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Angular velocimetry for fluid flows: an optical sensor using structured light and machine learning
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DOI：10.1364/OE.417210.png)
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摘要
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Most velocimetry approaches for fluid flows measure linear components of the velocity vector; yet, the angular velocity components, particularly at small scales in turbulent flows, also need to be resolved to study energy transfer and other important flow characteristics. Here, we detail an optical sensor approach to determine a component of the angular velocity vector. This approach uses beams of structured light and a machine learning-based analysis. We discuss the methodology to train the machine learning model and test it in experimentally validated simulations. This approach represents an interesting new direction for fluid flow velocimetry which may be extended to sense other flow parameters by selecting different light structures. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.
Keyword:
VORTICITY
BEAMS
期刊
IF:
3.3
论文数:
6.1W
被引数:
14.3W
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引用论文
Fluid flow vorticity measurement using laser beams with orbital angular momentum.png)
OPTICS EXPRESS
OAAI
OPTICS EXPRESSIF3.3
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