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Relaxation algorithm-based PTV with dual calculation method and its application in addressing particle saltation

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Abstract

This paper proposes a dual calculation method (DCM) that in velocity fields obtained from particle tracking velocimetry detects spurious velocity vectors. The synthetic images were used to test the performance of the DCM. By adding random erasing to the genuine matching data, the influence of noise effect was simulated and analyzed. A comparison with the minimum net-flux method indicates that the DCM is more effective in identifying erroneous vectors as particles having no genuine candidates are more readily identified, thereby, ensuring strong consistent match. The DCM is also found to be more effective in addressing particle saltation, based on the accurately abstracted trajectories, the kinetic parameters of the sand grains are calculated.

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Acknowledgments

The support provided by the National Natural Science Foundation of China (NSFC 11272252, 11022153) is gratefully acknowledged. We also thank Professor Kazuo Ohmi, Osaka Sangyo University, Japan.

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Authors and Affiliations

  1. Department of Fluid Machinery and Engineering, Xi’an Jiaotong University, Xianning West Road 28#, Xi’an, 710049, China

    Pan Jia, Yuan Wang & Yang Zhang

  2. School of Chemical Engineering, Northwest University, Taibai Road 229#, Xi’an, 710069, China

    Bin Yang

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  1. Pan Jia
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  2. Yuan Wang
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  3. Yang Zhang
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  4. Bin Yang
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Correspondence to Yuan Wang.

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Jia, P., Wang, Y., Zhang, Y. et al. Relaxation algorithm-based PTV with dual calculation method and its application in addressing particle saltation. J Vis 18, 71–81 (2015). https://doi.org/10.1007/s12650-014-0228-z

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  • DOI: https://doi.org/10.1007/s12650-014-0228-z

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