|Table of Contents|

Analysis of flow noise characteristics of underwater high speed moving object based on LES/FW-H coupling model

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2020年02期
Page:
142-148
Research Field:
Publishing date:

Info

Title:
Analysis of flow noise characteristics of underwater high speed moving object based on LES/FW-H coupling model
Author(s):
Tu Jiangfeng1Ma Shaojie1Zhang He1Song Bin2
1.National Defense Key Discipline Laboratory of Intelligent Amunition Technology,Nanjing University of Science and Technology,Nanjing 210094,China; 2.PLA 63850,Baicheng 137001,China
Keywords:
acoustics water tunnel experiment cavitation flow noise
PACS:
O427.5
DOI:
10.14177/j.cnki.32-1397n.2020.44.02.003
Abstract:
Before cavitation occurs,the underwater moving bodies are mainly composed of structural noise,mechanical noise and instrument noise. These noises mainly radiate in multipole form with the line spectrum and the spectrum coexisting,and change with the flow velocity and the environmental pressure. Once the cavitation occurs,there are obvious differences in the noise spectrum. In order to study the noise characteristics of underwater moving body,a numerical model of large eddg simulaton/Ffowcs Williams-Hawkings(LES/FW-H)coupling is established based on the volume of fluid(VOF)multiphase flow and the Schnerr & Sauer cavitation model. The flow field simulation and water tunnel experiment are carried out,and the flow noise characteristics of underwater moving body under different conditions are obtained. The main results show that,in the water tunnel experiment,when the cavitation number drops to about 0.8,the cavitation can be seen obviously. Tunnel wall turbulence caused by noise is the main component of body movement. The flow noise of moving body is related to speed and pressure,with greater speed,the greater the amplitude of noise environment,and the greater the pressure,the greater the amplitude of noise. When motion vehicle cavitation occurs,the noise characteristics changes,and the flow noise becomes more complex and changes faster.

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Last Update: 2020-04-20