Noise modelling of wing-in-junction flows

Abstract

It is important to be able to accurately model the flow and noise generated by wing-in-junction flows because of the many engineering applications in which these flows occur. An incompressible Reynolds-averaged Navier-Stokes (RANS) simulation of a wing-in-junction flow test case was used with a combination of statistical and semianalytical acoustic models to predict the far-field noise. These noise predictions were compared with experimental measurements taken in an anechoic wind tunnel. The RANS-based noise prediction models were found to achieve good agreement with experimental data.