한국가시화정보학회지 (Journal of the Korean Society of Visualization)

  • 제20권3호
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  • Pages.128-135
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  • 2022
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  • 1598-8430(pISSN)
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  • 2093-808X(eISSN)
한국가시화정보학회 (The Korean Society of Visualization)
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컴퓨터 비전을 이용한 프로펠러 캐비테이션 평가 연구

Study on estimation of propeller cavitation using computer vision

  • Taegoo, Lee (Department of Naval Architect and Ocean Engineering, Chungnam National University) ;
  • Ki-Seong, Kim (Department of Naval Architect and Ocean Engineering, Chungnam National University) ;
  • Ji-Woo, Hong (Department of Naval Architect and Ocean Engineering, Chungnam National University) ;
  • Byoung-Kwon, Ahn (Department of Naval Architect and Ocean Engineering, Chungnam National University ) ;
  • Kyung-Jun, Lee (Samsung Ship Model Basin (SSMB), Samsung Heavy Industries Co.)
  • 투고 : 2022.11.04
  • 심사 : 2022.11.22
  • 발행 : 2022.11.30
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초록

Cavitation occurs inevitably in marine propellers rotating at high speed in the water, which is a major cause of underwater radiated noise. Cavitation-induced noise from propellers rotating at a specific frequency not only reduces the sonar detection capability, but also exposes the ship's location, and it causes very fatal consequences for the survivability of the navy vessels. Therefore cavity inception speed (CIS) is one of the important factors determining the special performance of the ship. In this study, we present a method using computer vision that can detect and quantitatively estimate tip vortex cavitation on a propeller rotating at high speed. Based on the model test results performed in a large cavitation tunnel, the effectiveness of this method was verified.

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과제정보

이 성과는 정부(과학기술정보통신부)의 재원으로 한국연구재단((No.2019R1A2C1084306)과 삼성중공업의 지원으로 수행된 연구임.

참고문헌

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