Comparison of analytical semi-empirical model for jet-noise prediction

Paper presented at ICAS 2022

The jet noise generation problem has been the subject of studies since the early 1950s, with the introduction of turbojets in commercial aircraft. Reduction of pollutants and noise motivated research efforts to predict and control the jet noise. The development of fast calculation tools for jet noise prediction could be a crucial factor in the design of high-speed aircraft. The main part of this work concerns the implementation of the James R. Stone’s model, developed by Modern Technologies Corporation (MTC) for the National Aeronautics and Space Administration (NASA), in a modern numerical environment. Then a validation trough reproduction of test cases found in literature has been carried out, with a comparison between an early version of the model from 1983 and a newest version from 2009 published references.