A Process of Technology Appropriation: Electrical Resistance Tomography for Multiphase Pattern Measurements

Name: Bruno Furtado de Moura
Type: PhD thesis
Publication date: 15/04/2020

Namesort descending Role
Marcio Ferreira Martins Advisor *

Examining board:

Namesort descending Role
Francisco Hernan Sepùlveda Palma Co advisor *
Humberto Belich Junior Internal Examiner *
Luiz Affonso Henderson Guedes de Oliveira External Examiner *
Marcio Ferreira Martins Advisor *
Rogério Ramos Internal Examiner *
Wellington Betencurte da Silva Internal Examiner *

Summary: Electrical Impedance Tomography (EIT) is a soft-field tomography technique for imaging in industrial and medical applications. The method consists of injecting a bidirectional known current through electrodes inside a domain and measuring the subsequent voltages at the boundaries formed due to these injections. These measurements are acquired by a data acquisition system and are used to solve an inverse problem. The result is a distribution of the conductivities inside the domain. Thus, the image is formed by differences of conductivity that may be present in this distribution. The present work aims to develop a data acquisition system and reconstruction software focused on multiphase flow measurement. A low-cost EIT system is developed, capable of 30.61 images/s with a signal-to-noise ratio of 57.47dB. Further, the performance of the system is evaluated and it is drawn new guidelines from a validated model to develop the next version of the hardware. The parasitic capacitances are statistically estimated with Maximum a Posterior and Markov Chain Monte Carlo method. Since there is a concern in estimating sharp images by determining the position of the boundary, a new statistical and recursive method based on the particle filter is presented to estimate the conductivities inside the domain. The results demonstrated the capability of reconstructing fast-moving and discontinuities in the movement of inclusions properly.

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