Home > Archive>Volume 18, Issue 10, 2022 >613-617. DOI:https://doi.org/10.1007/s11801-022-2007-8
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3D velocity field reconstruction of gas-liquid two-phase flow based on space-time multi-scale binocular-PIV technology
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1. Tianjin Key Laboratory of Intelligent Control of Electrical Equipment, School of Artificial Intelligence, Tiangong University, Tianjin 300387, China;2. Tianjin Key Laboratory of Intelligent Control of Electrical Equipment, School of Control Science and Engineering, Tiangong University, Tianjin 300387, China

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    Abstract:

    For particle image velocimetry (PIV) technique, the two-dimensional (2D) PIV by one camera can only obtain 2D velocity field, while three-dimensional (3D) PIV based on tomography by three or four cameras is always complex and expensive. In this work, a binocular-PIV technology based on two cameras was proposed to reconstruct the 3D velocity field of gas-liquid two-phase flow, which is a combination of the binocular stereo vision and cross-correlation based on fast Fourier transform (CC-FFT). The depth of particle was calculated by binocular stereo vision on space scale, and the plane displacement of particles was acquired by CC-FFT on time scale. Experimental results have proved the effectiveness of the proposed method in 3D reconstruction of velocity field for gas-liquid two-phase flow.

    Reference
    [1] ADRIAN R J. Twenty years of particle image velocimetry[J]. Experiments in fluids, 2005, 39(2)：159-169.
    [2] YANG Z, WANG S, ZHENG J, et al. 20 kHz dual-plane stereo-PIV measurements on a swirling flame using a two-legged burst-mode laser[J]. Optics letters, 2020, 45(20)：5756.
    [3] DOROSHENKO A, LEE N, MACDONALD C, et al. Decline of influenza and respiratory viruses with COVID-19 public health measures：Alberta, Canada[J]. Mayo clinic proceedings, 2021, 96(12)：3042-3052.
    [4] TAN Z P, ALARCON R, ALLEN J, et al. Development of a high-speed plenoptic imaging system and application
    to marine biology PIV[J]. Measurement science and technology, 2020, 31(5)：054005.
    [5] SHU A P, RUBINATO M, QIN J P, et al. The hydrodynamic characteristics induced by multiple layouts of typical artificial M-type reefs with sea currents typical of Liaodong Bay, Bohai Sea[J]. Journal of marine science and engineering, 2021, 9(11)：1155.
    [6] LIU A H, LIN J J, ZHUANG Y J. PIV experimental study on the phase change behavior of phase change material with partial filling of metal foam inside a cavity during melting[J]. International journal of heat and mass transfer, 2022, 187：122567.
    [7] MINICHIELLO A, ARMIJO D, MUKHERJEE S, et al. Developing a mobile application‐based particle image velocimetry tool for enhanced teaching and learning in fluid mechanics：a design‐based research approach[J]. Computer applications in engineering education, 2021, 29(3)：517-537.
    [8] PAKHOV V V, STEPANOV R P, KUSYUMOV A N, et al. Investigation of aerodynamic performance of a multipurpose medium lift helicopter with different rear fuselage geometries[J]. Russian aeronautics, 2021, 64(2)：248-255.
    [9] ADRIAN R J. Scattering particle characteristics and their effect on pulsed laser measurements of fluid flow：speckle velocimetry vs. particle image velocimetry[J]. Applied optics, 1984, 23(11)：1690.
    [10] SU Y, ZHANG B, CHEN Y, et al. 3D velocity and temperature distribution measurement and characteristic analysis of swirling combustion[J]. Measurement, 2022, 193：110949.
    [11] PEREZ J M, SASTRE F, CLAINCHE S L, et al. Three-dimensional flow field reconstruction in the wake of a confined square cylinder using planar PIV data[J]. Experimental thermal and fluid science, 2021：110523.
    [12] HAMDI J, ASSOUM H H, ALKHEIR M, et al. Analysis of the 3D flow of an impinging jet on a slotted plate using TR-Tomo PIV and proper orthogonal decomposition[J]. Energy reports, 2020, 6(S9)：158-163.
    [13] LI Y F, BLOIS G, KAZEMIFA R, et al. Quantifying the dynamics of water-CO2 multiphase flow in microfluidic porous media using high-speed micro-PIV[C]//ASME 2020 International Mechanical Engineering Congress and Exposition, November 16-19, 2020, Virtual, Online. New York：ASME, 2020.
    [14] DU H, LI M G, LIU S X. Study of particle image velocimetry systems based on binocular vision[J]. Systems engineering and electronics, 2007, 29(11)：5.
    [15] ZHANG Z. A flexible new technique for camera calibration[J]. IEEE transactions on pattern analysis and machine intelligence, 2000, 22(11)：1330-1334.
    [16] ZABIH R, WOODFILL J. Non-parametric local transforms for computing visual correspondence[J]. Lecture notes in computer science, 1994, 801(1)：151-158.
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WANG Hongyi, DOU Gongcheng, ZHANG Hao, ZHU Xinjun,,SONG Limei.3D velocity field reconstruction of gas-liquid two-phase flow based on space-time multi-scale binocular-PIV technology[J]. Optoelectronics Letters,2022,18(10):613-617

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History
  • Received:January 18,2022
  • Revised:June 12,2022
  • Online: October 17,2022
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