Abstract
A new wire-mesh sensor model based on electric field and circuit simulations is presented. In our approach, the excitation and amplification stages of the capacitance WMS are created as macromodels and coupled to the electrodes of a 3D geometry of the sensor. Thus, the effects caused by nonideal characteristics of the amplifiers are considered (e.g. finite open-loop gain and bandwidth). In order to evaluate the performance of the model, a static validation based on phantom measurement was performed. The phantoms were created with paraffin to emulate typical flow regimes, i.e. annular, slug and bubble flow. A mapping containing the position and the electrical properties of the patterns was obtained by image processing and incorporated to the field simulation. Hence the numerical simulations could be directly compared to the experimental data. The results show that coupling the external circuits to the capacitance WMS model is crucial to provide reliable synthetic data.
Highlights
The measurement of multiphase flow parameters is essential in many industrial processes [1], [2]
One of the most commonly derived parameters of multiphase flow is the phase fraction distribution, which can be obtained from a variety of measurement techniques whereby tomography systems [4] are commonly applied for flow imaging: X-ray [5], [6], gamma-ray [7]–[10], impedance [11]–[14], infrared light [15]–[17], ultrasound [18]–[21] are typical physical principles applied for flow imaging
WIRE-MESH SENSOR MODELING BY finite element model (FEM) we present two wire-mesh sensor (WMS) models
Summary
The measurement of multiphase flow parameters is essential in many industrial processes [1], [2]. The sensor can be designed to measure the conductivity [22] or relative permittivity distribution [23] for two-phase flow systems and the complex admittance/impedance [24], [25] for three-phase flow measurement. Such electrical properties can subsequently be converted to phase fractions based on assumptions of the flow structure, i.e. depending on how the mixture is geometrically distributed into the interrogated control volume [25]–[27]. Since the control volume represents only a small fraction of the flow domain, many researchers have used the parallel model (linear relationship) to estimate the phase fraction, which has shown good agreement with other measurement techniques in many flow regimes
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
