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http://dx.doi.org/10.5407/jksv.2022.20.3.128

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.)
Publication Information
Journal of the Korean Society of Visualization / v.20, no.3, 2022 , pp. 128-135 More about this Journal
Abstract
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.
Keywords
Computer Vision; Propeller; Tip Vortex Cavitation(TVC); Cavitation Inception Speed(CIS);
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Times Cited By KSCI : 2  (Citation Analysis)
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