Wavelet-based pressure decomposition for airfoil noise in low-Mach number flows

The paper applies a wavelet filtering method based on the recursive denoising algorithm to airfoil noise in low-Mach number flows. pressure field around is decomposed into coherent contributions corresponding denoised and incoherent background noise. data are obtained from Large-Eddy Simulations. Both flow acoustic solvers validated against experimental at zero angle of attack, Reynolds numbers, Re=3.2×105 4×105, Mach M=0.093 0.058, respectively. convergence trend statistical nature analyzed. Additionally, pressures examined by comparing wavelet-based decomposition with traditional wavenumber–frequency decomposition, spectral analyses conducted pressures. results show that represents physical phenomena associated hydrodynamic wavy structures moving along wall sound propagation generated near tripping region trailing edge. On other hand, or exhibits small constant amplitude closely adhering Gaussian distribution. Dynamic mode modes reveal this prominent trailing-edge regions where perturbations significant, but it either barely propagates far dissipates quickly. far-field spectrum predominantly influenced component. However, cautious interpretation necessary high-frequency range, still contributes explores potential applications identifying removing