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Three-dimensional color particle image velocimetry based on a cross-correlation and optical flow method |
| Liang Shan(单良)1,†, Jun-Zhe Xiong(熊俊哲)1,†, Fei-Yang Shi(施飞杨)1, Bo Hong(洪波)1, Juan Jian(简娟)1, Hong-Hui Zhan(詹虹晖)1, and Ming Kong(孔明)2,‡ |
1 Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou 310018, China;
2 College of Metrology&Measurement Engineering, China Jiliang University, Hangzhou 310018, China |
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Abstract Rainbow particle image velocimetry (PIV) can restore the three-dimensional velocity field of particles with a single camera; however, it requires a relatively long time to complete the reconstruction. This paper proposes a hybrid algorithm that combines the fast Fourier transform (FFT) based co-correlation algorithm and the Horn-Schunck (HS) optical flow pyramid iterative algorithm to increase the reconstruction speed. The Rankine vortex simulation experiment was performed, in which the particle velocity field was reconstructed using the proposed algorithm and the rainbow PIV method. The average endpoint error and average angular error of the proposed algorithm were roughly the same as those of the rainbow PIV algorithm; nevertheless, the reconstruction time was 20% shorter. Furthermore, the effect of velocity magnitude and particle density on the reconstruction results was analyzed. In the end, the performance of the proposed algorithm was verified using real experimental single-vortex and double-vortex datasets, from which a similar particle velocity field was obtained compared with the rainbow PIV algorithm. The results show that the reconstruction speed of the proposed hybrid algorithm is approximately 25% faster than that of the rainbow PIV algorithm.
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Received: 05 September 2022
Revised: 02 December 2022
Accepted manuscript online: 11 January 2023
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PACS:
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47.80.Cb
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(Velocity measurements)
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47.54.De
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(Experimental aspects)
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47.80.Jk
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(Flow visualization and imaging)
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| Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 51874264 and 52076200). |
Corresponding Authors:
Ming Kong
E-mail: mkong@cjlu.edu.cn
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Cite this article:
Liang Shan(单良), Jun-Zhe Xiong(熊俊哲), Fei-Yang Shi(施飞杨), Bo Hong(洪波), Juan Jian(简娟), Hong-Hui Zhan(詹虹晖), and Ming Kong(孔明) Three-dimensional color particle image velocimetry based on a cross-correlation and optical flow method 2023 Chin. Phys. B 32 054702
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