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Two-Phase Low Conductivity Flow Imaging Using Magnetic Induction Tomography
Progress In Electromagnetics Research, Vol. 131, 99-115, 2012
Magnetic Induction Tomography (MIT) is a new and emerging type of tomography technique that is able to map the distribution of all three passive electromagnetic properties, however most of the current interests are focusing on the conductivity and permeability imaging. In an MIT system, coils are used as separate transmitters or sensors, which can generate the background magnetic field and detect the perturbed magnetic field respectively. Through switching technique the same coil can work as transceiver which can generate field at a time and detect the field at another time. Because magnetic field can easily penetrate through the non-conductive barrier, the sensors do not need direct contact with the imaging object. These non-invasive and contactless features make it an attractive technique for many applications compared to the traditional contact electrode based electrical impedance tomography. Recently, MIT has become a promising monitoring technique in industrial process tomography, for example MIT has been used to determine the distribution of liquidised metal and gas (high conductivity two phase flow monitoring) for metal casting applications. In this paper, a low conductivity two phase flow MIT imaging is proposed so the reconstruction of the low contrast samples (< 6 S/m) can be realised, e.g. gas/ionised liquid. An MIT system is developed to test the feasibility. The system utilises 16 coils (8 transmitters and 8 receivers) and an operating frequency of 13 MHz. Three dierent experiments were conducted to evaluate all possible situations of two phase flow imaging: 1) conducting objects inside a non-conducting background, 2) conducting objects inside a conducting ackground (low contrast) and 3) non-conducting objects inside a conducting background. Images are reconstructed using the linearised inverse method with regularisation. An experiment was designed to image the non-conductive samples inside a conducting background, which is used to represent the size varying bubbles in ionised solution. The temporal reconstruction algorithm is used in this dynamic experiment to improve the image accuracy and noise performance.
Hsin-Yu Wei, and Manuchehr Soleimani, "Two-Phase Low Conductivity Flow Imaging Using Magnetic Induction Tomography," Progress In Electromagnetics Research, Vol. 131, 99-115, 2012.

1. Griffths, , H., "Magnetic induction tomography," Institute of Physics Publishing Meas. Sci. Technol.,, Vol. 12, 1126-1131, Dec. 2001.

2. Ortiz-Aleman, , C., R. Martin, and , "Electrical capacitance tomography two-phase oil-gas pipe flow imaging by the linear back-projection algorithm," Journal of Geophysics and Engineering, Vol. 2, 32-37, , 2005.

3. Kim, , M. C., H. J. Lee, Y. J. Lee, and K. Y. Kim, , "An experimental study of electrical impedance tomography for the two-phase flow visualization," International Communications in Heat and Mass Transfer, Vol. 29, No. 2, 193-202, , 2002..

4. Terzija, , N., W. Yin, G. Gerbeth, F. Stefani, K. Timmel, T. Wondrak, and A. J. Peyton, "Electromagnetic inspection of a two-phase flow of GaInSn and Argon," Flow Measurement and Instrumentation, Vol. 22, No. 3, 10-16, , 2011.

5. Wondrak, , T., S. Eckert, G. Gerbeth, K. Klotsche, F. Stefani, K. Timmel, A. J. Peyton, N. Terzija, and W. Yin, "Combined electromagnetic tomography for determining two-phase flow characteristics in the submerged entry nozzle and in the mold of a continuous casting model," Metallurgical and Materials Transactions B, Vol. 44, No. 6, 1201-1210, 2011.

6. Watson, , S., R. J. Williams, W. A. Gough, and H. Griffths, "A magnetic induction tomography system for samples with conductivities less than 10 S/m-1," Measurement Science and Technology,, Vol. 19, 045501-1, 2008.

7. Liu, , Z., M. He, and H. Xiong, "Simulation study of the sensing fileld in electromagnetic tomography for two-phase flow measurement," Flow Measurement and Instrumentation,, Vol. 16, 199-204, , 2005.

8. Wei, , H. Y., M. Soleimani, and , "Hardware and software design for a national instruments based magnetic induction tomography system for prospective biomedical applications," Physiological Measurement,, Vol. 33, No. 5, 863-879, 2012.

9. Gursoy, , D., H. Scharfetter, and , "Imaging artifacts in magnetic induction tomography caused by the structural incorrectness of the sensor model," Measurement Science and Technology, Vol. 22, No. 1, 2011..

10. Soleimani, , M., W. R. B. Lionheart, A. J. Peyton, and X. Ma, "A 3D inverse finite element technique applied to experimental magnetic induction tomography data," 4th World Congress on Industrial Process Tomography, , 1054-1059, 2005.

11. Soleimani, , M., "Sensitivity maps in three-dimensional magnetic induction tomography," Insight, Vol. 48, , No. 1, 39-44, Jan. 2006..

12. Kameari, , A., , "Regularization on ill-posed source terns in FEM computation using two magnetic vector potentials," IEEE Transaction on Magnetics, Vol. 40, No. 2, 1310-1313, 2004.

13. Biro, O., J. Preis, and , "On the use of the magnetic vector potential in the ¯nite element analysis of three-dimensional eddy currents," IEEE Transaction on Magnetics, Vol. 25, No. 4, 3145-1359, 1989.

14. Biro, , O., , "Edge element formulations of eddy current problems," Comput. Methods Appl. Mech. Engrg. , Vol. 169, 391-405, 1999.

15. Biro, , O., K. Preis, and , "An edge finite element eddy current formulation using a reduced magnetic and a current vector potential," IEEE Transaction on Magnetics, , Vol. 36, No. 5, 3128-3130, 2000.

16. Wei, H. Y., M. Soleimani, and , "Three dimensional magnetic induction tomography imaging using a matrix free Krylov subspace inversion algorithm," Progress In Electromagnetics Research, Vol. 122, 29-45, 2012..

17. Goharian, , M., M. Soleimani, and G. R. Moran, "A trust region subproblem for 3d electrical impedance tomography inverse problem using experimental data," Progress In Electromagnetics Research, Vol. 94, 19-32, 2009.

18. Flores-Tapia, , D., M. O'Halloran, and S. Pistorius, "A bimodal reconstruction method for breast cancer imaging," Progress In Electromagnetics Research, Vol. 118, 461-486, 2011.

19. Ping, , X. W., T. J. Cui, and , "The factorized sparse approximate inverse preconditioned conjugate gradient algorithm for inite element analysis of scattering problems," Progress In Electromagnetics Research, Vol. 98, 15-31, 2009.

20. Liu, , Z., Q. H. Liu, C. H. Zhu, and J. Yang, "A fast inverse polynomial reconstruction method based on conformal fourier transformation," Progress In Electromagnetics Research,, Vol. 122, 119-136, , 2012..

21. Tatarskii, V. I., "Use of semi-inversion method for the dirichlet problem in rough surface scattering," Progress In Electromagnetics Research, Vol. 54, 109 -135, 2005.

22. Banasiak, , R., R. Wajman, D. Sankowski, and M. Soleimani, "Three-dimensional nonlinear inversion of electrical capacitance tomography data using a complete sensor model," Progress In Electromagnetics Research, Vol. 100, 219-234, 2010.

23. Landesa, L., F. Obelleiro, J. L. Rodrguez, and M. R. Pino, "Stable solution of the GMT-MoM method by Tikhonov regularization," Progress In Electromagnetics Research, Vol. 20, 45-61, 1998.

24. Ma, , L., H. Y. Wei, and M. Soleimani, , "Pipeline inspection using magnetic induction tomography based on a narrowband pass filtering method," Progress In Electromagnetics Research M, Vol. 23, 65-78, 2012.

25. Cheney, , M., D. Isaacson, J. C. Newell, S. Simske, and J. Goble, "NOSER: An algorithm for solving the inverse conductivity problem," International Journal of Imaging Systems & Technology, Vol. 2, 66-75, 1990.

26. Soleimani, , M., C. N. Mitchell, and R. Banasiak, , "Four-dimensional electrical capacitance tomography imaging using experimental data," Progress In Electromagnetics Research , Vol. 90, 171-186, 2009.

27. Wei, , H. Y., M. Soleimani, and , "Four dimensional reconstruction using magnetic induction tomography: Experimental study," Progress In Electromagnetics Research, Vol. 129, 17-32, 2012..

28. Adler, , A., J. H. Arnold1, R. Bayford, A. Borsic, B. Brown, P. Dixon, T. J. C. Faes, I. Frerichs, H. Gagnon, Y. Garber, B. Grychtol, and G. Hahn, "Greit: A uni¯ed approach to 2D linear EIT reconstruction of lung images ," Physiological Measurement, , Vol. 30, No. 6, 35-55, 2009.

29. Banasiak, R., Z. Ye, and M. Soleimani, "Improving three-dimensional electrical capacitance tomography imaging usingapproximation error model theory," Journal of Electromagnetic Waves and Applications, Vol. 26, No. 2--3, 411-421, 2012.

30. Lai, J. C. Y., C. B. Soh, E. Gunawan, and K. S. Low, "Homo-geneous and heterogeneous breast phantoms for ultra-wideband microwave imaging applications, ," Progress In Electromagnetics Research, Vol. 100, 397-415, 2010.

31. Bonafoni, , S., F. Alimenti, G. Angelucci, and G. Tasselli, "Mi-crowave radiometry imaging for forest fire detection: A simulation study," Progress In Electromagnetics Research,, Vol. 112, 77-92, 2011.

32. Zhang, , M., Y. W. Zhao, H. Chen, and W.-Q. Jiang, "SAR imaging simulation for composite model of ship on dynamic ocean scene," Progress In Electromagnetics Research,, Vol. 113, 395-412, 2011.

33. Hajihashemi, M. R. , M. R., M. El-Shenawee, and , "Inverse scattering of three-dimensional PEC objects using the level-set method," Progress In Electromagnetics Research,, Vol. 116, 23-47, 2011.

34. Catapano, , I., F. Soldovieri, and L. Crocco, "On the feasibility of the linear sampling method for 3D GPR surveys," Progress In Electromagnetics Research, Vol. 118, 185-203, 2011.