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Light-field camera-based 3D volumetric particle image velocimetry with dense ray tracing reconstruction technique

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Abstract

This paper presents a dense ray tracing reconstruction technique for a single light-field camera-based particle image velocimetry. The new approach pre-determines the location of a particle through inverse dense ray tracing and reconstructs the voxel value using multiplicative algebraic reconstruction technique (MART). Simulation studies were undertaken to identify the effects of iteration number, relaxation factor, particle density, voxel–pixel ratio and the effect of the velocity gradient on the performance of the proposed dense ray tracing-based MART method (DRT-MART). The results demonstrate that the DRT-MART method achieves higher reconstruction resolution at significantly better computational efficiency than the MART method (4–50 times faster). Both DRT-MART and MART approaches were applied to measure the velocity field of a low speed jet flow which revealed that for the same computational cost, the DRT-MART method accurately resolves the jet velocity field with improved precision, especially for the velocity component along the depth direction.

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Acknowledgements

Financial support provided by National Natural Science Foundation of China (Grant No. 11472175), Shanghai Raising Star Program (Grant No. 15QA1402400) and Singapore Ministry of Education AcRF Tier-2 Grant (Grant No. MOE2014-T2-1-002) are gratefully acknowledged.

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Authors and Affiliations

  1. School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China

    Shengxian Shi & Junfei Ding

  2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore

    T. H. New

  3. Laboratory for Turbulence Research in Aerospace and Combustion, Department of Mechanical and Aerospace Engineering, Monash University, Melbourne, VIC, 3800, Australia

    Julio Soria

  4. Department of Aeronautics, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia

    Julio Soria

Authors
  1. Shengxian Shi
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  2. Junfei Ding
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  3. T. H. New
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  4. Julio Soria
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Correspondence to Shengxian Shi.

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Shi, S., Ding, J., New, T.H. et al. Light-field camera-based 3D volumetric particle image velocimetry with dense ray tracing reconstruction technique. Exp Fluids 58, 78 (2017). https://doi.org/10.1007/s00348-017-2365-3

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  • DOI: https://doi.org/10.1007/s00348-017-2365-3

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