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Plug Regime Flow Velocity Measurement Problem Based on Correlability Notion and Twin Plane Electrical Capacitance
Volodymyr Mosorov1, Grzegorz Rybak1, Dominik Sankowski1
1Institute of Applied Computer Science, Lodz University of Technology, 90-537 Łódź, Poland.
Sensors (Basel, Switzerland)
|April 3, 2021
Summary
This study addresses flow velocity measurement limitations using electrical capacitance tomography, especially in irregular flow regimes. An improved algorithm enhances signal pattern extraction for accurate velocity calculations.
Area of Science:
- Process Engineering
- Fluid Dynamics
- Measurement Science
Background:
- Flow velocity measurement is crucial in industrial processes.
- Electrical Capacitance Tomography (ECT) with cross-correlation is a common technique.
- The plug flow regime presents challenges for traditional cross-correlation methods.
Purpose of the Study:
- To evaluate an original algorithm for automatic signal pattern extraction in ECT.
- To improve the accuracy of flow velocity measurements, particularly in irregular flow regimes.
- To provide practical guidance on algorithm parameter selection for reliable measurements.
Main Methods:
- Twin-plane sensor electrical capacitance tomography (ECT).
- Cross-correlation method for velocity estimation.
- Development and application of an automatic signal pattern extraction algorithm.
Main Results:
- The proposed algorithm effectively extracts suitable signal patterns for velocity calculation.
- The technique's efficiency was demonstrated, especially for challenging plug flow regimes.
- Parameter selection significantly influences the accuracy of plug identification and flow velocity determination.
Conclusions:
- The developed algorithm enhances the reliability of ECT-based flow velocity measurements.
- It offers a practical solution for overcoming limitations in irregular flow conditions.
- Optimized parameter selection is key to achieving accurate results in material flow analysis.
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