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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50332

Title: Image-Based Measurements for Examining Model Predictability of Cavitation on a Marine Propeller Surface
Authors: Yi-Chih Chow
Yaw-Huei Lee
Yu-Chi Chang
Contributors: 國立臺灣海洋大學:系統工程暨造船學系
Keywords: Cavitation model
Marine propeller
Image processing and analysis
Cavitation occurrence probability
Vapor volume fraction
Phase-locked imaging
Date: 2017-07
Issue Date: 2018-10-04T03:26:26Z
Publisher: Ocean Engineering
Abstract: Abstract: Because of its complex nature, cavitation associated with marine propellers poses a challenge to numerical simulations for predicting it. This paper experimentally examines the predictions of vapor volume fraction (VVF) done by RANS simulations with three cavitation models for a propeller whose design is to suppress sheet cavitation. The equality of VVF and cavitation occurrence probability (COP), whose distribution can be measured with cavitation images acquired using the phase-locked imaging technique in an open-water test, is found and becomes the base of a methodology developed for examining model predictability of cavitation. By comparing and correlating the distributions of VVF computed using different cavitation models with that of measured COP, predictabilities of cavitation models can be quantified to elucidate modeling issues and possible remedies for them.
Relation: 138 pp.161-169
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50332
Appears in Collections:[系統工程暨造船學系] 期刊論文

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