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Study of Cavitation and Cavitation Erosion Quantitative Method Based on Image Processing Technique
Joint Authors
Lv, Dongli
Lian, Zhanghua
Zhang, Tao
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Lv, Dongli& Lian, Zhanghua& Zhang, Tao. 2018. Study of Cavitation and Cavitation Erosion Quantitative Method Based on Image Processing Technique. Advances in Civil Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1116183
Modern Language Association (MLA)
Lv, Dongli…[et al.]. Study of Cavitation and Cavitation Erosion Quantitative Method Based on Image Processing Technique. Advances in Civil Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1116183
American Medical Association (AMA)
Lv, Dongli& Lian, Zhanghua& Zhang, Tao. Study of Cavitation and Cavitation Erosion Quantitative Method Based on Image Processing Technique. Advances in Civil Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1116183
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1116183