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Citation:
 Chunlong Huang,Kunde Yang,Qiulong Yang,et al.Sinusoidal Vertical Motion Suppression and Flow Noise Calculation for a Sonobuoy[J].Journal of Marine Science and Application,2021,(3):546-557.[doi:10.1007/s11804-021-00220-3]
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Sinusoidal Vertical Motion Suppression and Flow Noise Calculation for a Sonobuoy

Info

Title:
Sinusoidal Vertical Motion Suppression and Flow Noise Calculation for a Sonobuoy
Author(s):
Chunlong Huang12 Kunde Yang12 Qiulong Yang12 Hui Li12 Yuanliang Ma12
Affilations:
Author(s):
Chunlong Huang12 Kunde Yang12 Qiulong Yang12 Hui Li12 Yuanliang Ma12
1. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, 710072, China;
2. Key Laboratory of Ocean Acoustics and Sensing (Northwestern Polytechnical University), Ministry of Industry and Information Technology, Xi’an, 710072, People’s Republic of China
Keywords:
Sonobuoy|Vertical motion|Flow noise|Differential equation of motion|Suspension system|Hydrophone
分类号:
-
DOI:
10.1007/s11804-021-00220-3
Abstract:
The flow noise associated with sinusoidal vertical motion of a sonobuoy restrains its working performance. In practice, a suspension system consisting of elastic suspension cable and isolation mass is adopted to isolate the hydrophone from large vertical motions of the buoy on the ocean surface. In the present study, a theoretical model of vertical motion based on the sonobuoy suspension system was proposed. The vertical motion velocity response of the hydrophone of a sonobuoy can be obtained by solving the theoretical model with Runge-Kutta algorithm. The flow noise of the hydrophone at this response motion velocity was predicted using a hybrid computational fluid dynamics (CFD)-Ffowcs Williams-Hawkings (FW-H) technique. The simulation results revealed that adding the elastic suspension cable with an appropriate elastic constant and counterweight with an appropriate mass have a good effect on reducing the flow noise caused by the sonobuoy vertical motion. The validation of this hybrid computational method used for reliable prediction of flow noise was also carried out on the basis of experimental data and empirical formula. The finds of this study can supply the deep understandings of the relationships between flow noise reduction and sonobuoy optimization.

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Memo

Memo:
Received date:2020-06-12。
Foundation item:This work was supported by the National Natural Science Foundation of China (Grant No. 61901383), the Natural Science Basic Research Plan in Shaanxi Province of China (Program No. 2019JQ633), the Fundamental Research Funds for the Central University (Grant No. 3102019HHZY030011), China Postdoctoral Science Foundation (2019M663822), and the Open Fund Project of Key Laboratory of Marine Environmental Information Technology, Ministry of Natural Resources of the People’s Republic of China.
Corresponding author:Qiulong Yang,E-mail:yangqiulong@nwpu.edu.cn
Last Update: 2021-11-04