Modeling the Turbulence Spectrum Dissipation Range for Leading-Edge Noise Prediction

Noise pollution caused by inflow turbulence is a major problem in many applications, e.g., propellers and fans. The Amiet leading-edge noise prediction model widely applied the design of silent fans, strongly relying on accuracy spectrum. von Kármán energy spectrum accurately models energy-containing range inertial subrange However, this does not incorporate dissipation turbulent leads to incorrect far-field estimates high-frequency range. In study, empirical formulations are presented for frequency based experimental data. Two passive grids were used generate nearly isotropic turbulence, which was characterized hot-wire anemometry. These results showed that depends intensity velocity fluctuations freestream velocity. expressions proposed predict had fairly good agreement with measured data research from literature. predicted significantly affected range, causing decrease level up 17 dB highest frequencies.