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Study of Cavitation and Cavitation Erosion Quantitative Method Based on Image Processing Technique

机译:基于图像处理技术的空化及空蚀定量研究

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摘要

Cavitation erosion on the wetted surface of hydraulic machinery is directly related to the cavitation behavior. In this paper, the cavitation behavior and cavitation erosion characteristics on the airfoil surface were observed experimentally, and then, image processing methods for quantifying cavitation structure and cavitation erosion were established. Laser-CCD system was used to obtain the cavitation structure on the airfoil surface and the microtopographies of the cavitation erosion at different magnifications were obtained by SEM. The distribution and shape of cavitation pits were analyzed. An image processing method based on statistical principle was used to analyze the distribution characteristics of the cavitation structure. The mean and mean square value of the cavitation structure were obtained. The average volume and the volume change rate of cavitation cloud in each position of the flow field during a cavitation period were described. According to the characteristics of cavitation pits, an image processing method based on background correction, edge detection, and binary morphology processing was established, and then, the distribution characteristics and the area of the cavitation pits were obtained. Finally, the effectiveness of the methods is verified by the image processing of cavitation pit in different locations on the hydrofoil.
机译:水力机械湿润表面上的气蚀与气蚀行为直接相关。通过实验观察翼型表面的空化行为和空化腐蚀特征,建立量化空化结构和空化腐蚀的图像处理方法。用激光CCD系统获得了翼型表面的空化结构,并通过SEM获得了不同放大倍数下空化侵蚀的微观形貌。分析了空化坑的分布和形状。利用基于统计原理的图像处理方法分析了空化结构的分布特征。获得了空化结构的均值和均方值。描述了在气蚀过程中流场每个位置的气蚀云的平均体积和体积变化率。根据空化坑的特征,建立了一种基于背景校正,边缘检测和二值形态学处理的图像处理方法,得到了空化坑的分布特征和面积。最后,通过对水翼上不同位置的气蚀坑进行图像处理,验证了该方法的有效性。

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  • 来源
    《Advances in civil engineering》 |2018年第5期|5317578.1-5317578.10|共10页
  • 作者单位

    Southwest Petr Univ, Sch Mat Sci & Engn, Chengdu 610500, Sichuan, Peoples R China;

    Southwest Petr Univ, Sch Oil & Nat Gas Engn, Chengdu 610500, Sichuan, Peoples R China;

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