Open Access2D MODELLING OF A SENSOR FOR ELECTRICAL CAPACITANCE TOMOGRAPHY IN ECTSIM TOOLBOX
Author(s) -
Jacek Kryszyn,
Waldemar T. Smolik
Publication year - 2017
Publication title -
informatyka, automatyka, pomiary w gospodarce i ochronie środowiska
Language(s) - English
Resource type - Journals
eISSN - 2391-6761
pISSN - 2083-0157
DOI - 10.5604/01.3001.0010.4604
Subject(s) - electrical capacitance tomography , intersection (aeronautics) , engine coolant temperature sensor , computer science , tomography , capacitance , capacitive sensing , electronics , rectangle , tomographic reconstruction , matlab , field (mathematics) , iterative reconstruction , image sensor , toolbox , image resolution , electronic engineering , computer vision , optics , electrical engineering , engineering , geometry , physics , electrode , mathematics , quantum mechanics , programming language , combustion chamber , aerospace engineering , chemistry , operating system , combustion , organic chemistry , pure mathematics
Electrical capacitance tomography is used to visualize a spatial distribution of dielectrical permittivity of materials placed in a tomographic sensor. An image is reconstructed from measurements of mutual capacitances of electrodes placed around the examined volume. This technique is characterized by very high temporal resolution – it is possible to achieve even few thousands of images per second. One of drawbacks of the method is low spatial resolution. Electrical capacitance tomography is mainly used in industry, e.g. for multiphase flow visualization. One of important elements of a tomographic system is a sensor which parameters influence quality of measurements and therefore affects quality of reconstructed images. In the Division of Nuclear and Medical Electronics a Matlab toolbox called ECTsim was developed. It is used for modelling of sensors, simulations of electrical field and image reconstruction. In this article we present the latest improvement which is modelling of a sensor using algebra of sets. Using primitive elements like rectangle and sector of a ring it is possible to perform operations like union, intersection and difference of two elements with a designed language. With such tools it is easy to prepare complex models of tomographic sensors which have different geometries. In this paper we show two models of sensors with different geometry in order to show how ECTsim solves forward problem.