Currently, many automotive companies struggle with expensive product recalls. To overcome these issues the need for quality management increases. Hence, we propose a monitoring and control framework for Lost Foam Casting (LFC) manufacturing processes using Electrical Capacitance Tomography (ECT) and an evolutionary Genetic Programming (GP) based system. The multi-tier framework simulates the pr...

Abstract – In the past, electrical capacitance tomography (ECT) with circular sensors has been extensively investigated. For some industrial applications such as circulating fluidised beds, square sensors are required. Research into this specific area has been carried out at UMIST for the first time. To generate sensitivity maps, the Laplace equation is solved using a finite difference method (...

Abstract – In this paper, an image reconstruction algorithm for an electrical capacitance tomography (ECT) system is presented. It is based on an artificial neural network (ANN) Four kinds of grid in the same pipe and with different resolutions are discussed. The sensitivity of a pixel in each grid has been calculated and analyzed. The trained neural network has been applied to experimental dat...

In this work the electrostatics of the pneumatic conveying of granular materials in a non-conducting (PVC) vertical pipe is studied using Electrical Capacitance Tomography (ECT) system. The non-conducting wall in general attains static charges arising from particle-wall collisions in the initial periods of conveying process and then reaches equilibrium with the surroundings. The polarity of par...

Electrical capacitance tomography (ECT) attempts to image the permittivity distribution of an object by measuring the electrical capacitance between sets of electrodes placed around its periphery. Image reconstruction in ECT is a nonlinear ill-posed inverse problem, and regularization methods are needed to stabilize this inverse problem. The reconstruction of complex shapes (sharp edges) and ab...

Electrical capacitance tomography (ECT) is a promising imaging technology of permittivity distributions in multiphase flow. To reduce the effect of charging phenomenon on ECT measurement, an improved extreme learning machine method combined with adaptive soft-thresholding (AST-ELM) is presented and studied for image reconstruction. This method can provide a nonlinear mapping model between the c...

This article reports recent advances and progress in the field of electrical capacitance volume tomography (ECVT). ECVT, developed from the two-dimensional electrical capacitance tomography (ECT), is a promising non-intrusive imaging technology that can provide real-time three-dimensional images of the sensing domain. Images are reconstructed from capacitance measurements acquired by electrodes...

Abstract An electric field solver based on a finite volume method using refined structural mesh is proposed to implement quadtree structure and estimate the flux in cell. Numerical experiments were carried out uniform non-uniform meshes assess quality of numerical modeling. The verification calculations circular symmetry electrical capacitance tomography (ECT) probe allows effectiveness refinem...

Measurement of oil-gas two-phase flow parameters such as Gas Void Fraction (GVF) and phase distribution plays a vital role in oil gas industries. To quantitatively evaluate the performance Electrical Capacitance Tomography (ECT) for measuring complex dynamic flows, three-dimensional fluid dynamics-electrostatic field coupling model (3D-FECM) is proposed this paper. Coupling simulation are carri...

The main goal of this paper is to research and analyze the problem image reconstruction performance using machine learning methods in 3D electrical capacitance tomography (ECT) impedance (EIT) by comparing areas inside tank determine finite elements for which one method reconstructions more effective. was conducted on 5000 simulated cases, ranged from five inclusions generated a cylindrical tan...