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A multivariate statistical modeling method for fine features of propeller cavitation wake

A technology of multivariate statistics and modeling methods, applied in design optimization/simulation, instrumentation, electrical and digital data processing, etc., it can solve difficult problems without combining the specific characteristics of propellers, and high challenges, so as to achieve expansion space and breakthrough samples. Effects of limitations on collection and experimental conditions

Active Publication Date: 2022-07-29
ANHUI UNIVERSITY OF TECHNOLOGY
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  • Application Information

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Problems solved by technology

[0005] In recent decades, a lot of research has been done on the radiation noise generated by cavitation, but there are not many reports on the mechanism of the ship propeller cavitation noise that has attracted much attention in the field of hydroacoustics.
On the other hand, propeller cavitation has become a research hotspot in the field of fluid mechanics, and there are many related works, but there is not much about the radiation noise caused by cavitation
Although some scholars have used statistical theory to study propeller cavitation noise, they have not combined the specific characteristics of propellers.
And because the formation mechanism of cavitation has not been fully revealed at present, it is very difficult and challenging to analyze the characteristics of propeller cavitation noise calculation based on spherical cavitation theory

Method used

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  • A multivariate statistical modeling method for fine features of propeller cavitation wake
  • A multivariate statistical modeling method for fine features of propeller cavitation wake
  • A multivariate statistical modeling method for fine features of propeller cavitation wake

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Embodiment 1

[0052] In this embodiment, the signal analysis is performed on the numerical calculation result of the propeller wake pressure pulsation by using the relevant signal processing technology, and then the feature estimation and extraction are performed to obtain the feature value of the specific feature parameter. These eigenvalues ​​not only reflect the characteristics of the flow field but also reflect the geometric parameters of the propeller and the characteristics of the working conditions. Using these eigenvalues ​​to carry out regression analysis in multivariate statistics, a statistical model reflecting the characteristics of propeller cavitation wake is obtained.

[0053] Among them, the numerical calculation of propeller wake pressure pulsation uses modern computational fluid dynamics professional numerical calculation software to construct the RANS equation for the wake field of the underwater propeller, and combines the turbulence model and cavitation model to numerica...

Embodiment 2

[0100] In view of the fact that the working conditions and the size of the propeller have little influence on the variation characteristics of the low-frequency line spectrum amplitude distribution, the shape characteristics of the propeller blade, that is, the skew angle parameter, have a certain influence on the variation characteristics of the low-frequency line spectrum amplitude distribution. When the propeller is a high-slope propeller (the skew angle is higher than 100 degrees), the low-frequency line spectrum amplitude has the characteristic of linearly decreasing with the increase of frequency (see Figure 5 ); on the contrary, when the propeller has low skew or no skew, its double-axis frequency line spectrum is more obvious, and the amplitude of the low frequency line spectrum does not have the characteristic of linear decrease with the increase of frequency. Therefore, the multivariate statistical modeling method for the fine features of the propeller cavitation wak...

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Abstract

The invention discloses a multivariate statistical modeling method for fine features of propeller cavitation wakes, and relates to the technical field of underwater acoustic target recognition. The steps of the invention are as follows: 1. Setting the calculation parameter of the unsteady constant value of the propeller cavitation wake in the whole water domain, and obtaining the pressure pulsation numerical calculation signal x(i); 2. Obtaining the map information of the pressure pulsation signal processing; 3. Extracting the pressure The characteristics of the pulsation signal, and the correlation analysis is carried out. Fourth, according to the correlation analysis results, the characteristic relationship modeling from the target characteristic parameters of the propeller cavitation wake to the characteristic parameters of the cavitation flow field is carried out. 5. Use the obtained propeller cavitation wake pressure pulsation signal characteristics to judge the characteristics of the propeller side slope. The invention clarifies the mapping relationship between the characteristic parameter space of the cavitation flow field and the propeller and the flow field parameter space, and establishes the fine characteristic model of the two, which is a new idea compared with the traditional method, and has an important direction for the classification and identification technology of underwater targets. sexual value.

Description

technical field [0001] The invention relates to a multivariate statistical modeling method for fine features of a propeller cavitation wake, and has important application prospects in the technical field of underwater acoustic target recognition. Background technique [0002] Rotating ship propellers often have a speed of tens of meters per second at the tip of the blade. This high-speed rotation causes a significant local pressure drop in the seawater around the blade, so that strong cavitation often occurs on the blade tip, even near the hub. In addition, the propeller works in the wake field of the ship, and the hull line and appendages are not centrally symmetric, so the wake field of the ship has obvious circumferential inhomogeneity. In this way, the relative velocity and pressure of the periodically rotating blade and the non-uniform wake in contact with it have periodic changes, so that the intensity of cavitation also undergoes corresponding periodic pulsation chan...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F119/14
Inventor 朱志峰吴樱孙飞扬
Owner ANHUI UNIVERSITY OF TECHNOLOGY
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