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A study of the possibility of using 3D modelling and 3D printing for Electrical Capacitance Tomography sensor

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Języki publikacji
EN
Abstrakty
EN
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.
Twórcy
  • Lodz University of Technology, Institute of Applied Computer Science, Stefanowskiego 18/22, 90-924 Lodz, akowalska@iis.p.lodz.pl
  • Lodz University of Technology, Institute of Applied Computer Science, Stefanowskiego 18/22, 90-924 Lodz
  • Lodz University of Technology, Institute of Applied Computer Science, Stefanowskiego 18/22, 90-924 Lodz
  • Lodz University of Technology, Institute of Applied Computer Science, Stefanowskiego 18/22, 90-924 Lodz
Bibliografia
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  • [4] J. Kryszyn, W. T. Smolik, B. Radzik, T. Olszewski, R. Szabatin, Switchless charge-discharge circuit for electrical capacitance tomography, Meas. Sci. Technol., 25 (2014) 115009.
  • [5] W. Q. Yang, L. Peng, Image reconstruction algorithms for electrical capacitance tomography, Meas. Sci. Technol. 14 (2003) R1–R13.
  • [6] Ł. Mazurkiewicz, R. Banasiak, R. Wajman, T. Dyakowski, D. Sankowski, Towards 3D Capacitance Tomography, proc. 4th World Congress Industrial Process Tomography, Aizu, 2005, pp. 546-551.
  • [7] T. Rymarczyk, Using electrical impedance tomography to monitoring flood banks, Int. J. Appl. Electromagn. Mech. 4 (2014) 1–4.
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  • [9] I. Jelliti, A. Romanowski, K. Grudzien, Design of crowdsourcing system for analysis of gravitational flow using x-ray visualization, in proc. FedCSIS’16, ACSIS, vol. 8. IEEE, 2016, pp. 1613–1619.
  • [10] R. Wajman, R. Banasiak, Tunnel-based method of sensitivity matrix calculation for 3D-ECT imaging, Sens. Rev. 34 (2014) 273–283.
  • [11] Q. Marashdeh, F. Wang, L.S. Fan, W. Warsito, Velocity measurement of multi-phase flows based on electrical capacitance volume tomography, in Proceedings of IEEE Sensors, 2007, pp. 1017–1019.
  • [12] R. Banasiak, R. Wajman, M. Soleimani, An efficient nodal Jacobian method for 3D electrical capacitance tomography image reconstruction, Insight Non-Destructive Test. Cond. Monit. 51 (2009).
  • [13] R. Wajman, P. Fiderek, H. Fidos, T. Jaworski, J. Nowakowski, D. Sankowski, R. Banasiak, Metrological evaluation of a 3D electrical capacitance tomography measurement system for two-phase flow fraction determination, Meas. Sci. Technol. 24 (2013) 11, DOI: 10.1088/0957-0233/24/6/065302.
  • [14] R. Banasiak, R. Wajman, D. Sankowski, M. Soleimani, Three-dimensional nonlinear inversion of electrical capacitance tomography data using a complete sensor model, Progress In Electromagnetics Research PIER, 100 (2010) 219-234.
  • [15] K. Grudzień, Visualization System for Large-Scale Silo Flow Monitoring Based on ECT Technique, IEEE Sensors Journal. 24 (2017) 8242-8250.
  • [16] R. Wajman, R. Banasiak, Ł. Mazurkiewicz, T. Dyakowski, D. Sankowski, Spatial imaging with 3D capacitance measurements, Measurement Science and Technology 17 (2006) 2113-2118.
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  • [21] C. Chen, P. Wozniak, A. Romanowski, M. Obaid, T. Jaworski, J. Kucharski, K. Grudzien, S. Zhao, M. Fjeld, Using Crowdsourcing for Scientific Analysis of Industrial Tomographic Images, ACM Trans on Intelligent Systems and Technology 52 (2016) 25.
  • [22] P. Brzeski, J. Mirkowski, T. Olszewski, A. Pląsowski, W. Smolik, R. Szabatin, Multichannel capacitance tomograph for dynamic process imaging, Opto-Electronics Rev. 11 (2003) 175–180.
  • [23] A. Romanowski, K. Grudzień, P. Woźniak, Contextual processing of ECT measurement information towards detection of process emergency states, In proc. Thirteenth International Conference on Hybrid Intelligent Systems (HIS 2013), Tunis, 2013, pp. 292-298.
  • [24] R. Banasiak, M. Soleimani, Shape based reconstruction of experimental data in 3D electrical capacitance tomography, NDT & E International, 43 (2010) 241-249.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-0c2465a0-2b53-47ad-ad15-e2fbb3c944f8
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