The goal of this study is to develop a fast and accurate tool for the numerical prediction of broadband noise generated by low-Mach-number flow passing through ducted diaphragms. Experimental data are gathered by in-duct aeroacoustic measurements. Unsteady flow data is generated with Large Eddy Simulation, and alternatively the Stochastic Noise Generation and Radiation method. Building on these data sets, a variety of noise prediction techniques, including a direct approach as well as hybrid approaches, are implemented and validated.
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The goal of this study is to develop a fast and accurate tool for the numerical prediction of broadband noise generated by low-Mach-number flow passing through ducted diaphragms. Experimental data are gathered by in-duct aeroacoustic measurements. Unsteady flow data is generated with Large Eddy Simulation, and alternatively the Stochastic Noise Generation and Radiation method. Building on these data sets, a variety of noise prediction techniques, including a direct approach as well as hybrid app...
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