Cavitation noise feature estimation method based on propeller wake flow pressure fluctuation computing

A pressure pulsation and noise feature technology, applied in the field of cavitation noise feature estimation based on propeller wake pressure pulsation calculation

Active Publication Date: 2014-10-08
安徽省爱夫卡电子科技有限公司
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Problems solved by technology

Since propeller cavitation is very different from spherical single cavit

Method used

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  • Cavitation noise feature estimation method based on propeller wake flow pressure fluctuation computing
  • Cavitation noise feature estimation method based on propeller wake flow pressure fluctuation computing
  • Cavitation noise feature estimation method based on propeller wake flow pressure fluctuation computing

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Embodiment

[0079] As shown in Figure 4(a), the cavitation noise feature estimation method based on propeller wake pressure fluctuation calculation includes the following steps:

[0080] (1) After the backup grid is generated and imported into the calculation program, the calculation example file is generated:

[0081] Use professional modeling software to create a 3D geometric model of the propeller and import it into the mesh generation software, as shown in Figure 1(a) and Figure 1(b), for the E778A and E779B propeller models, three alternative meshes are established in the meshing software The calculation domains of these three alternative grids are the same, the speed inflow boundary is 1D from the center of the propeller, D is the diameter of the propeller, the distance from the downstream pressure outlet boundary is 5D, and the distance from the center of the propeller to the side periphery is 2.5D. The number of grid cells of the grid is according to The multiples are gradually ...

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Abstract

The invention discloses a cavitation noise feature estimation method based on propeller wake flow pressure fluctuation computing and belongs to the field of water sound target feature value extracting. The cavitation noise feature estimation method based on propeller wake flow pressure fluctuation computing comprises the following steps that (1) a standby mesh is generated and is guided into a calculation procedure, and then an example file is generated; (2) a cavitation model and a turbulence model are set; (3) numerical computation parameter setting is carried out; (4) numerical computation is carried out; (5) numerical method reliability demonstration and mesh determining are carried out; (6) cavitation wake flow pressure fluctuation non-constant numerical computation is carried out; (7) pressure fluctuation signal power spectrum conversion and low-frequency line spectrum amplitude value extraction are carried out; and (8) line spectrum feature estimation and analysis are carried out. Related researching results in the fields of modern hydromechanics, vacuole dynamics and signal processing are introduced into underwater target noise feature analysis, and the multidisciplinary and multi-field intersectionality is reflected.

Description

technical field [0001] The invention relates to the field of underwater acoustic target feature extraction, in particular to a cavitation noise feature estimation method based on calculation of propeller wake pressure fluctuations. Background technique [0002] Propeller noise is one of the three major noise sources of ships. It contains information on the type of propeller and structural features of the target. These features are highly tolerant and separable, and are the main features and important basis for identifying underwater targets. Once cavitation occurs, cavitation noise becomes the main noise of the propeller. Due to the interference of these target source noises by the ocean environment noise and the distortion generated in the complex underwater acoustic channel propagation, the characteristics of the noise signal received by the passive sonar are not obvious, and the signal-to-noise ratio is reduced. Therefore, it is more and more difficult to recognize under...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 朱志峰
Owner 安徽省爱夫卡电子科技有限公司
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