Towards high precision electrical capacitance tomography multilayer sensor structure using 3D modelling and 3D printing method

2018 ◽  
Author(s):  
Aleksandra Kowalska ◽  
Robert Banasiak ◽  
Radoslaw Wajman ◽  
Andrzej Romanowski ◽  
Dominik Sankowski
Keyword(s):  
3D Printing ◽  
High Precision ◽  
3D Modelling ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Sensor Structure ◽  
Capacitance Tomography ◽  
Printing Method

Multilayer Electrical Capacitance Tomography Sensor Structure 3D-Printing

2018 ◽  
Author(s):  
Aleksandra Kowalska ◽  
Robert Banasiak ◽  
Radoslaw Wajman ◽  
Andrzej Romanowski ◽  
Dominik Sankowski
Keyword(s):  
3D Printing ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Sensor Structure ◽  
Capacitance Tomography

scholarly journals 3D-Printed Multilayer Sensor Structure for Electrical Capacitance Tomography

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3416 ◽  
Author(s):  
Aleksandra Kowalska ◽  
Robert Banasiak ◽  
Andrzej Romanowski ◽  
Dominik Sankowski
Keyword(s):  
Industrial Applications ◽  
Industrial Test ◽  
Electrical Capacitance Tomography ◽  
Geometrical Parameters ◽  
Electrical Capacitance ◽  
Low Contrast ◽  
Sensor Structure ◽  
Internal Measurement ◽  
3D Printed ◽  
Capacitance Tomography

Presently, Electrical Capacitance Tomography (ECT) is positioned as a relatively mature and inexpensive tool for the diagnosis of non-conductive industrial processes. For most industrial applications, a hand-made approach for an ECT sensor and its 3D extended structure fabrication is used. Moreover, a hand-made procedure is often inaccurate, complicated, and time-consuming. Another drawback is that a hand-made ECT sensor’s geometrical parameters, mounting base profile thickness, and electrode array shape usually depends on the structure of industrial test objects, tanks, and containers available on the market. Most of the traditionally fabricated capacitance tomography sensors offer external measurements only with electrodes localized outside of the test object. Although internal measurement is possible, it is often difficult to implement. This leads to limited in-depth scanning abilities and poor sensitivity distribution of traditionally fabricated ECT sensors. In this work we propose, demonstrate, and validate experimentally a new 3D ECT sensor fabrication process. The proposed solution uses a computational workflow that incorporates both 3D computer modeling and 3D-printing techniques. Such a 3D-printed structure can be of any shape, and the electrode layout can be easily fitted to a broad range of industrial applications. A developed solution offers an internal measurement due to negligible thickness of sensor mount base profile. This paper analyses and compares measurement capabilities of a traditionally fabricated 3D ECT sensor with novel 3D-printed design. The authors compared two types of the 3D ECT sensors using experimental capacitance measurements for a set of low-contrast and high-contrast permittivity distribution phantoms. The comparison demonstrates advantages and benefits of using the new 3D-printed spatial capacitance sensor regarding the significant fabrication time reduction as well as the improvement of overall measurement accuracy and stability.

Analysis and Simulation of Sensor Structure Parameters and Filling Materials Characteristics for Electrical Capacitance Tomography System

2008 ◽  
Vol 575-578 ◽  
pp. 1217-1221 ◽  
Author(s):  
De Yun Chen ◽  
Li Li Wang ◽  
Yu Chen
Keyword(s):  
Optimization Design ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Distribution Models ◽  
Two Phase ◽  
Tomography System ◽  
Filling Materials ◽  
Sensor Structure ◽  
Simulation And Experiment ◽  
Capacitance Tomography

The object of this paper concerns with the research of 8-electrode oil-water two-phase flow electrical capacitance tomography system. The distribution models of sensor’s field are established by the finite element method for the influence of the parameters of sensor’s structure on the performance of sensor. The analyses of simulation and experiment and the sensor’s optimization design are done, and the measure function of sensor’s optimization design is proposed based on sensor parameters that are listed as follows: length of electrodes, stretch angle of electrodes, thickness of pipeline, permittivity, thickness of stuff filled between screen and electrodes, radial electrodes and so on. In conclusion, the final parameters and materials adopted are proved better than those adopted before. Consequently the sensitivity and uniformity of the sensitive field is improved and the design of the measurement circuit is easier, and the data precision of sensitive field is enough for image reconstruction.

scholarly journals TOOLBOX FOR 3D MODELLING AND IMAGE RECONSTRUCTION IN ELECTRICAL CAPACITANCE TOMOGRAPHY

2017 ◽  
Vol 7 (1) ◽  
pp. 0-0 ◽  
Author(s):  
Jacek Kryszyn ◽  
Waldemar Smolik
Keyword(s):  
Image Reconstruction ◽  
3D Modelling ◽  
Electrical Capacitance Tomography ◽  
Medical Electronics ◽  
Electrical Capacitance ◽  
Electric Permittivity ◽  
Matlab Toolbox ◽  
Sensor Modelling ◽  
Capacitance Tomography ◽  
Material Mixing

Electrical Capacitance Tomography is used to visualize a spatial distribution of electric permittivity in a tomographic sensor. ECT is able to create even thousands of frames per second which is suitable for application in the industry, e.g. monitoring of multiphase flows or material mixing. A tool for sensor modelling and image reconstruction is needed in order to develop improved solutions and to better understand phenomena in ECT. A software for 2D and 2D modelling is developed in the Division of Nuclear and Medical Electronics. In this paper a Matlab toolbox called ECTsim for 3D modelling is presented.

scholarly journals A study of the possibility of using 3D modelling and 3D printing for electrical capacitance tomography sensor

2019 ◽  
pp. 23-32
Author(s):  
Aleksandra Kowalska ◽  
Robert Banasiak ◽  
Andrzej Romanowski ◽  
Dominik Sankowski
Keyword(s):  
Energy Consumption ◽  
3D Printing ◽  
Computer Modelling ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Monitoring And Control ◽  
3D Print ◽  
Chemical Complexity ◽  
Capacitance Tomography ◽  
And Control

Nowadays, the optimization of energy consumption and resources is one of the most urgent topics in worldwide industry. The energy consumption monitoring and control in various multiphase flow industrial applications, where a proper flow characteristic and an optimal phase mixture control is crucial, is hard to perform due to the physical and chemical complexity of the processes. The Electrical Capacitance Tomography (ECT) is one of the relatively cheap non-invasive measurement methods that can help in the monitoring and control of optimal energy and resources dozing in industrial processes. ECT diagnostics systems use unique sensors that can non-intrusively detect spatial capacitance changes caused by spatial changes in the electrical permittivity of industrial process components. One of the latest ECT extensions is a three-dimensional measurement strategy that uses a multilayer structure of the capacitance sensor. In this paper, the authors propose a novel approach to the 3D ECT sensors fabrication process that uses 3D computer modelling and 3D printing to easily get any sensor shape, electrode layout, scale and shielding strategy. This study compares the measurement abilities of a 3D ECT sensor fabricated using a traditional hand-made technique with the 3D printed device. The results have proven the potential of the new 3D print-based sensor regarding its significant fabrication time reduction as well as the improvement of the overall 3D ECT sensor measurement accuracy and stability.

DESIGN OF FLEXIBLE ELECTRICAL CAPACITANCE TOMOGRAPHY SENSOR

2015 ◽  
Vol 77 (28) ◽  
Author(s):  
MT Masturah ◽  
MHF Rahiman ◽  
Zulkarnay Zakaria ◽  
AR Rahim ◽  
NM Ayob
Keyword(s):  
Outer Layer ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Capacitance Tomography ◽  
Fluid Imaging

This paper discussed the design–functionality and application of Flexible Electrical Capacitance Tomography sensor (FlexiECT). The sensors consist of 12 electrodes allocated surrounding the outer layer of the pipeline. The sensor is designed in such that the flexibility features suit the applications in the pipeline of multiple size. This paper also discussed the preliminary result of FlexiECT applications in fluid imaging by identifying the percentage of two mixing fluids.

Dynamic water fill level measurement using a phantom-dependent adaptive electrical capacitance tomography (ECT) method

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Christoph Kandlbinder-Paret ◽  
Alice Fischerauer ◽  
Gerhard Fischerauer
Keyword(s):  
Pipe Wall ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Capacitance Measurements ◽  
Level Measurement ◽  
Element Simulation ◽  
Fill Level ◽  
Capacitance Tomography ◽  
Low Permittivity ◽  
Adaptation Scheme

Abstract In electrical capacitance tomography (ECT), the resolution of the reconstructed permittivity distribution improves with the number of electrodes used whereas the number of capacitance measurements and the measurement time increases with the number of electrodes. To cope with this tradeoff, we present a phantom-dependent adaptation scheme in which coarse measurements are performed with terminal electrodes interconnected to form a synthetic electrode ring with fewer but larger electrodes. The concept was tested by observing the sloshing of water inside a pipe. We compare the reconstructed results based on eight synthetic electrodes, on 16 elementary electrodes, and on the adaptation scheme involving both the eight synthetic electrodes and some of the elementary capacitances. The reconstruction used the projected Landweber algorithm for capacitances determined by a finite-element simulation and for measured capacitances. The results contain artefacts attributed to the influence of the high permittivity of water compared to the low permittivity of the pipe wall. The adaptation scheme leads to nearly the same information as a full measurement of all 120 elementary capacitances but only requires the measurement of 30 % fewer capacitances. By detecting the fill level using a tomometric method, it can be determined within an uncertainty of 5 % FS.

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