| 空化流动图像处理程序设计及其应用 |
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| 引用本文： | 张敏弟,宋晓峰,王国玉,张建波,鲁君瑞,高德明.空化流动图像处理程序设计及其应用[J].北京理工大学学报,2006,26(11):983-986. |
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| 作者姓名： | 张敏弟 宋晓峰 王国玉 张建波 鲁君瑞 高德明 |
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| 作者单位： | 北京理工大学,机械与车辆工程学院,北京,100081;北京理工大学,机械与车辆工程学院,北京,100081;北京理工大学,机械与车辆工程学院,北京,100081;北京理工大学,机械与车辆工程学院,北京,100081;北京理工大学,机械与车辆工程学院,北京,100081;北京理工大学,机械与车辆工程学院,北京,100081 |
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| 基金项目： | 国家自然科学基金
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北京理工大学校科研和教改项目 |
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| 摘 要： | 针对空化实验图像的特点,运用数字图像处理技术,设计了图像处理函数,开发了具有多种功能的空化形态专用图像分析软件.用该软件对绕超空化水翼空化流动图像进行分析,提取了空化区轮廓和空化边界线,绘制了空化区域的面积和亮度曲线,并由图像亮度的变化得出了空化流动的周期.结果表明,设计的空化图像分析软件能够定量分析空化流动结构和变化过程,提高了处理空化流动形态的可靠性和效率,为深入讨论空化流动的机理提供了有效方法.
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| 关 键 词： | 空化流动 图像程序 超空化水翼 |
| 文章编号： | 1001-0645(2006)11-0983-04 |
| 收稿时间： | 2006/3/16 0:00:00 |
| 修稿时间： | 2006年3月16日 |
Design and Application of Cavitation Flow Image Programs |
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| ZHANG Min-di,SONG Xiao-feng,WANG Guo-yu,ZHANG Jian-bo,LU Jun-rui and GAO De-ming.Design and Application of Cavitation Flow Image Programs[J].Journal of Beijing Institute of Technology(Natural Science Edition),2006,26(11):983-986. |
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| Authors: | ZHANG Min-di SONG Xiao-feng WANG Guo-yu ZHANG Jian-bo LU Jun-rui and GAO De-ming |
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| Institution: | School of Mechanical and Vehicular Engineering,Beijing Institute of Technology,Beijing 100081,China;School of Mechanical and Vehicular Engineering,Beijing Institute of Technology,Beijing 100081,China;School of Mechanical and Vehicular Engineering,Beijing Institute of Technology,Beijing 100081,China;School of Mechanical and Vehicular Engineering,Beijing Institute of Technology,Beijing 100081,China;School of Mechanical and Vehicular Engineering,Beijing Institute of Technology,Beijing 100081,China;School of Mechanical and Vehicular Engineering,Beijing Institute of Technology,Beijing 100081,China |
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| Abstract: | Cavitation flow images are much used in the study of cavitation phenomena.A cavitation flow image program is developed,introducing many image processing functions different from the traditional ones and overcomes restrictions in commercial softwares.By employing the program,the outline,boundary,gray level and area of the flow images around a super-cavitation hydrofoil in the cavitation zone can be extracted successfully.Moreover,the evolutional period of cavitation can be estimated based on image gray,so that the cavity configuration and transformation can be studied quantitatively.The reliability and frequency of the processed cavitation are improved in order to understand the mechanism of cavitation flow. |
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| Keywords: | cavitation flow image program super-cavitation hydrofoil |
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