Improved two-color LIF thermometry for gas–liquid system by optical flow algorithm

In this work, a two-color laser-induced fluorescence (LIF) thermometry approach for 2D (2 dimension) temperature field visualization in gas–liquid system is presented, which is still challenging in complex flow field changing rapidly with time and space. Our experiment shows that temperature deviati...

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Veröffentlicht in:	Experiments in fluids Jg. 62; H. 6
Hauptverfasser:	Zhou, Jiangning, Yang, Wenbin, Yin, Yimin, Zhou, Quan, Chen, Shuang, Du, Yu, Mu, Jinhe
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2021 Springer Nature B.V
Schlagworte:	Algorithms Color Deviation Engineering Engineering Fluid Dynamics Engineering Thermodynamics Error analysis Fluid- and Aerodynamics Gas-liquid systems Heat and Mass Transfer Heat flux Image enhancement Image registration Laser induced fluorescence Misalignment Optical flow (image analysis) Pixels Position measurement Research Article Temperature distribution Temperature measurement Thermometry
ISSN:	0723-4864, 1432-1114
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Abstract	In this work, a two-color laser-induced fluorescence (LIF) thermometry approach for 2D (2 dimension) temperature field visualization in gas–liquid system is presented, which is still challenging in complex flow field changing rapidly with time and space. Our experiment shows that temperature deviation from two-color LIF image misalignment in few pixels scale can be the main source for temperature measurement error, especially at gas–liquid boundaries with high relative gradient value. In spatial modulated PL images with 0.2/pixel relative gradient value, temperature deviation estimated to be ~ 85.0 ℃ at temperature 25.0 ℃ under 1 pixel position, which is far from measurement error observed in uniformly PL intensity distributed images (6.0 ℃ maximum measurement error in 20.0–100.0 ℃). According to this problem, a nonlinear image registration method based on optical flow algorithm is proposed to enhance image registration accuracy. Relative ratio deviation is significantly reduced from maximum value 60 to < 10% in position deviation ranging from 1 to 15 pixels and corresponding temperature deviation value can be effectively reduced from maximum value ~ 75 ℃ to < 10.0 ℃ in the temperature ranging from 19.0 to 94.0 ℃. Finally, accurate 2D temperature distribution data and corresponding heat flux in liquid around hot steam bubble can be visualized by this convenient and low-cost thermometry method. Graphical abstract
AbstractList	In this work, a two-color laser-induced fluorescence (LIF) thermometry approach for 2D (2 dimension) temperature field visualization in gas–liquid system is presented, which is still challenging in complex flow field changing rapidly with time and space. Our experiment shows that temperature deviation from two-color LIF image misalignment in few pixels scale can be the main source for temperature measurement error, especially at gas–liquid boundaries with high relative gradient value. In spatial modulated PL images with 0.2/pixel relative gradient value, temperature deviation estimated to be ~ 85.0 ℃ at temperature 25.0 ℃ under 1 pixel position, which is far from measurement error observed in uniformly PL intensity distributed images (6.0 ℃ maximum measurement error in 20.0–100.0 ℃). According to this problem, a nonlinear image registration method based on optical flow algorithm is proposed to enhance image registration accuracy. Relative ratio deviation is significantly reduced from maximum value 60 to < 10% in position deviation ranging from 1 to 15 pixels and corresponding temperature deviation value can be effectively reduced from maximum value ~ 75 ℃ to < 10.0 ℃ in the temperature ranging from 19.0 to 94.0 ℃. Finally, accurate 2D temperature distribution data and corresponding heat flux in liquid around hot steam bubble can be visualized by this convenient and low-cost thermometry method. Graphical abstract In this work, a two-color laser-induced fluorescence (LIF) thermometry approach for 2D (2 dimension) temperature field visualization in gas–liquid system is presented, which is still challenging in complex flow field changing rapidly with time and space. Our experiment shows that temperature deviation from two-color LIF image misalignment in few pixels scale can be the main source for temperature measurement error, especially at gas–liquid boundaries with high relative gradient value. In spatial modulated PL images with 0.2/pixel relative gradient value, temperature deviation estimated to be ~ 85.0 ℃ at temperature 25.0 ℃ under 1 pixel position, which is far from measurement error observed in uniformly PL intensity distributed images (6.0 ℃ maximum measurement error in 20.0–100.0 ℃). According to this problem, a nonlinear image registration method based on optical flow algorithm is proposed to enhance image registration accuracy. Relative ratio deviation is significantly reduced from maximum value 60 to < 10% in position deviation ranging from 1 to 15 pixels and corresponding temperature deviation value can be effectively reduced from maximum value ~ 75 ℃ to < 10.0 ℃ in the temperature ranging from 19.0 to 94.0 ℃. Finally, accurate 2D temperature distribution data and corresponding heat flux in liquid around hot steam bubble can be visualized by this convenient and low-cost thermometry method.
ArticleNumber	125
Author	Zhou, Quan Mu, Jinhe Yang, Wenbin Zhou, Jiangning Chen, Shuang Yin, Yimin Du, Yu
Author_xml	– sequence: 1 givenname: Jiangning surname: Zhou fullname: Zhou, Jiangning email: zhoujiangning369@163.com organization: State Key Laboratory of Aerodynamics, China Aerodynamic Research and Development Center – sequence: 2 givenname: Wenbin surname: Yang fullname: Yang, Wenbin organization: State Key Laboratory of Aerodynamics, China Aerodynamic Research and Development Center – sequence: 3 givenname: Yimin surname: Yin fullname: Yin, Yimin organization: State Key Laboratory of Aerodynamics, China Aerodynamic Research and Development Center – sequence: 4 givenname: Quan surname: Zhou fullname: Zhou, Quan organization: State Key Laboratory of Aerodynamics, China Aerodynamic Research and Development Center – sequence: 5 givenname: Shuang surname: Chen fullname: Chen, Shuang email: chenshuang56@126.com organization: State Key Laboratory of Aerodynamics, China Aerodynamic Research and Development Center – sequence: 6 givenname: Yu surname: Du fullname: Du, Yu organization: CNNC Key Laboratory on Nuclear Reactor Thermal Hydraulics Technology, Nuclear Power Institute of China – sequence: 7 givenname: Jinhe surname: Mu fullname: Mu, Jinhe organization: State Key Laboratory of Aerodynamics, China Aerodynamic Research and Development Center
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Cites_doi	10.1115/1.2976553 10.1063/1.3590929 10.1007/s00348-018-2506-3 10.1007/s00348-020-2909-9 10.1007/s00348-008-0572-7 10.1007/s00216-008-2467-0 10.1016/j.ijleo.2019.01.076 10.1007/s00348-016-2142-8 10.1364/OE.24.004949 10.1007/s00348-018-2672-3 10.1063/1.4927687 10.1007/s00348-013-1527-1 10.1007/s00348-008-0604-3 10.1364/AO.58.000001 10.1007/s00348-011-1131-1 10.1007/s00348-003-0748-0 10.1016/j.applthermaleng.2015.10.084 10.1007/s00348-008-0506-4 10.1006/cviu.2000.0874 10.1109/34.990137 10.1016/0004-3702(81)90024-2 10.1038/s41377-020-0245-8 10.1007/s00348-010-0838-8 10.2514/6.2014-2329 10.2514/6.2014-0929
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Snippet	In this work, a two-color laser-induced fluorescence (LIF) thermometry approach for 2D (2 dimension) temperature field visualization in gas–liquid system is...
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SubjectTerms	Algorithms Color Deviation Engineering Engineering Fluid Dynamics Engineering Thermodynamics Error analysis Fluid- and Aerodynamics Gas-liquid systems Heat and Mass Transfer Heat flux Image enhancement Image registration Laser induced fluorescence Misalignment Optical flow (image analysis) Pixels Position measurement Research Article Temperature distribution Temperature measurement Thermometry
Title	Improved two-color LIF thermometry for gas–liquid system by optical flow algorithm
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