Different configurations of capacitance sensor for gas/oil two phase flow measurement: An experimental and numerical study

Salehi, Seyed Milad; Karimi, Hajir; Moosavi, Rouhollah; Dastranj, Ali Akbar

doi:10.1016/j.expthermflusci.2016.11.027

Cited by 45 publications

(24 citation statements)

References 24 publications

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“…The observed flow patterns varied with pipe orientation and flow conditions. The HSCI clearly captured and helped in identifying and distinguishing the generated patterns [4,[60][61][62][63][64][65]. These typical patterns were small bubble, plug, elongated bubble, slug, slug churn, stratified, stratified wavy and annular, as shown in the snapshots presented in Figure 8 for all the tested conditions.…”

Section: Effect Of Gas-liquid Superficial Velocities On Liquid Holdupmentioning

confidence: 83%

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Investigating the Characteristics of Two-Phase Flow Using Electrical Capacitance Tomography (ECT) for Three Pipe Orientations

et al. 2020

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Experiments of gas–liquid flow in a circular pipe for horizontal and inclined positions (upward/downward) are reported. The characteristics of two-phase flow in terms of liquid holdup (ε(L)) and induced flow patterns are studied using three experimental techniques; time-averaged ε(L) from permittivity profiles using electrical capacitance tomography (ECT), instantaneous ε(L) using two fast-closing valves (TFCV), and high-speed camera images (HSCI) to capture/identify the formed flow patterns. Thus, this experimental setup enables the development of more well-defined flow patterns in gas–liquid two-phase flow and allows for multi-technique verification of the results. Taken from experimental measurements, a model is proposed to predict ε(L) for high and low situations. The correlations are a function of the hydrodynamic dimensionless quantities which provide hydrodynamic similarity. Regarding different pipe orientations, ε(L) predictions are comparable to ε(L) from experimental measurements with accepted accuracy: 88% of the predictions are within ±5–15% and 98% are below ±20%. The correlations also were validated by reported results and against correlations available in the literature and show higher prediction accuracy. It is confirmed that the kinematic similarity which is achieved by the gas–liquid velocity ratios and the inertial forces influence the flow pattern and the liquid holdup.

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Section: Effect Of Gas-liquid Superficial Velocities On Liquid Holdupmentioning

confidence: 83%

“…It is impractical to stop the operation and disturb the flow pattern as well as the holdup in real-operation conditions using the TFCV. Despite the fact that the ECT technique is expensive, it has no effect on the flow inside the pipe so it is used to save operational time and costs [20,59,60].…”

Section: Gas-liquid Flow Pattern Characteristics Using Ectmentioning

confidence: 99%

Investigating the Characteristics of Two-Phase Flow Using Electrical Capacitance Tomography (ECT) for Three Pipe Orientations

et al. 2020

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“…The optical fiber sensor has a fine resolution and large bandwidth but a clean test environment is needed, which greatly limits its application [ 28 ]. The capacitive sensor [ 29 ] obtains the blade arrival times by using the change of capacitance between the probe and the blade tip. But the measurement accuracy is susceptible to the influence of the measured media.…”

Section: Related Workmentioning

confidence: 99%

A Blade Defect Diagnosis Method by Fusing Blade Tip Timing and Tip Clearance Information

Zhang

Duan

2018

Sensors

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Blade tip timing (BTT) technology is considered the most promising method for blade vibration measurements due to the advantages of its simplicity and non-contact measurement capacity. Nevertheless, BTT technology still suffers from two problems, which are (1) the requirements of domain expertise and prior knowledge of BTT signals analysis due to severe under-sampling; and (2) that the traditional BTT method can only judge whether there is a defect in the blade but it cannot judge the severity and the location of the defect. Thus, how to overcome the above drawbacks has become a big challenge. Aiming at under-sampled BTT signals, a feature learning method using a convolutional neural network (CNN) is introduced. In this way, some new fault-sensitive features can be adaptively learned from raw under-sampled data and it is therefore no longer necessary to rely on prior knowledge. At the same time, research has found that tip clearance (TC) is also very sensitive to the blade state, especially regarding defect severity and location. A novel analysis method fusing TC and BTT signals is proposed in this paper. The goal of this approach is to integrate tip clearance information with tip timing information for blade fault detection. The method consists of four key steps: First, we extract the TC and BTT signals from raw pulse data; second, TC statistical features and BTT deep learning features will be extracted and fused using the kernel principal component analysis (KPCA) method; then, model training and selection are carried out; and finally, 16 sets of experiments are carried out to validate the feasibility of the proposed method and the classification accuracy achieves 95%, which is far higher than the traditional diagnostic method.

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“…3D-FEM (Three-dimensional finite element method) is a recognized and flexible simulation tool to accurately simulate the thermal behavior of 3D devices such as sensors [31], connectors [1], bus bars [28], power transformers [33] or to model spray evaporative cooling processes [34], among others. The model applied in this research performs a Multiphysics electric-thermal analysis using the commercial Comsol software [35].…”

Section: Fem Modelmentioning

confidence: 99%

Application of reduced scale tests to improve the thermal performance of high-voltage substation connectors

Abomailek

Riba

Torrens

2018

Experimental Heat Transfer

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The thermal behavior of high-voltage substation connectors is a critical aspect that must be considered during the design stage. Most research about the thermal performance of substation connector devices is based on full scale models. This paper proposes a downscaling method to evaluate the thermal performance of reduced scale substation connectors. The theoretical results attained in this paper were validated by means of FEM simulations and experimental tests. Reduced scale simulation and testing will be an essential tool for assessing the thermal performance of substation connectors and other electrical equipment during the design and validation stages.

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Different configurations of capacitance sensor for gas/oil two phase flow measurement: An experimental and numerical study

Cited by 45 publications

References 24 publications

Investigating the Characteristics of Two-Phase Flow Using Electrical Capacitance Tomography (ECT) for Three Pipe Orientations

Investigating the Characteristics of Two-Phase Flow Using Electrical Capacitance Tomography (ECT) for Three Pipe Orientations

A Blade Defect Diagnosis Method by Fusing Blade Tip Timing and Tip Clearance Information

Application of reduced scale tests to improve the thermal performance of high-voltage substation connectors

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