Robust computational framework for wire-mesh sensor potential field calculations

Clifford, Corey E.; MacDonald, Nolan E.; Prasser, Horst-Michael; Kimber, Mark

doi:10.1016/j.flowmeasinst.2019.04.009

Cited by 6 publications

(4 citation statements)

References 4 publications

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“…in the range of 10.5%, as reported in the literature [32]. All previous works [27], [36]- [43] have in common that they model only the electric field distributions (via FEM) but neglecting the correct description of the measuring electronics. For this reason, we present in this paper a new WMS model that can be used to predict deviations similar to those observed experimentally.…”

Section: Introductionmentioning

confidence: 73%

“…The first one is created based on standard FEM models reported in the literature, i.e. [36], [40], [43]. Along this paper we will refer to this approach as (basic/standard FEM model).…”

Section: Wire-mesh Sensor Modeling By Femmentioning

confidence: 99%

“…Since one of the media used in this work is tap water (conductivity ∼420 µS/cm and relative permittivity ∼ 80), the measurement signal is related to both conductivity and relative permittivity of the fluids. Different from other works, where the measurements were based only on the conductivity [27], [38], [41], [43] or permittivity [36], [40], we have considered both electrical properties.…”

Section: ) Boundary Condition and Field Simulationmentioning

confidence: 99%

“…In addition, the wires were designed with square-shaped profile. This approximation also contributes to reduce the complexity of the mesh and provides similar results compared to electrodes with cylinder shape [43]. The mesh setting "maximum element size" (MES) was varied to find a good trade-off between computational effort and the accuracy of the numerical simulation.…”

Section: ) External Circuit Modeling (Macromodel)mentioning

confidence: 99%

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Combined Finite Element and Electronic Circuit Model of a Wire-Mesh Sensor

et al. 2021

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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.

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Section: Introductionmentioning

confidence: 73%

“…The first one is created based on standard FEM models reported in the literature, i.e. [36], [40], [43]. Along this paper we will refer to this approach as (basic/standard FEM model).…”

Section: Wire-mesh Sensor Modeling By Femmentioning

confidence: 99%