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研究生:陳佑政
研究生(外文):You-Jehng Chen
論文名稱:運用數位影像處理辨識螺槳之泡狀空化
論文名稱(外文):Identification of Propeller Bubble Cavitation Using Digital Image Processing
指導教授:周一志
指導教授(外文):Yi-Chih Chow
學位類別:碩士
校院名稱:國立臺灣海洋大學
系所名稱:系統工程暨造船學系
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:81
中文關鍵詞:泡狀空化數位影像處理跨速度域螺槳同步拍攝圓滑度
外文關鍵詞:bubble cavitationdigital image processingTrans-Velocity Propellerphase-locked imagingcircularity
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螺槳運轉產生的空化現象主要有:葉尖渦空化(tip cavitation)、片狀空化( sheet cavitation)與泡狀空化( bubble cavitation),此空化現象會產生振動噪音、效率下降與損害螺槳,除了造成住艙噪音太大不適居住工作,對於船艉的結構也會有一定的影響,尤其是泡狀空化不僅會影響螺槳性能上的表現,更會破壞螺槳造成浸蝕(erosion)現象。而且泡狀空化為一非定常現象,無法以簡單的一照片或人工觀察就可以正確地表示,因此發展一套辨識泡狀空化的方法對於螺槳設計上是相當重要的。
本論文主要研究以跨速度域螺槳(Trans-Velocity Propeller)為基礎,應用數位影像處理的技術來發展辨識泡狀空化的方法。於中型空蝕水槽進行螺槳單獨實驗,並以CCD相機拍攝螺槳空化現象,實驗影像經由二元化(thresholding)、Canny邊緣偵測(edge detection)和形態學(Morphology)中的膨脹(Dilation)、侵蝕(Erosion)等數位影像處理,只留下泡狀空化影像,最後使用影像辨識的方式得出此泡狀空化位置與面積,並將其結果以空化發生機率進行統計的分析,最後對泡狀空化以局部強化與辨識的方法提升泡狀空化大小之準確性。
此一泡狀空化辨識方法可以確定泡狀空化的位置及其面積大小,並可以將非定常之現象以空化發生機率得知其分佈的範圍,此一分佈的範圍即是螺槳容易發生浸蝕現象之位置,將可提供給設計者改進的重點,並可提供螺槳設計數值模擬之基礎。

Bubble cavitation generated by operating marine propellers not only affects propellers’ performances but also possibly induces erosion that causes propellers’ damages; due to the fact that bubble cavitation is unsteady, it can not be accurately analyzed by using a couple of photos or manual inspection. Therefore, it is important to develop a methodology to identify and measure bubble cavitation for verifying and improving propeller designs.
This thesis develops a methodology using digital image processing to identify and measure bubble cavitation. Open-water tests of the TVP (Trans-Velocity Propeller) are conducted in the median cavitation tunnel of the National Taiwan Ocean University. Cavitation images of the propeller are acquired by a CCD camera using the phase-locked imaging technique. After processing these images with several algorithms such as the thresholding, the Canny edge detection, the morphological dilation and erosion, etc, noise is effectively eliminated and features of image objects are enhanced. Finally, using the circularity as a measure indicator, global and local image identifications are performed to obtain accurate locations and areas of bubble cavitations. And the results are presented statistically, providing to propeller designers the basis for design verifications and improvements and comparisons with that of numerical simulations.

摘要
ABSTRACT
目錄
圖目錄
表目錄
符號說明
第一章 前言
第二章 實驗設備與架構
2-1實驗設備
2-2實驗方法
2-2.1螺槳空化影像拍攝
2-2.2K-J CHART
第三章 影像處理方法
3-1穩態(STEADY)空化影像處理
3-2非穩態(UNSTEADY)空化影像處理
第四章 泡狀空化影像分析結果
4-1 泡狀空化影像處理範圍
4-2 (非穩態)泡狀空化影像處理步驟
4-2.1 泡狀空化影像強化
4-2.2空化影像邊緣偵測
4-2.3膨脹與填滿
4-2.3影像侵蝕(IMAGE EROSION)
4-2.4自動化整體辨識泡狀空化影像
4-3空化發生機率分析
4-4空化機率分析結果
4-5泡狀空化局部強化與再辨識
4-6泡狀空化局部再辨識分析結果
第五章 結論與未來展望
參考文獻

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