| 英文摘要 |
Ship propulsion is commonly achieved by marine propellers. Due to their usual working conditions of high load and high rotational speed, the water pressure on the surfaces of marine propellers easily drops below the saturated vapor pressure to form vapor bubbles with micro gas bubbles in the water as nuclei. This phenomenon is known as cavitation, which may result in a loss of thrust for marine propellers and hence reduce their efficiencies, induce vibrations on ship hulls and generate noise, and cause erosion that damages structures of marine propellers. As a result, propeller cavitation has long been a key field of research in marine propulsion systems. This study presents the processing and analysis of a series of propeller cavitation images acquired by a phase-locked digital imaging system, which was integrated with a cavitation tunnel for open-water tests. Effective procedures of image processing and analysis suitable for propeller’s cavitation were developed to extract parameterized characteristics of cavitation. Since different regions of the propeller blade surface generate different types of cavitation, the images were segmented accordingly. Each region was then processed with a varying number of morphological operations, including dilation and erosion, to enhance and accurately capture the cavitation characteristics specific to each area. The final results can be expected to be used for validating corresponding numerical simulations and further advancing the propeller’s design. |