed which will help to generate a large training data set for the AI model. This approach will ultimately be adapted to capture selected vehicles as proposed for the AAM. The aircraft chosen for this study is the DLR research aircraft, Dornier DO-228-101. Ground-based noise measurement data obtained from a dedicated flyover campaign performed in June 2022 in Cochstedt is used for validating the aeroacoustics results obtained from the simulation tools. At the current status of development, i.e. the propeller noise model from HANSON is used to verify the noise emissions calculated using UPM-APSIM for an isolated propeller configuration. Preliminary results show a good agreement between the presented method and the model of HANSON for isolated propellers.