Industrial Process Tomography - Platform II grant funded by EPSRC


Colloid Vibration Potential Imaging(back)

Advanced Imaging & Measurement for Multiphase Flows

Case 3. Boolean logic method for flow regime recognition

The flow regime not only characterises the flow conditions, it also determines the type of flow meter and measurement model that is used. In order to develop a flow meter for the accurate measurement of multiphase flows it is of the utmost importance to correctly identify the flow pattern present to enable the selection of the optimal method for metering. This present study proposes a Boolean logic method for recognition of the prevalent flow regime using only a fraction of image data (Figure 7) thus rendering the analysis more efficient. Application of the Boolean logic scheme enables a quantitative comparison of the flow patterns thus reducing the subjectivity in the identification of the prevalent flow regime (Figure 8, 9).

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Figure 7: 21 Cell Zone Scheme with 5 key cells [3].


CVP imaging  

Figure 8: Output of the Inverse Exclusive OR Operator for bubble flow [3].


CVP imaging

Figure 9: Output of the Inverse Exclusive OR Operator for plug flow [3].

Author Information:Mi Wang, Institute of Particle Science and Engineering, School of Process, Environmental and Materials Engineering, Email:

1. Li, H., Wang, M., Wu, Y. and Lucas, G. (2009) “Volume flow rate measurement in vertical oil-in-water pipe flow using electrical impedance tomography and a local probe”, MultScienTechn, 21(i1-2.70), 81-93.
2. Issa, M., Li, H., Schlaberg, H.I., Wang, M. and Williams, R.A. (2009) “Velocity measurements of multi-phase unsteady flow in oscillatory baffled reactor using electrical resistance tomography”, in Proceedings of 3rd International Workshop on Process Tomography (IWPT-3), Tokyo, Japan.
3. Ramskill, N.P. and Wang, M. (2010) “Measurement and Recognition of Gas-Liquid Multiphase Horizontal Flow Regimes using Electrical Resistance Tomography”, in Proceedings of 6th World Congress on Industrial Process Tomography, Beijing.