2019
DOI: 10.3390/jmse7030068
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The Hydrodynamic Noise Suppression of a Scaled Submarine Model by Leading-Edge Serrations

Abstract: High hydrodynamic noise is a threat to the survival of underwater vehicles. We investigated a noise suppression mechanism by putting leading-edge serrations on the sail hull of a scaled SUBOFF model, through numerical calculation and an experimental test. We found that the cone shape of leading-edge serrations can decrease the intensity of the adverse pressure gradient and produce counter-rotation vortices, which destroy the formation of the horseshoe vortex and delay the tail vortex. To achieve the optimum hy… Show more

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Cited by 10 publications
(7 citation statements)
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“…The LES_WALE and Ffowcs William Hawking models are versatile and widely used in aeroacoustics simulation. They can be applied in various applications such as aircraft noise [32,33], wind turbine [34][35][36], automotive noise [37], and underwater acoustic [38][39][40][41].…”
Section: Methodsmentioning
confidence: 99%
“…The LES_WALE and Ffowcs William Hawking models are versatile and widely used in aeroacoustics simulation. They can be applied in various applications such as aircraft noise [32,33], wind turbine [34][35][36], automotive noise [37], and underwater acoustic [38][39][40][41].…”
Section: Methodsmentioning
confidence: 99%
“…Leading-edge serrated structures in underwater vehicles are pivotal in reducing flow noise. Liu et al [190] investigated the hydrodynamic noise suppression mechanism by integrating leading-edge serrated structures into the SUBOFF model's sail shell, using both numerical simulations and experimental testing. Figure 18 shows the structures of leading-edge serrations in both owl wings and the sail hull.…”
Section: Applications Of Biomimetic Noise Reductionmentioning
confidence: 99%
“…Hydrodynamic noise is one of three major noises of underwater vehicles, and studying and controlling it are important [1][2][3][4][5][6][7][8][9][10]. The hydrodynamic noise is mainly caused by the velocity and pressure fluctuation in turbulent flow.…”
Section: Introduction and Principle Headingsmentioning
confidence: 99%