Initial Study of a Wire Mesh Tomography Sensor for Liquid/Gas Component Investigation

Rahiman, Mohd Hafiz Fazalul; Siow, Lean Thiam; Rahim, Ruzairi Abd.; Zakaria, Zulkarnay; Ang, Vernoon

doi:10.5370/jeet.2015.10.5.2205

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…The accuracy of void fraction measurement by WMT has been well confirmed to be sufficiently high in both previous studies [11,20] and in this investigation. In general, the error of WMT measurement of void fraction has been reported to be less than 10% by comparing WMT measured data with that of either gamma-densitometry or digital image processing.…”

Section: Measurement Errorsupporting

confidence: 87%

Simultaneous Measurement of Two-Phase Flow Parameters for Drift-Flux Model

Nguyen¹

2021

IJHT

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The drift-flux model is widely used in study, calculation and design of two-phase flow. It is a highly efficient model that requires little computation resources. In the model, accurate calculation of the distribution parameter C0 and the drift velocity Vgj is a critically important factor. The calculation requires simultaneously measured data of phase velocity and void fraction distributions or profiles. By using currently widely used methods for two-phase flow measurement, satisfying the requirement is highly difficult. This paper presents novel results of simultaneous measurement of the phase velocity and void fraction profiles in a vertical round tube of 50 mm inner diameter. A combination measurement method has been developed. It comprises the multiwave Ultrasonic Velocity Profile (multiwave UVP) method and the Wire Mesh Tomography (WMT). Based on the measured data, C0 and Vgj have been calculated. They have been compared with those of the published experimental data and correlations. Analyses of the measured data have been carried out. For the first time, the analysis results reveal the variation of C0 and Vgj in the measured flow conditions. More importantly, the data obtained are also useful for the development and validation of the computational codes for two-phase flow.

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Section: Measurement Errorsupporting

confidence: 87%

Simultaneous Measurement of Two-Phase Flow Parameters for Drift-Flux Model

Nguyen¹

2021

IJHT

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“…The electrical characteristics can be used to generate the flow's derived parameters [12]. Basically, the principal of the system is sensor-based flow tomography [13]. The system can be described as a hybrid solution between invasive local measurement of phase fraction [14] and tomographic cross-sectional imaging [15].…”

Section: Introductionmentioning

confidence: 99%

Capacitance Distribution Analysis Using Wire Mesh Sensor 16×16:

Andiani

Utami²

2021

JMECS

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The Wire Mesh Sensor (WMS) is a tomography-based sensor that generates an image of the free space distribution in multiphase flow. The resulting distribution image can be the capacitance distribution pattern is detected by the electrode, which is dependent on the fluid parameters. Based on the concepts, the system may be an alternative option for the early detection of waterways. The goal of this study is to evaluate the performance of the WMS system in an industrial exhaust pipe. The ability of the system to identify fluids is determined using the capacitance distribution analysis from the WMS measurement. An exhaust pipe is modeled as a cylinder phantom and simulated to visualize the capacitance distribution. The WMS technique is used on a phantom made up of a homogeneous and inhomogeneous medium with changing fluid differences. The capacitance distribution of each fluid in the phantom is different. It is caused by differences in the relative permittivity of each fluid. The performance of the WMS system is evaluated by looking at the capacitance distribution changed as the geometry of the fluid volume varied. Based on the results, the WMS system is shown to be capable of easily distinguishing variations in fluid volume percentage.

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“…In 1998, Prasser et al introduce WMS based on conductivity measurements allowing the investigation of multiphase flows with a high spatial and time resolution [3]. Multiphase in a flow is described as a mixture of two or more physically distinct components, the combination of these mixtures can be a combination of one or more of the gaseous, liquid, or solid components [4]. It is a hybrid solution in between intrusive local flow parameter measurement and tomographic imaging [5].…”

Section: Introductionmentioning

confidence: 99%

Wire-Mesh 16 × 16 Capacitance Sensor for Analysis of Capacitance Distribution on Cylindrical Pipe

Sujiwa

Endarko

2018

IJPS

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The wire-mesh sensor is an intrusive sensor device that uses for generating 2-dimensional (2D) images of fluid flow. Sensors made of 2 layers copper wires, transmitter, and receiver, that perpendicular each other. The wire-mesh sensor will directly to measure the value of inductance or capacitance at the crossing wire. There are 208 data measurements in 16 × 16 cylindrical wire-mesh sensors. All data measurement then processed by Python software to obtain a 2D image of the capacitance distribution. Experiment results show the inhomogeneous distribution of capacitance that occurs in the wire-mesh sensor. Three types of liquids, distilled water, tap water and salt solution, showed circular pattern of capacitance distribution, with the highest capacitance value being in the central area of the image, while at edge area has a lower capacitance value than the central area.

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Initial Study of a Wire Mesh Tomography Sensor for Liquid/Gas Component Investigation

Cited by 4 publications

References 24 publications

Simultaneous Measurement of Two-Phase Flow Parameters for Drift-Flux Model

Simultaneous Measurement of Two-Phase Flow Parameters for Drift-Flux Model

Capacitance Distribution Analysis Using Wire Mesh Sensor 16×16:

Wire-Mesh 16 × 16 Capacitance Sensor for Analysis of Capacitance Distribution on Cylindrical Pipe

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