Application of Electromagnetic Induction Technique to Measure the Void Fraction in Oil/Gas Two Phase Flow

Wahhab, Hasanain A. Abdul; Aziz, A. Rashid A.; Al-Kayiem, Hussain H.; Nasif, Mohammad Shakir; Reda, Mayameen N.

doi:10.1088/1757-899x/328/1/012030

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…The electrical method has high accuracy in detecting gas holdup, but it also has high requirements of detection media. Specifically, electrical capacitance tomography can only detect nonconductor fluid [9,10], electrical impedance tomography can only detect conductor fluid [11,12], and electrical magnetism tomography can only detect magnetic fluid [13]. Generally, electrical detection needs to integrate multiple methods, which increases the detection complexity.…”

Section: Introductionmentioning

confidence: 99%

Direct estimation of gas holdup in gas–liquid bubble column reactors using ultrasonic transmission tomography and artificial neural processing

Li¹,

Hu²,

Wang³

et al. 2022

Meas. Sci. Technol.

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Ultrasonic transmission tomography is an effective non-intrusive method for detecting gas–liquid two-phase flow patterns. A specific interest is the many processes whose reaction utilizes a bubble column, where the fast estimation of cross-sectional gas-holdup ratio is important for monitoring and control. In this study reference indirect image-based estimates were obtained from reconstructed tomographic data. Direct (non-image) estimation of the gas holdup ratio was also obtained using trained neural processing networks. Two forms were trialled: a generalized regression neural network; and a long short-term memory network. Comparison trials were carried out for single-bubble, dual-bubble, circulation and laminar flows. Relative cross-sectional gas holdup error was selected for evaluation. For the image-based indirect trials the Tikhonov regularization algorithm had the lowest error range: 2.15%–15.64%. For direct methods the long short-term memory network had the lowest error range: 0.41%–9.63%, giving better performance than the image-based methods. The experimental data were used to verify the effectiveness of the network. The root-mean-square error of the test metrics for generalized regression neural network and long short-term memory network were 6.4260 and 5.4282, respectively, indicating that long short-term memory network has higher performance in processing the data in this paper.

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Section: Introductionmentioning

confidence: 99%

Direct estimation of gas holdup in gas–liquid bubble column reactors using ultrasonic transmission tomography and artificial neural processing

Li¹,

Hu²,

Wang³

et al. 2022

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…In Wahhab et al's work, the electromagnetic induction technique of measuring the void fraction in a liquid/gas fuel flow was utilized. Results proved that electromagnetic induction is a feasible technique for the actual measurement of the void fraction in a diesel/compressed natural gas fuel flow [23]. Liu et al considered the shape of the anode ring of the fairing-type hall thruster and investigated the effect of magnetic field intensity and gradient on the temperature distribution of the anode ring through experimental measurements [24].…”

Section: Introductionmentioning

confidence: 99%

Numerical model and finite element simulation of arterial blood flow profile reconstruction in a uniform magnetic field

Liu

Yang

Duo

et al. 2020

J. Phys. D: Appl. Phys.

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Since arterial blood has both fluidity and conductivity, the arterial blood flow area is equivalent to an electric current source under the action of a static magnetic field, thus forming an electric field within a certain range of the human body. Therefore, the distribution of arterial blood flow can be reconstructed by using electrodes to obtain the potential difference signal on the skin's surface. In this paper, firstly, a three-dimensional (3D) finite element simulation model of a human forearm artery was established in COMSOL to simulate the potential distribution under a uniform magnetic field and extract the potential difference data. Then, based on the integral equation of the electromagnetic reciprocity theorem and the Maxwell equation, a numerical model of the reconstructed arterial flow profile was derived in detail. Finally, the arterial location, velocity resolution and flow volume were reconstructed and analyzed respectively. The simulation results show that the correlation between the reconstructed image and the given image is above 0.82 and the highest is 0.91, the resolution of velocity imaging is 0.046 m s−1, and the mean relative error of the volume of the reconstructed blood flow is 0.820%. The above results showed good numerical accuracy, indicating the theoretical feasibility of using a uniform electromagnetic field to reconstruct the distribution of arterial blood flow.

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Application of Electromagnetic Induction Technique to Measure the Void Fraction in Oil/Gas Two Phase Flow

Cited by 2 publications

References 14 publications

Direct estimation of gas holdup in gas–liquid bubble column reactors using ultrasonic transmission tomography and artificial neural processing

Direct estimation of gas holdup in gas–liquid bubble column reactors using ultrasonic transmission tomography and artificial neural processing

Numerical model and finite element simulation of arterial blood flow profile reconstruction in a uniform magnetic field

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