Design and Performance Simulation of Magnetic Induction Tomography System for Image Reconstruction of Solid-liquid Two-phase Flow

Document Type : Original Article

Authors

1 Department of Mechanical Engineering of Biosystems, Faculty of Agricultural and Natural Resource, University of Tehran, Tehran, Iran

2 - Department of Mechanical Engineering of Biosystems, Faculty of Agricultural and Natural Resource, University of Tehran, Tehran, Iran

Abstract

Multiphase flow systems are important parts of industrial processes, including the food, pharmaceutical, oil and petrochemical industries and also agriculture. In order to monitor and control these systems, it is necessary to determine its characteristics such as mass flow of materials, mass concentration, volumetric concentration, density, velocity and homogeneity distribution of fluid. Magnetic induction tomography is one of the new methods of monitoring fluid in pipelines. Its main advantage is that MIT sensors have no contact with the fluid flow. In this research, design and performance simulation of applied current magnetic induction tomography (AC-MIT) system was studied. The system included two annular electrodes as a transmitter sensor and 196 coils as a receiver sensor. In order to performance simulation of the system, three positions (R=0, R=0.35, R=0.65) were considered for the target object and the image reconstructed using Landweber iterative algorithm with Tikhonov regularization method. To evaluate the quality of the reconstructed image, size error (SE) and root mean square error (RMSE) were calculated in different regularization coefficients. The results showed that RMSE increases with increasing regularization coefficient and decreases when the target object approaches the cross-sectional wall. SE parameter decreases as the target object approaches the cross-sectional wall. The minimum and maximum values of the calculated SE were related to R=0.65 and middle position, equal to 0.13 % and 5.72%, respectively.
 

Keywords

References

Durlak, W., & Kwinta, P. J. I. S. R. N. (2013). Role of electrical impedance tomography in clinical practice in pediatric respiratory medicine. 2013.
Gnecchi, J. G., Chávez, A. G.-T., Campos, G. C., Peregrino, V. O., & Pineda, E. M. J. C. e. j. (2012). Soil water infiltration measurements using electrical impedance tomography. 191, 13-21.
Grossi, M., Riccò, B. J. J. o. s., & systems, s. (2017). Electrical impedance spectroscopy (EIS) for biological analysis and food characterization: A review. 6(2), 303-325.
Hao, L., Li, G., Xu, L. J. B.-m. m., & engineering. (2014). Magnetic detection electrical impedance tomography with total variation regularization. 24(6), 2857-2864.
Jia, J., Wang, M., Faraj, Y., Wang, Q. J. F. M., & Instrumentation. (2015). Online conductivity calibration methods for EIT gas/oil in water flow measurement. 46, 213-217.
Lay-Ekuakille, A., Vergallo, P., Griffo, G., & Morello, R. J. M. (2014). Pipeline flow measurement using real-time imaging. 47, 1008-1015.
Li, G., Hao, L., Chen, R., & Lin, L. J. I. t. o. m. (2012). A new electrode mode for magnetic detection electrical impedance tomography: Computer simulation study. 48(10), 2543-2550.
Ma, L., Hunt, A., & Soleimani, M. J. I. J. o. M. F. (2015). Experimental evaluation of conductive flow imaging using magnetic induction tomography. 72, 198-209.
Ma, L., McCann, D., & Hunt, A. J. I. S. J. (2017). Combining magnetic induction tomography and electromagnetic velocity tomography for water continuous multiphase flows. 17(24), 8271-8281.
van Treeck, S. C., Kemna, A., Budler, J., Weigand, M., & Huisman, J. A. (2019). Quantification of Root Length Density at the Field Scale with Electrical Impedance Tomography: A Numerical Feasibility Study based on Laboratory and Field Data. Paper presented at the Geophysical Research Abstracts.
Wang, M. J. U. W. P. i. a. i. o. E. (2015). Industrial tomography. 434-438.
Wei, H.-Y., & Soleimani, M. J. P. I. E. R. (2012). Two-phase low conductivity flow imaging using magnetic induction tomography. 131, 99-115.
Wei, H.-Y., Wilkinson, A. J. J. I. t. o. i., & measurement. (2011). Design of a sensor coil and measurement electronics for magnetic induction tomography. 60(12), 3853-3859.
Journal of Agricultural Mechanization
Volume 6, Issue 3
September 2021
Pages 23-31

Files

History

  • Receive Date: 20 October 2021
  • Revise Date: 11 November 2021
  • Accept Date: 21 November 2021

Share

How to cite

Statistics