Particle field deconvolution multiplicative algebraic reconstruction technique for tomographic particle image velocimetry reconstruction

被引:5
|
作者
Zhang, Zhiyuan [1 ]
Yang, Hua [1 ]
Huang, Yongan [1 ]
Yin, Zhouping [1 ]
Shan, Feng [2 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Energy & Power Engn, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
D O I
10.1063/5.0127084
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Precision tomographic reconstruction is critical for obtaining high-accuracy velocity measurements in tomographic particle image velocimetry. Traditional tomographic reconstruction methods, such as the multiplicative algebraic reconstruction technique (MART), can only be applied at low particle concentrations, limiting the spatial resolution of velocity measurements. In addition, the actual shape of the particles is not reconstructed well due to the limited views. In this study, we propose a novel method named particle field deconvolution MART (Deconv-MART) to repair the shape of actual particles while suppressing ghost particles reconstructed by MART iterations. This method first uses the Gaussian particle shape prior to estimate the convolution kernel obtained by MART reconstruction. Then, the estimated kernel is utilized to deconvolute the particle field and suppress ghost particles based on the prior information of the lower intensity of ghost particles as well as the sparsity of the particle field. Reconstruction fields are estimated with numerical and real experiments, and the results are compared with the results of advanced reconstruction methods. Comparisons of reconstruction demonstrate that the proposed method is effective at suppressing ghost particles and restoring the shape of actual particles. Comparisons of velocity measurements reveal that Deconv-MART has good performance and high measurement accuracy.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] A maximum entropy reconstruction technique for tomographic particle image velocimetry
    Bilsky, A. V.
    Lozhkin, V. A.
    Markovich, D. M.
    Tokarev, M. P.
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2013, 24 (04)
  • [2] An efficient simultaneous reconstruction technique for tomographic particle image velocimetry
    Atkinson, Callum
    Soria, Julio
    [J]. EXPERIMENTS IN FLUIDS, 2009, 47 (4-5) : 553 - 568
  • [3] An efficient simultaneous reconstruction technique for tomographic particle image velocimetry
    Callum Atkinson
    Julio Soria
    [J]. Experiments in Fluids, 2009, 47 : 553 - 568
  • [4] Reconstruction of particle distribution for tomographic particle image velocimetry based on unsupervised learning method
    Zhang, Duanyu
    Huang, Haoqin
    Zhou, Wu
    Feng, Mingjun
    Zhang, Dapeng
    Gao, Limin
    [J]. PARTICUOLOGY, 2024, 93 : 349 - 363
  • [5] Particle image reconstruction for particle detection in particle tracking velocimetry
    Cheminet, Adam
    Krawczynski, Jean-Francois
    Druault, Philippe
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2018, 29 (12)
  • [6] Hybrid remapping particle field reconstruction method for synthetic aperture particle image velocimetry
    Qu, Xiangju
    Song, Yang
    Ang, Marcelo H.
    Jin, Ying
    Guo, Zhenyan
    Li, Zhenhua
    He, Anzhi
    [J]. APPLIED OPTICS, 2020, 59 (24) : 7419 - 7433
  • [7] Experimental study on a zigzagging bubble using tomographic particle image velocimetry with shadow image reconstruction
    She, Wen-Xuan
    Gao, Qi
    Zuo, Zheng-Yu
    Liao, Xiang-Wei
    Zhao, Liang
    Zhang, Ling-Xin
    Nie, De-Ming
    Shao, Xue-Ming
    [J]. PHYSICS OF FLUIDS, 2021, 33 (08)
  • [8] Tomographic particle image velocimetry
    Elsinga, G. E.
    Scarano, F.
    Wieneke, B.
    van Oudheusden, B. W.
    [J]. EXPERIMENTS IN FLUIDS, 2006, 41 (06) : 933 - 947
  • [9] Tomographic particle image velocimetry
    G. E. Elsinga
    F. Scarano
    B. Wieneke
    B. W. van Oudheusden
    [J]. Experiments in Fluids, 2006, 41 : 933 - 947
  • [10] Reconstruction of an acoustic pressure field in a resonance tube by particle image velocimetry
    Kuzuu, K.
    Hasegawa, S.
    [J]. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2015, 138 (05): : 3160 - 3168