A robust image analysis technique for the study of horizontal air-water plug flow

Kong, Ran; Rau, Adam; Kim, Seung-Jin; Bajorek, Stephen M.; Tien, Kirk; Hoxie, Chris L.

doi:10.1016/j.expthermflusci.2018.12.001

Cited by 17 publications

(2 citation statements)

References 24 publications

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“…The eight-connected algorithm is used to scan all droplet contours after binarization processing [17]. As displayed in Fig.…”

Section: Extraction Of Droplet Characteristic Parametersmentioning

confidence: 99%

Atomization and Mixing Characteristics of Swirl‐Flow Atomizers in the Refining Industry

Jin

et al. 2020

Chem Eng & Technol

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Swirl atomizers are commonly used by refining and chemical companies to wash out ammonium chloride deposits. Experiments and numerical simulation were performed to investigate the atomization and mixing characteristics of swirl atomizers. The volume‐of‐fluid Lagrangian method was applied in the simulation, and its results were compared with experimental data to validate its accuracy. Results demonstrated that the entrainment effect of the airflow changed the atomization angle and coverage area of water. Momentum exchanges between water and airflow promoted the fracture of liquid membranes and formed small droplets.

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“…The eight-connected algorithm is used to scan all droplet contours after binarization processing [17]. As displayed in Fig.…”

Section: Extraction Of Droplet Characteristic Parametersmentioning

confidence: 99%

Atomization and Mixing Characteristics of Swirl‐Flow Atomizers in the Refining Industry

Jin

et al. 2020

Chem Eng & Technol

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“…Tomographic imaging can judge the flow pattern by measuring the three-dimensional distribution of the gas-liquid phase in the tube, which has the advantages of visualization and non-invasion. However, a large number of sensors are applied to construct the measurement array, and the measurement system is complex and requires an image reconstruction algorithm, which affects the real-time performance of image display and measurement [11][12][13][14][15][16]. In the high-speed camera method, a high-speed camera is adopted to record the gas-liquid flow image in the transparent test section to obtain the liquid holdup.…”

Section: Introductionmentioning

confidence: 99%

Liquid holdup modeling analysis in horizontal gas–liquid slug flow

Wei¹,

Liang²,

Pang³

et al. 2022

Meas. Sci. Technol.

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In slug flow, the wetted wall fraction and liquid holdup of the liquid film section are key parameters affecting the mass transfer and radial velocity distribution of the liquid film, the friction pressure drop, the momentum transfer between the two phases, and heat transfer characteristics. A modified wetted wall fraction and liquid holdup model based on the Modified Apparent Rough Surface (MARS) model is proposed in this study, which considers the friction coefficient and shear stress on the gas-wall, liquid-wall and gas-liquid interfaces and introduced the modified average interface velocity of the liquid film. Air-water slug flow experiments were in a 50mm diameter acrylic glass pipe equipped with a high-speed camera. The edge detection operator was optimized to obtain the wetted wall fraction and liquid holdup at the liquid film section based on image analysis technology. A comparative analysis of the model performance shows that the mean absolute percentage error (MAPE) of the wetted wall fraction model is 9.4%, and the 96.1% relative deviations are within the ±20% error band. The MAPE of the liquid holdup model is 8.04%, and 93.4% relative error is within the ±25% error band. The modified MARS model has good prediction ability for the wetted wall fraction and liquid holdup of the gas-liquid slug flow.

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Comparison of Dynamic Mode Decomposition and Deep Learning Techniques for Two-Phase Flows Analysis

Ramos

Darze

Nascimento

et al. 2020

Flow Turbulence Combust

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A robust image analysis technique for the study of horizontal air-water plug flow

Cited by 17 publications

References 24 publications

Atomization and Mixing Characteristics of Swirl‐Flow Atomizers in the Refining Industry

Atomization and Mixing Characteristics of Swirl‐Flow Atomizers in the Refining Industry

Liquid holdup modeling analysis in horizontal gas–liquid slug flow

Comparison of Dynamic Mode Decomposition and Deep Learning Techniques for Two-Phase Flows Analysis

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