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Applications of electrical capacitance tomography in two phase flow visualization

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Abstract

The successful application of Electrical Capacitance Tomography (ECT) depends heavily on the image reconstruction speed and quality. The two requirements usually cannot be satisfied simultaneously. Also, for a large number of acquired 2D ECT images, a 3D presentation of them is much desired to track the variations of the material distribution in a third dimension. To facilitate ECT for practical flow analyses in process engineering, the authors have recently developed algorithms for 3D image presentation and for online iterative image reconstruction that only takes the same time as a linear back projection method but yields good image qualities as the Landweber iterative method does. The new methods have been successfully applied to visualize several classes of two phase flows, namely fluidization, cyclone separation, circulating rate determination in circulating fluidized beds, pneumatic conveying, rotating drum mixing. Special characteristics in each case have been discussed and valuable results are obtained, which are reported in this paper.

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References

  1. Xie, C, Huang, S, Hoyle, B S, et al. Electrical Capacitance Tomography for Flow Imaging: System Model for Development of Image Reconstruction Algorithms and Design of Primary Sensors. IEE Proc. -G, 1992, 139: 89–97

    Google Scholar 

  2. Isaksen, Ø, Nordtvedt, J E. A New Reconstruction Algorithm for Process Tomography. Meas. Sci. and Technol., 1993, 4: 1464–1475

    Article  ADS  Google Scholar 

  3. Landweber, L. An Iterative Formula for Fredholm Integral Equations of the First Kind. Amer. J. Math, 1951, 73: 615–624

    Article  MATH  Google Scholar 

  4. Yan, H, Liu, L J, Xu, H, et al. Image Reconstruction in Electrical Capacitance Tomography Using Multiple Linear Regression and Regularization. Meas. Sci. Technol., 2001, 12: 575–581

    Article  ADS  Google Scholar 

  5. Yang, W Q, Peng, L H. Image Reconstruction Algorithms for Electrical Capacitance Tomography. Meas. Sci. Technol., 2003, 14: R1-R13

    Article  ADS  Google Scholar 

  6. Liu, S, Fu, L, Yang, W Q, et al. On-line Iterative Image Reconstruction for ECT. Proceedings of the 3rd World Congress on Industrial Process Tomography, Banff, Canada, 2003. 403–408

  7. Liu, S, Fu, L, Yang, W Q. Optimization of Iterative Image Reconstruction Process for Electrical Capacitance Tomography. Meas. Sci. Technol., 1999, 10: L37-L39

    Article  ADS  Google Scholar 

  8. Wang, H, Liu, S, Jiang, F, et al. 3D Presentation of Images with Capacitance Tomography. Proceedings of the 3rd World Congress on Industrial Process Tomography, Banff, Canada, 2003. 331–336

  9. Liu, Shi, Wang, Haigang, Jiang, Fan. A New Image Reconstruction Method for Tomographic Investigation of Fluidized Beds, AIChE J., 2002, 48(8): 1631–1638

    Article  Google Scholar 

  10. Jaworski, A J, Kyakowski, T. Tomographic Measurements of Solids Mass Flow in Dense Pneumatic Conveying. What Do We Need to Know about the Flow Physics? In Proc. 2nd World Congress on Industrial Process Tomography, Hannover, Germany, 2001

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Liu, S., Yan, R., Wang, H. et al. Applications of electrical capacitance tomography in two phase flow visualization. J. of Therm. Sci. 13, 179–186 (2004). https://doi.org/10.1007/s11630-004-0029-0

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  • DOI: https://doi.org/10.1007/s11630-004-0029-0

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