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This paper presents modeling of electric potential distribution using a refined Cartesian mesh in electrical capacitance tomography. The application of the thickened Cartesian discretization mesh in a forward problem solver allows more accurate discrete description of cylindrical elements of tomographic sensor. The irregular structured grid enables possibility to increase precision of capacitance...
The applications of electric capacitance tomography require a custom-designed sensor with individually calculated sensitivity matrix. The sensor can be modeled using an electric field simulator. A highly advanced simulator QuickWave-3D was applied to generate a sensitivity matrix for a designed sensor. The calculation results are presented and compared with the results obtained using custom FEM software...
Electrical capacitance tomography (ETC) is a technique dedicated for object imaging basing on visualization of spatial permittivity distribution of materials which they are made of. An image reconstruction procedure requires a numerical solution of a general Laplace equation using finite element methods basing on a discrete mesh spanned on the space inclusive inside of a tomographic sensor and solution...
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