2019
DOI: 10.1007/s40857-018-00148-9
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Flow Noise Characteristics Analysis of Underwater High-Speed Vehicle Based on LES/FW-H Coupling Model

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Cited by 18 publications
(7 citation statements)
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“…With the development of the computer performance, both the calculation accuracy and speed have improved significantly. Computational Fluid Dynamics (CFD) is currently the most efficient method for analyzing the flow and flow-induced noise [49][50][51][52]. It is worh noting that the empirical model and assumption are used in the simulation process, so the experimental validation is essential.…”
Section: Numerical Simulation Studymentioning
confidence: 99%
“…With the development of the computer performance, both the calculation accuracy and speed have improved significantly. Computational Fluid Dynamics (CFD) is currently the most efficient method for analyzing the flow and flow-induced noise [49][50][51][52]. It is worh noting that the empirical model and assumption are used in the simulation process, so the experimental validation is essential.…”
Section: Numerical Simulation Studymentioning
confidence: 99%
“…Noise caused by underwater vehicles primarily includes mechanical noise generated by the vibration of mechanical structures and hydrodynamic noise generated by water flow radiation. In the case of no cavitation bubble in the flow field, the higher the sailing speed and the deeper the sailing depth, the higher the noise amplitude [13]. Nevertheless, through the occurrence of cavitation, the cavitation bubble cluster becomes the main source of hydrodynamic noise.…”
Section: Introductionmentioning
confidence: 99%
“…Li et al proposed a numerical simulation method that comprehensively considered dipole and quadrupole sources to predict aerodynamic noise [14]. Tu et al based on VOF multiphase flow and Schnerr-Sauer cavitation model, established LES/FW-H coupling model to study the noise characteristics of underwater high-speed vehicle [15]. Yang et al established a onedimensional computational fluid dynamics model integrating the intake/exhaust system and the engine based on a vehicle with an in-line four-cylinder engine, and predicted the intake noise [16].…”
Section: Introductionmentioning
confidence: 99%