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Wire-Mesh Sensor Super-Resolution Based on Statistical Reconstruction

de Assis Dias, F.; Pipa, D. R.; Morales, R. E. M.; Da Silva, M. J.

Wire-mesh sensor (WMS) is an instrument used to visualize and estimate derived parameters of multiphase flows, i.e. gas void fraction and liquid hold-up. Due to its high temporal and spatial resolution, the sensor has been widely applied in the investigation of fluid dynamics. However, the structure of WMS is composed of intrusive electrodes and its image resolution is associated to the number of crossing points formed by the transmitter and receiver wires. In many processes, however, the intrusiveness caused by the electrodes may be a limitation on its use, since they increase the pressure drop and might fragment bubbles depending on the flow condition. Therefore, the reduction of the number of electrodes could probably extend the application field of wire-mesh sensors. Thus, we propose an image reconstruction method to increase resolution of WMS data with fewer wires than most WMS reported in the literature. Hence a reduction of intrusive effects on the process may be achieved. The proposed reconstruction method is based on the Minimum Mean Squared Error (MMSE) estimator. Experimental flow data from a 16x16 WMS are used to produce a Multivariate Gaussian flow model, which in turn is used as regularization in the reconstruction. A sensitive matrix is estimated by finite element method (FEM). Experimental data from two-phase water-gas at slug flow condition are used to validate the proposed method and compared with cubic interpolation. The results show that the MMSE estimator performs better than cubic interpolation and the standard direct problem formulation, reducing the void fraction deviation from 18.20% to 7.92% in the worst case (2x2 WMS).

Keywords: Inverse problem; multiphase flow; statistical image reconstruction; Wire-Mesh sensor

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Permalink: https://www.hzdr.de/publications/Publ-31666
Publ.-Id: 31666