Gas–liquid two-phase flowrate measurement in pseudo-slug flow with Venturi

Wu, Han; Xu, Ying; Wang, Jinghan; Yang, Yiguang; Li, Tao; Zhang, Tao; Li, Jianli; Hao, Chongzhi

doi:10.1016/j.flowmeasinst.2021.101887

Cited by 7 publications

(2 citation statements)

References 36 publications

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“…This work was carried out in the fluent module of ANSYS Workbench software using FEM method. It was regarded as an effective tool for the design and optimization of Venturi tubes [18] [19] [20]. As mentioned before, a three-jet flow needs a higher suction pressure that caused by negative pressure effect, while negative pressure effect is highly depends on flow velocity.…”

Section: Methods and Simulationmentioning

confidence: 99%

Design Optimization Analysis of Venturi Tube for Medium Conveying in Strengthen Grinding Process

Xiao¹,

Liang²,

Liu³

et al. 2021

ENG

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Venturi tubes are widely used in manufacture and chemical industry and attract broad attention. To improve the transmission efficiency, the optimization of Venturi tube has been carried out, the transport substances involved in either liquid, solid, gas or two of them. The Venturi tubes that used for conveying of three-phase flow, which is consisted of solid, liquid and gas, are poorly investigated. In this paper, a Venturi tube employed in one surface treatment equipment was proposed. The velocity and pressure distribution in the flow field of Venturi tube with different key geometric parameters including diameter ratio, convergence angle and diffuser angle have been studied. One optimal solution has been selected. The negative pressure of suction port can reach a value as high as −1550 Pa to −1600 Pa. Such negative pressure offers the opportunities for transporting mixed abrasive.

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Section: Methods and Simulationmentioning

confidence: 99%

Design Optimization Analysis of Venturi Tube for Medium Conveying in Strengthen Grinding Process

Xiao¹,

Liang²,

Liu³

et al. 2021

ENG

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“…The slightest RE of liquid phase on target domain samples is around 10%. Wu et al [12] measured the gas-liquid flow rates of pseudo-slug flow based on the differential pressure (DP) of Venturi. The liquid film region and pseudo-slug body region were distinguished at first, and then different models were used to calculate the flow rates in the liquid film and pseudo-slug body regions.…”

Section: Introductionmentioning

confidence: 99%

Gas–liquid intermittent flow rates measurement based on two-phase mass flow multiplier and neural network

Zhao

Bai

2021

Meas. Sci. Technol.

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Online flow rates measurement is encountered in many areas, and efforts are being committed to improving the accuracy of measurement, especially in intermittent flow. This paper concerns gas and liquid flow rates predictions in intermittent flow by fusing the information of the cone meter and conductance ring sensors. A novel correlation of two-phase mass flow multiplier (K) is derived from the separated flow model and modified by experiment data. The feed-forward neural network (FFNN) is used to established the predicted model of Lockhart-Martinelli parameter (X LM ). Five FFNNs with different input parameters are compared and results show that FFNNs with dual conductance ring sensor signals have better performance than those with differential pressures of cone meter. Then, the FFNN with conductance ring sensor signals as inputs is used to establish the X LM predicted model. The effect of temperature on the conductance of liquid is also innovatively considered in the neural network. Therefore, no extra reference conductance ring sensor is needed. Finally, combining the X LM model and K correlation, gas and liquid mass flow rates are measured. The relative error of the predicted liquid mass flow rate is less than ±5.0% at the confidence level of 99%. For the gas phase, the relative error is within ±15.0% at the confidence level of 98%. The newly developed metering method provides a high-accuracy as well as a cost-effective measurement method for the intermittent flow.

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