Refined cartesian mesh for modeling in electrical capacitance tomography

W. Smolik, J. Kryszyn
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引用次数: 2

Abstract

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 measurement simulations. A tree structure was used for description of refined mesh nodes to obtain fast computations. The .NET based software library was created. A set of MATLAB functions was created to provide an interface between the library and the MATLAB environment. The results of electrical field computation were presented.
电容层析成像中的精细笛卡尔网格建模
本文提出了在电容量层析成像中,利用精细笛卡尔网格对电势分布进行建模。在正演问题求解中应用加厚笛卡尔离散网格,可以更精确地描述层析传感器的圆柱单元。不规则网格结构使电容测量模拟精度的提高成为可能。为了提高计算速度,采用树形结构对精细化网格节点进行描述。创建了基于。net的软件库。创建了一组MATLAB函数,以提供库与MATLAB环境之间的接口。给出了电场计算结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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