Abstract—Subsonic flow air blade machines like UAV propellers generate intensive noise thus the prediction of acoustic impact, optimization of these machines in order to reduce the level of emitted noise is an urgent engineering task. Currently, the development of calculation methods for determining the amplitudes of pressure pulsations and noise characteristics by CFD-CAA methods is a necessary requirement for the development of computer-aided design methods for blade machines, where the determining factors are the accuracy and speed of calculations. The main objective is to provide industrial computer-aided design systems with a highly efficient domestic software to create optimal designs of UAV blade machines that provide a given level of pressure pulsations in the flow part and radiated noise. It comprises: 1) creation of a method for the numerical simulation of sound generation using the correct decomposition of the initial equations of hydrodynamics of a compressible medium and the selection of the source of sound waves in a three-dimensional definition, taking into account the rotation of blades and their interaction with the stator part of the UAV; 2) decomposition of the boundary conditions accounting pseudo-sound disturbances and the complex acoustic impedance at the boundaries of the computational domain 3) development of an effective SLAE solver for solving the acoustic-vortex equation in complex arithmetic (taking into account the boundary conditions in the form of complex acoustic impedance); 4) testing of a new method at all stages of development using experimental data on the generation of pressure pulsations and aerodynamic noise, including a propeller noise measurements.
Index Terms—UAV propeller, pressure pulsations, emitted noise, CFD-CAA method.
The authors are with Moscow Aviation Institute (National Research University, Russia (e-mail: irico.harmony@icloud.com, irico@hotmail.com, irico.harmony@gmail.com).
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Cite: Sergey Timushev, Alexey Yakovlev, and Dmitry Klimenko, "CFD-CAA Method for Prediction of Pseudosound and Emitted Noise in Quadcopter Propeller," International Journal of Modeling and Optimization vol. 12, no. 1, pp. 21-25, 2022.
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