Abstract
Statistical performance of three-dimensional (3D) color particle tracking velocimetry (PTV) method based on the digital slit calibration proposed earlier by Noto et al. (Exp Fluids 62(6):1–13, 2021) was evaluated. The method utilizes only a color camera and a consumer-grade liquid crystal display projector (LCDP), and thus cost for implementation is significantly lower than that required for a tomographic system. Employment of an artificial neural network system enables to eliminate human decisions in constructing a color-to-depth conversion function. The method was examined in laminar and turbulent states of Rayleigh–Bénard convection of water. The method reconstructed 3D flow fields and was able to capture the same statistics of velocity components in the in-plane and out-of-plane directions in the turbulent state. The results promise that the proposed low-cost, less expensive and quick, methodology has a potential to be an alternative to the state-of-the-art tomographic measurements.
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The data acquired during this study is available from the corresponding author on reasonable request.
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Funding
The authors acknowledge financial supports by a Grant-in-Aid for Japan Society for Promotion of Science (JSPS) Fellows (Grant No. JP19J20096) and JSPS KAKENHI (Grant No. JP21H04538).
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Daisuke Noto: Acquisition of funding, conception and design of study, acquisition, analysis and interpretation of data, drafting the manuscript. Yuji Tasaka: Revising the manuscript. Yuichi Murai: Acquisition of funding, revising the manuscript.
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Noto, D., Tasaka, Y. & Murai, Y. Low-cost 3D color particle tracking velocimetry: application to thermal turbulence in water. Exp Fluids 64, 92 (2023). https://doi.org/10.1007/s00348-023-03638-3
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DOI: https://doi.org/10.1007/s00348-023-03638-3