Acta Optica Sinica, Volume. 41, Issue 19, 1912004(2021)

Particle Streak Velocimetry Based on Defocused Imaging

Xiaoxiao Wang1,2, Wu Zhou1,2、*, Fangting Wang1,2, Xinran Tang1,2, and Xiaoshu Cai1,2
Author Affiliations
  • 1School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 2Shanghai Key Laboratory of Multiphase Flow and Heat Transfer for Power Engineering, Shanghai 200093, China
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    Figures & Tables(12)
    Typical particle trajectory image. (a) 2D movement; (b) 3D movement
    Arc trajectory model in polar coordinates
    Image processing flow chart for gray level fitting
    Synthetic straight trajectory images with different parameters
    Results of parameters measurement for trajectories in Fig. 4. (a) Result of image with no noise;(b) result of image with noise level of 5; (c) result of image with noise level of 10
    Synthetic arc trajectory images
    Recognition results of parameters measurement for trajectories in Fig. 6. (a) Result of image with no noise;(b) result of image with noise level of 3; (c) result of image with noise level of 5
    Experiment system for σ and z calibration
    Trajectory images when the target moves at speed of 30 mm/s (enhanced image)
    Relationship between z and σ
    Images of jet experiment (enhanced image). (a) Original image; (b) image reconstructed by gray-level fitting method
    3D velocity results for Fig. 11. (a) 3D velocity field; (b) top view
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    Xiaoxiao Wang, Wu Zhou, Fangting Wang, Xinran Tang, Xiaoshu Cai. Particle Streak Velocimetry Based on Defocused Imaging[J]. Acta Optica Sinica, 2021, 41(19): 1912004

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Mar. 9, 2021

    Accepted: Apr. 29, 2021

    Published Online: Oct. 9, 2021

    The Author Email: Zhou Wu (zhouwu@usst.edu.cn)

    DOI:10.3788/AOS202141.1912004

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