A CFD simulation for the ultrasonic flow meter with a header

Liu, Enbin; Tan, Huan; Peng, Shanbi

doi:10.17559/tv-20170331111752

Cited by 7 publications

(4 citation statements)

References 15 publications

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“…The near-wall model method is more suitable for simulating the model wall formed by the trailing oil [24]. For the formation of the trailing oil layer, we adopted the volume of fluid (VOF) model in the multiphase flow model, and we used a structured hexahedron for the mesh [25,26]. We selected the velocity-inlet boundary condition and set the exit boundary as the outflow condition.…”

Section: Modelmentioning

confidence: 99%

Formation Mechanism of Trailing Oil in Product Oil Pipeline

Liu

Hong-jun

et al. 2018

Processes

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Trailing oil is the tail section of contamination in oil pipelines. It is generated in batch transportation, for which one fluid, such as diesel oil follows another fluid, such as gasoline, and it has an effect on the quality of oil. This paper describes our analysis of the formation mechanism of trailing oil in pipelines and our study of the influence of dead-legs on the formation of trailing oil. We found that the oil replacement rate in a dead-leg is exponentially related to the flow speed, and the length of the dead-leg is exponentially related to the replacement time of the oil. To reduce the amount of mixed oil, the main flow speed should be kept at about 1.6 m/s, and the length of the dead-leg should be less than five times the diameter of the main pipe. In our work, the Reynolds time-averaged method is used to simulate turbulence. To obtain contamination-related experimental data, computational fluid dynamics (CFD) software is used to simulate different flow rates and bypass lengths. MATLAB software was used to perform multi-nonlinear regression for the oil substitution time, the length of the bypass, and the flow speed. We determined an equation for calculating the length of the trailing oil contamination produced by the dead-leg. A modified equation for calculating the length of the contamination was obtained by combining the existing equation for calculating the length of the contamination with new factors based on our work. The amounts of contamination predicted by the new equation is closer to the actual contamination amounts than predicted values from other methods suggested by previous scholars.

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Section: Modelmentioning

confidence: 99%

Formation Mechanism of Trailing Oil in Product Oil Pipeline

Liu

Hong-jun

et al. 2018

Processes

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“…The near wall model method is more suitable for simulating the model wall formed by trailing oil [24]. For the formation of trailing oil layer, we adopted the volume of fluid (VOF) model in the multiphase flow model, and we used a structured hexahedron to mesh [25,26]. We selected the velocity-inlet boundary condition and set the exit boundary as the outflow condition.…”

Section: Density(kg/m 3 )mentioning

confidence: 99%

Research on Formation Mechanism of Trailing Oil in Product Oil Pipeline

Liu¹,

Li²,

Cai³

et al. 2018

Preprint

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Trailing oil is the tail section of contamination. There are two main reasons for the formation of trailing oil, one is the effect of laminar flow boundary layer, the other is the outflow of the preceding batch remained in the dead-legs. In the batch transportation of refined oil, under the action of viscous force, the preceding batch forms laminar boundary layer near the pipe wall and stays on the pipe wall, resulting in the phenomenon of contamination trailing and formation of trailing oil. When oil passes through the valve chamber of the oil transportation station, dead-leg will be formed. Due to gravity and convection diffusion, preceding batch flowing from dead-legs will form trailing oil in the pipeline. The phenomenon of trailing oil exists in the process of batch transportation, which will have an effect on the quality of oil. In this paper, Reynolds time-averaged method is used to simulate turbulence.Computational Fluid Dynamics(CFD) software is used to simulate different flow rates and bypass lengths to obtain contamination-related experimental data.Matlab software is used to perform multi-nonlinear regression for the oil substitution time, the length of the bypass and the flow rate. The formula for calculating the length of the trailing oil produced by the dead-leg is obtained. The modified formula for calculating the length of the contamination is obtained by combining the existing formula for calculating the length of the contamination.

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“…Liu et al conducted a CFD simulation analysis of natural gas flow after a pipe fitting connection and specified the requirements for ultrasonic flow meter installation. 25 The foregoing ultrasonic flow metering studies focused on analyzing the relationship between ultrasound and natural gas. By improving the angle of incidence of the ultrasonic wave, wave field, and transducer, metrological errors are reduced.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic gas flow metering in hydrogen-mixed natural gas using Lamb waves

Ji,

Jia,

et al. 2023

AIP Advances

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Hydrogen mixing in existing natural gas pipelines efficiently achieves large-scale, long-distance, and low-cost hydrogen delivery. The physical properties of hydrogen and natural gas differ significantly. Hydrogen-mixed natural gas modifies the flow state and thermodynamic properties of the original natural gas in the pipeline. Hydrogen-mixed natural gas can lead to increased errors in ultrasonic flow metering because of the high sound speed and low density of hydrogen. Ultrasonic flowmeter installation distances need to be re-determined. In this study, a Lamb wave non-contact ultrasonic gas flow meter is used to measure the flow of hydrogen-mixed natural gas in a T-type pipeline. The greater the hydrogen mixing ratio, the higher the flow rate of the branch pipeline, and the shorter the installation distance of the ultrasonic flow meter, for example, 10% at 150D, 20% at 110D, and 30% at 20D. The time-difference method with high accuracy and broad applicability is used to calculate the flow rates of COMSOL simulated values. The errors between COMSOL simulation and theoretical flow rates at the shortest installation distance downstream do not exceed 3%. The errors at the position where the mixing uniformity is 80% are significantly higher than those at the shortest installation distance, and the maximum error is about 7.7%. The COMSOL simulation results show the feasibility and accuracy of ultrasonic gas flow metering of hydrogen-mixed natural gas.

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A CFD simulation for the ultrasonic flow meter with a header

Cited by 7 publications

References 15 publications

Formation Mechanism of Trailing Oil in Product Oil Pipeline

Formation Mechanism of Trailing Oil in Product Oil Pipeline

Research on Formation Mechanism of Trailing Oil in Product Oil Pipeline

Ultrasonic gas flow metering in hydrogen-mixed natural gas using Lamb waves

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