Two-phase flow pattern identification in horizontal gas–liquid swirling pipe flow by machine learning method

Li, Wen; Lv, Xiaofei; Jiang, Sheng; Li, Huazheng; Zhou, Hao; Dou, Xiangji

doi:10.1016/j.anucene.2022.109644

Cited by 8 publications

(3 citation statements)

References 43 publications

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“…Machine learning models are established based on training data and are not influenced by physical constraints. The flow pattern of the gas–liquid two-phase was mainly identified by visualization research in the past, but it could not accurately capture the subtle variation in the flow pattern. , In recent years, machine learning methods have been introduced into the flow pattern identification of the gas–liquid two-phase, which could provide a reference for the advancement of flow pattern recognition technology. , The approximation solutions and higher flow pattern recognition accuracy can be obtained by using ML mechanisms for flow pattern recognition without simulation or a training data set. , Figure depicts the confusion matrix of the flow pattern recognition results using SVM and RF. There are 128 working conditions in the experiment.…”

Section: Resultsmentioning

confidence: 99%

“…82,83 In recent years, machine learning methods have been introduced into the flow pattern identification of the gas−liquid two-phase, which could provide a reference for the advancement of flow pattern recognition technology. 84,85 The approximation solutions and higher flow pattern recognition accuracy can be obtained by using ML mechanisms for flow pattern recognition without simulation or a training data set. 86,87 pattern for the data labels in Figure 17.…”

Section: R/s Analysismentioning

confidence: 99%

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Multiscale Turbulence Characteristics of Gas–Liquid Pressure Fluctuations in an Industrial Quatro Static Mixer

Yu,

Li,

Meng

et al. 2024

Ind. Eng. Chem. Res.

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The gas−liquid two-phase flow is of great significance to industrial production. The nonlinear turbulence characteristics of pressure fluctuation in a Quatro static mixer (QSM) are experimentally investigated under different superficial gas/liquid velocities to further study the flow characteristics of the gas−liquid two-phase. It is shown that there is a generalized self-similarity scaling law in the QSM, which is obtained by fitting the structure function of pressure fluctuation signals at different inlet and outlet flow velocities. Through self-similarity scaling law analysis, the scaling exponent parameters of the structure function of two-phase flow pressure fluctuation under apparent liquid velocity (U L ) = 0.028 m/s and different apparent gas velocities (U G ) in QSM are calculated. The calculation results show that the singular scaling exponent (γ) and intermittency parameter (β) are in the ranges of −0.142−0.311 and 0.286−0.966, respectively. This indicates that there exists an extended self-similarity scaling law in QSM under a low Reynolds number (Re). The R/S and autocorrelation analysis reveal that the detailed signals at the inlet and outlet have three similar flow behaviors, which consist of the liquid turbulence at the inlet, the bubble movement, breakup and coalescence, and the liquid swirling flow. The nonlinear analysis shows that flow in QSM presents a pseudohomogeneous flow pattern when the Hurst index (H) = 0.4−0.6, while it presents a heterogeneous flow pattern when H = 0.6−0.72. Support vector machine (SVM) and Random Forest models (RF) are utilized to better predict the flow pattern, with the recognition precision reaching 99.08 and 99.39%, respectively.

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Section: Resultsmentioning

confidence: 99%

Section: R/s Analysismentioning

confidence: 99%

Multiscale Turbulence Characteristics of Gas–Liquid Pressure Fluctuations in an Industrial Quatro Static Mixer

Yu,

Li,

Meng

et al. 2024

Ind. Eng. Chem. Res.

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“…Thermal performance coefficient was improved as 6%, until reaches the highest value with (Re =30000 and φ = 4%). Sowi et al [63] analyzed numerically and experimentally a innovates twisted tape inserted having linear increasing and decreasing of (PR)pitch ratio for three different types of nanofluid (SiC, Al2O3 and CuO) at Re (4000 -16,000) and φ = 1% to 3% by using ANSYS FLUENT with RNG K-ε turbulent model and used five geometries of TT, (TT PR 2), (TT LIPR 0,2), (TT LIPR 0.25), (TT LIPR 0.3) and (TT LDPR 0.25) are used for analysis. The using of (φ =1% of SiC) nanofluid with (TT has LIPR 0.25) simultaneously with Re=10000 raised overall enhancement ratio to 2.985.…”

Section: -2-1-1 Single Phase Flow With Twisted Tape Insertmentioning

confidence: 99%

A Review Study on Modifying Vortex Generators to Improve Thermal Performance in Single- and Two-Phase Flow in Circular Tubes

Alnasur,

AL-Turaihi

2024

Engineering Headway

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The literature about various modifications to the vortex generators as passive techniques and some combined techniques was discussed numerically and experimentally. In general, all vortex generators have a good coefficient of thermal performance compared to a plain tube. Most vortex generators don’t consume any amount of energy to perform their function, so can be considered a good tool to enhance the thermal performance coefficient in industrial applications, but they have the disadvantage of high pressure drop. When using vortex generators in two phase flow accelerated the process of transition between phases pattern in addition to increasing heat transfer. The inserted twisted tapes have a low pressure drop and good heat transfer efficiency, resulting in a thermal performance factor of 1.6.In addition, the easier to manufacture where can be changed in size and shape in proportion to the place of use inside the tubes also having a low cost, and do not consume any amount of energy to perform its function, the hybrid methods can be used with it, such as a twisted tape with nonfluids, which had proven effective in thermal performance coefficients, but their disadvantages include the high cost and risk of dealing with these materials ,bubble injectors can also be used, despite the fact that they require energy to operate. So, the twisted tapes inserted can be considered a best tool to be used in enhancing the thermal performance coefficient in various Industrial fields.Based on the reviewed literature, it was determined that the following research is limited and could garner more attention in the future: multiple coaxial cross-twisted tapes with different perforations, and twisted tapes with variable cross-section, typical twisted tapes with regular wavy edge, hybrid methods such as nanofluids and twisted tape can be used in multiphase flow.

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Heat transfer model for downward two-component two-phase flows in inclined pipes

Dong

Hibiki

2023

Applied Thermal Engineering

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Two-phase flow pattern identification in horizontal gas–liquid swirling pipe flow by machine learning method

Cited by 8 publications

References 43 publications

Multiscale Turbulence Characteristics of Gas–Liquid Pressure Fluctuations in an Industrial Quatro Static Mixer

Multiscale Turbulence Characteristics of Gas–Liquid Pressure Fluctuations in an Industrial Quatro Static Mixer

A Review Study on Modifying Vortex Generators to Improve Thermal Performance in Single- and Two-Phase Flow in Circular Tubes

Heat transfer model for downward two-component two-phase flows in inclined pipes

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