Local characteristic of horizontal air–water two-phase flow by wire-mesh sensor

Liu, Weiling; Tan, Chao

doi:10.1177/0142331216665689

Cited by 9 publications

(3 citation statements)

References 48 publications

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“…Air-water two-phase flow was the forking fluid in a horizontal pipe of internal diameter 19.5 mm and an aggregate length of 6 m. The results revealed that the stratified, plug, slug, and annular flow regimes were identified using the Probability Density Function (PDF) technique. Liu et al [10] presented an experimental study using Wire mesh sensor (WMS) to capture the two-phase flow patterns of air-water flow in a horizontal pipe of 50 mm internal diameter, the probability density function (PDF) technique and a void fraction (α) of time series were used to improve the results. The results presented different flow patterns such as Stratified, Wavy, Annular flow, plug, and slug flow regimes at different values of superficial velocities.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of Two-Phase Flow Patterns in a Vertical to Horizontal Bend Pipe Using Wire-Mesh Sensor

Abdulkareem¹,

Musa²,

Mahmood³

et al. 2021

Rev. Chim.

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The air-water two-phase flow plays an important role in many applications of industry fields. Usually, a 90-degree bend is used to connect pipes for changing the direction of flow which influences the two-phase flow pattern. In this paper, the effect of 90-degree bend under different ranges of gas and liquid superficial velocities on the two-phase flow patterns in the horizontal pipe located after the bend was experimentally investigated, and then results were presented and compared in a two-phase flow pattern map. Also, tomographic images and probability density functions were used to capture the cross-section void fraction and its distribution for the two-phase flow patterns. The results revealed that at low liquid and gas flow rates, a stratified-wavy flow pattern was observed as a dominant flow pattern. While the wavy-annular and semiannular flow patterns were observed at a high range of gas flow rates in the horizontal pipe. The results also showed that at the high range of liquid flow rate, bubbly, plug, slug, stratified-wavy, and wavy-annular flow patterns were observed in the horizontal pipe when the gas flow increased. The tomographic images and probability density functions gave good agreement with the experimental observations and results.

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Section: Introductionmentioning

confidence: 99%

Experimental Investigation of Two-Phase Flow Patterns in a Vertical to Horizontal Bend Pipe Using Wire-Mesh Sensor

Abdulkareem¹,

Musa²,

Mahmood³

et al. 2021

Rev. Chim.

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“…They observed the following flow regimes in the horizontal pipe: annular-wavy, slug, bubbly, and stratified flow under air superficial velocities from 0.23 to 10.5m/s and water superficial velocities from 0.05 to 1.7m/s by using WMS to obtain the void fraction values. Authors in [11] identified the flow of air-water patterns in a horizontal pipe of 5cm diameter by using WMS and they improved the possibility of identification flow patterns by PDF and void fraction of time series correlation technique. Many techniques have been utilized to characterize the flow patterns of the gas-liquid flow, such as X-ray tomography [2], Wire-Mesh Sensor (WMS) [12], and Electrical Capacitance Tomography (ECT).…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of the Two-Phase Flow Patterns of Air-Water Mixture at Vertical Bend Inlet and Outlet

Musa

Abdulkareem

Ali

2019

Eng. Technol. Appl. Sci. Res.

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Air-water two-phase flow in pipes introduces a noticeable challenge due to the complexity of the fluids. Thus, to estimate the best design and reasonable financing cost of the transportation pipelines where the bends are presenting a part of their accessories, the investigators should have been able to estimate the flow regime occurring at different directions. An experiment was carried out by using a 90o bend fixed with two pipes where the flow was upstream from a vertical to a horizontal pipe which were representing the bend inlet and outlet respectively. Two wire-mesh sensors were used for obtaining the data of the void fractions (α) at water superficial velocities (Usl) which changed from 0.052 to 0.419m/s, and air superficial velocities (Usg) from 0.05 to 4.7m/s. Furthermore, the characterization of flow regimes of the air-water flow at both bend inlet and outlet were competed accurately by using void fraction analysis of the time series, Power Spectral Density (PSD), tomographic images observed by the sensor program, and the Probability Density Function (PDF) method. The flow regimes of vertical flow lines at the bend inlet were observed as bubbly, cap-bubble, slug, and churn flow, whereas the flow regimes of the horizontal flow line at the bend outlet were characterized as having stratified, stratified wavy, bubbly, plug, slug, wavy annular, and semi-annular flow due to the gravity and bend effects.

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“…It is greatly required in the area of production process and industrial control due to its capability of providing spatial distribution in an opaque domain. There are many tomographic modalities that exist using various of physical information of the fluid, including ionizing radiation (Boden et al, 2008), electrical fields (Liu et al, 2016;Tan et al, 2019b), microwave (Carrigan et al, 2019), laser irradiation (Schleicher et al, 2008) and ultrasound (Xu and Xu, 1998). Ultrasonic wave can penetrate through vessels and the fluids without affecting the flow state, making itself a non-intrusive and non-invasive sensing technique in process tomography (Rahim et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Continuous-wave ultrasonic tomography for oil/water two-phase flow imaging using regularized weighted least square framework

Líu

Tan

2019

Transactions of the Institute of Measurement and Control

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Two-phase flow is a regime that commonly existed in many applications of process industry, on which the technique of ultrasonic tomography (UT) could provide reliable measurement with benefits of non-invasion, non-radiation and low-cost. In order to provide considerable visualization of low acoustic impedance contrast configurations in two-phase flow, a regular weighted simultaneous algebraic reconstruction technique (RW-SART) using continuous-wave excitation is proposed and presented in detail. With measurement strategy and formulized reconstruction model introduced, the measurement system is introduced with modification on continuous-wave excitation module and fan-beam angle transducers. A regularized weighted least square (RWLS) framework combining total variation (TV) regularization and SART reconstruction is derived and presented in detail to address the problem that under-determined and ill-conditioned situation couldn’t be resolved simultaneously. Both numerical simulation and experimental investigation are conducted to validate the feasibility of continuous-wave excitation and the improvement of proposed reconstruction strategy, from which the distribution of oil-water two-phase flow is effectively reconstructed. The implementation of measurement system provides an option of continuous high-voltage excitation and measurement in UT. By utilizing both the geometric information and penalty constraint, the proposed reconstruction approach provides a framework that introduces regularization information to the algebraic iteration reconstruction. Consequently, it has better reconstruction result than TV, Landweber, L1, filtered back projection (FBP) and SART method.

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Local characteristic of horizontal air–water two-phase flow by wire-mesh sensor

Cited by 9 publications

References 48 publications

Experimental Investigation of Two-Phase Flow Patterns in a Vertical to Horizontal Bend Pipe Using Wire-Mesh Sensor

Experimental Investigation of Two-Phase Flow Patterns in a Vertical to Horizontal Bend Pipe Using Wire-Mesh Sensor

Experimental Study of the Two-Phase Flow Patterns of Air-Water Mixture at Vertical Bend Inlet and Outlet

Continuous-wave ultrasonic tomography for oil/water two-phase flow imaging using regularized weighted least square framework

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