2022
DOI: 10.1080/19942060.2022.2042392
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Aerodynamic noise prediction of a high-speed centrifugal fan considering impeller-eccentric effect

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Cited by 8 publications
(2 citation statements)
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“…Liu et al 16 merged deep neural networks and genetic algorithms to predict axial fan performance.Jin et al 17 applied the Sobol method to optimize large axial fan exit guide vanes, significantly reducing fan noise. Safikhani et al 18 employed polynomial neural networks to enhance centrifugal pump design, validated through experiments and CFD simulations.Ren et al 19 analyzed centrifugal fan aerodynamic noise via the DES/FEM method, providing effective numerical simulation for actual conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Liu et al 16 merged deep neural networks and genetic algorithms to predict axial fan performance.Jin et al 17 applied the Sobol method to optimize large axial fan exit guide vanes, significantly reducing fan noise. Safikhani et al 18 employed polynomial neural networks to enhance centrifugal pump design, validated through experiments and CFD simulations.Ren et al 19 analyzed centrifugal fan aerodynamic noise via the DES/FEM method, providing effective numerical simulation for actual conditions.…”
Section: Introductionmentioning
confidence: 99%
“…The noise of gas turbines has always been one of the important problems in the improvement of gas turbines. The noise of gas turbines is mainly the highfrequency aerodynamic noise caused by the gas flowing [2] and the low-frequency mechanical noise caused by mechanical vibration. Mechanical noise is the radiation result of mechanical vibrations in the air containing important information about the operating status of gas turbines, such as rotational speed, amplitude, etc.…”
Section: Introductionmentioning
confidence: 99%