Characterization of the dissipation of elbow effects in bubbly two-phase flows

Yadav, Mohan; Worosz, Ted; Kim, Seung-Jin; Tien, Kirk; Bajorek, Stephen M.

doi:10.1016/j.ijmultiphaseflow.2014.07.012

Cited by 16 publications

(4 citation statements)

References 13 publications

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“…Air-water flow leads to a strong dissipation of the gas; the strongest dissipation was obtained between 3D and 9D upstream of an elbow (D -pipe diameter) [11]. Dissipation was found to be a linear function of Reynolds number [12].…”

Section: Introductionmentioning

confidence: 91%

Effect of the Concentration of Sand in a Mixture of Water and Sand Flowing through PP and PVC Elbows on the Minor Head Loss Coefficient

Wichowski¹,

Siwiec²,

Kalenik³

2019

Preprint

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The article presents the results of tests of minor head losses through PVC and PP elbows for a flow of water and mixtures of water and sand with grain sizes of up to 0.5 mm and concentrations of 5.6 g∙L-1, 10.84 g∙L-1, and 15.73 g∙L-1. The tests were carried out at variable flow velocities for three elbow diameters of 63, 75, and 90 mm. The flow rate, pressure difference in the tested cross-sections, and temperature of the fluids were measured and automatically recorded. The results of the measurements were used to develop mathematical models for determining the minor head loss coefficient as a function of elbow diameter, sand concentration in the liquid, and Reynolds number. The mathematical model was developed by cross validation. It was shown that when the concentration of sand in the liquid was increased by 1.0 g∙L-1, the coefficient of minor head loss through the elbows increased, in the Reynolds number range of 4.6∙104 − 2.1∙105, by 0.3−0.01% for PP63, 0.6−0.03 % for PP75, 1.1−0.06 % for PP90, 0.8−0.01 % for PVC63, 0.8−0.02 % for PVC75, and 0.9−0.04 % for PVC90. An increase in Re from 5∙104 to 2∙106 for elbows with diameters of 63, 75 and 90 mm caused a 7.3 %, 6.8 %, and 6.0 % decrease in the minor head loss coefficient, respectively.

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Section: Introductionmentioning

confidence: 91%

Effect of the Concentration of Sand in a Mixture of Water and Sand Flowing through PP and PVC Elbows on the Minor Head Loss Coefficient

Wichowski¹,

Siwiec²,

Kalenik³

2019

Preprint

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“…In order to calculate the covariance parameters, Talley proposed a void fraction profile reconstruction method to estimate the local void fraction [ 52 ], in which a 1D one-group IATE for horizontal flow was proved by the experiment with a small diameter horizontal pipe (38 mm) [ 52 ]. Yadav [ 55 ], Yadav et al [ 56 , 57 ], Qiao [ 58 ], Qiao and Kim [ 59 , 60 ], and Qiao et al [ 61 ] tried to study the interfacial structure in other orientation flows, but it was not enough. Although most of the work has focused on the straight pipe, two-phase flow undergoes various limitations such as elbows and tees in practice.…”

Section: Evaluation Of Frequency Models and Constitutive Models For Bubble Coalescence And Breakupmentioning

confidence: 99%

Interfacial Area Transport Equation for Bubble Coalescence and Breakup: Developments and Comparisons

Chen

Wei

Ding

et al. 2021

Entropy

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Bubble coalescence and breakup play important roles in physical-chemical processes and bubbles are treated in two groups in the interfacial area transport equation (IATE). This paper presents a review of IATE for bubble coalescence and breakup to model five bubble interaction mechanisms: bubble coalescence due to random collision, bubble coalescence due to wake entrainment, bubble breakup due to turbulent impact, bubble breakup due to shearing-off, and bubble breakup due to surface instability. In bubble coalescence, bubble size, velocity and collision frequency are dominant. In bubble breakup, the influence of viscous shear, shearing-off, and surface instability are neglected, and their corresponding theory and modelling are rare in the literature. Furthermore, combining turbulent kinetic energy and inertial force together is the best choice for the bubble breakup criterion. The reviewed one-group constitutive models include the one developed by Wu et al., Ishii and Kim, Hibiki and Ishii, Yao and Morel, and Nguyen et al. To extend the IATE prediction capability beyond bubbly flow, two-group IATE is needed and its performance is strongly dependent on the channel size and geometry. Therefore, constitutive models for two-group IATE in a three-type channel (i.e., narrow confined channel, round pipe and relatively larger pipe) are summarized. Although great progress in extending the IATE beyond churn-turbulent flow to churn-annual flow was made, there are still some issues in their modelling and experiments due to the highly distorted interface measurement. Regarded as the challenges to be addressed in the further study, some limitations of IATE general applicability and the directions for future development are highlighted.

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“…Electromagnetic methods have been used in many applications to measure two-phase flow void fractions [5,6,[20][21][22][23][24]. This method is based on the relationship between a specific electrical parameter and the void fraction.…”

Section: Introductionmentioning

confidence: 99%

“…Electromagnetic methods have been successful in several void fraction measurements in complex applications using specific signal processing procedures [5,20,21]. Furthermore, some specific electromagnetic sensor structures have successfully measured void fractions in complex flows [6,[22][23][24]. It is critical to recognize that the two-phase flow void fraction is not the only influencing factor on the electrical parameters of a device.…”

Section: Introductionmentioning

confidence: 99%

Void fraction measurement of lubricant air-oil two-phase flow using a near infrared optical-fiber spectrometer associated with partial least squares regression models

Zhou¹,

Cui²

2022

Meas. Sci. Technol.

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Motivated by recent research on two-phase flow void fraction measurement, this paper presents a study on void fraction measurements of a lubricant air-oil two-phase flow using a near infrared (NIR) optical-fiber spectrometer associated with partial least squares (PLS) regression models. To overcome the measurement inaccuracy due to interface scattering, this study used PLS regression models to analyse the spectrum of air-oil two-phase flow. First, an NIR optical-fiber spectrometer experimental system was developed. Second, a flow regime analysis was conducted for the bubble flow transition inside the experimental system. Finally, the PLS regression model validations, the void fraction measurement accuracies, and the uncertainties of the experimental system were evaluated and discussed, and the different PLS regression models were compared in detail. The results indicate that the NIR optical-fiber spectrometer combined with the PLS regression model can achieve void fraction measurements of lubricants in air-oil two-phase flow, with a maximum squared correlation coefficient (R2) of 0.981, a minimum Type A uncertainty of 0.039% and a minimum expanded uncertainty of 0.077%.

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Characterization of the dissipation of elbow effects in bubbly two-phase flows

Cited by 16 publications

References 13 publications

Effect of the Concentration of Sand in a Mixture of Water and Sand Flowing through PP and PVC Elbows on the Minor Head Loss Coefficient

Effect of the Concentration of Sand in a Mixture of Water and Sand Flowing through PP and PVC Elbows on the Minor Head Loss Coefficient

Interfacial Area Transport Equation for Bubble Coalescence and Breakup: Developments and Comparisons

Void fraction measurement of lubricant air-oil two-phase flow using a near infrared optical-fiber spectrometer associated with partial least squares regression models

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