A Process of Technology Appropriation: Electrical Resistance Tomography for Multiphase Pattern Measurements
Name: BRUNO FURTADO DE MOURA
Publication date: 15/04/2020
Advisor:
Name |
Role |
|---|---|
| MARCIO FERREIRA MARTINS | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| HUMBERTO BELICH JUNIOR | Internal Examiner * |
| JULIO CESAR SAMPAIO DUTRA | 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.
