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Numerical Analysis of Underwater Propeller Noise (수중 추진기 소음의 수치적 해석)

  • Lee Soogab;Seol Hanshin;Suh J. C.;Pyo Sangwoo;Park Kwangkun
    • Proceedings of the Acoustical Society of Korea Conference
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    • autumn
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    • pp.447-450
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    • 2004
  • 선박에서 발생하는 소음 가운데 수중 추진기 소음은 가장 우세한 소음이다. 추진기 소음은 소나에 의해 적을 탐지하는 군용 선박에 경우 생존과 직결된 문제가 되며 쾌적함과 정숙성을 요구하는 여객선의 경우에서도 중요한 문제로 대두되고 있다. 이러한 중요성과 필요성에 따라, 본 연구에서는 수중 추진기의 비공동 및 공동 소음을 수치적으로 해석하였다. 수중 추진기 소음 해석을 위해 유동 해석이 선행되어야 하며 이는 포텐셜을 기반으로 한 패널법을 이용하여 해석한다. 소음 해석은 시간 영역 음향상사법을 이용하였으며, 공동 소음은 홀극 음원으로 모사하여 해석하였다. 또한 향후 수중 추진기의 날개 끝 볼텍스 캐비테이션 해석을 위한 기초연구로서 Eulerian-Lagrangian 접근법을 이용하여 수중익에서의 날개 끝 볼텍스 캐비테이션의 거동과 소음을 예측하였다.

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A Study on Autonomous Cavitation Image Recognition Using Deep Learning Technology (딥러닝 기술을 이용한 캐비테이션 자동인식에 대한 연구)

  • Ji, Bahan;Ahn, Byoung-Kwon
    • Journal of the Society of Naval Architects of Korea
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    • v.58 no.2
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    • pp.105-111
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    • 2021
  • The main source of underwater radiated noise of ships is cavitation generated by propeller blades. After the Cavitation Inception Speed (CIS), noise level at all frequencies increases severely. In determining the CIS, it is based on the results observed with the naked eye during the model test, however accuracy and consistency of CIS values are becoming practical issues. This study was carried out with the aim of developing a technology that can automatically recognize cavitation images using deep learning technique based on a Convolutional Neural Network (CNN). Model tests on a three-dimensional hydrofoil were conducted at a cavitation tunnel, and tip vortex cavitation was strictly observed using a high-speed camera to obtain analysis data. The results show that this technique can be used to quantitatively evaluate not only the CIS, but also the amount and rate of cavitation from recorded images.

Numerical investigation into cavitation flow noise of hydrofoil using quadrupole-corrected Ffowcs Williams and Hawkings equation (사중극자 보정 Ffowcs Williams and Hawkings 방정식을 이용한 수중 익형 공동 유동소음에 대한 수치적 고찰)

  • Ku, Garam;Ryu, Seo-Yoon;Cheong, Cheolung
    • The Journal of the Acoustical Society of Korea
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    • v.37 no.5
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    • pp.263-270
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    • 2018
  • In most industry fields concerning external flow noise problems, the hybrid computational aeroacoustic techniques based on the FW-H (Ffowcs Williams and Hawkings) equation are widely used for its numerical efficiency. However, when the surface integral form of FW-H equation is used without volume quadrupole sources, it is known to generate significant non-physical noise in a certain case. Especially, in the case of a flow in which the tip vortex cavitation is formed in the distant downstream direction such as flow driven by an underwater propeller, the accuracy in noise prediction becomes poor unless it is not properly modelled. Therefore, in this study, the nonphysical acoustic waves caused by the surface integral form of FW-H equation is reduced by adding the quadrupole correction term. First, to verify the accuracy of the in-house code of FW-H equation, the noise by an axial fan used in the outdoor unit of air conditioner was calculated and compared with the results of ANSYS Fluent. In order to verify the effects of the quadrupole correction term, the noise prediction for isentropic vortex convection is performed and it is confirmed that the error is reduced by the quadrupole correction term. Finally, the noise prediction is performed for the flow field generated by the Clark-Y hydrofoil in underwater. It is confirmed that the error caused by the cavitation passing through the integral surface can be reduced by the quadrupole correction term.

Numerical Study on Cavitation Flow and Noise in the Flow Around a Clark-Y Hydrofoil (Clark-Y 수중익형 주변 공동 현상에 의한 유동장과 소음 예측에 대한 수치적 연구)

  • Ku, Garam;Cheong, Cheolung;Kim, Sanghyeon;Ha, Cong-Tu;Park, Warn-Gyu
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.2
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    • pp.87-94
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    • 2017
  • Because the cavitation flow driven by an underwater propeller corrodes the materials around it and generates a high level of noise, it has become an important topic in engineering research. In this study, computational fluid dynamics techniques are applied to simulate cavitation flow, and the noise in the flow is predicted by applying the acoustic analogy to the predicted flow. The predicted results are compared with measurement results and other predictions in terms of surface pressure distribution and the temporal variation in liquid volume fraction. The predicted results are found to be in good agreement with the measured results. The source of the noise attributed to the time rate of change in the liquid volume fraction around the hydrofoil is modeled as a monopole source, and the source of the noise due to unsteady pressure perturbations on the hydrofoil surface is modeled as a dipole source. Then the predicted noise results are analyzed in terms of directivity and SPL spectrum. The noise caused by unsteady pressure perturbations was dominant in the entire frequency range considered in the study.