Improvement of Flow Velocity Measurement Algorithms Based on Correlation Function and Twin Plane Electrical...

Area of Science:

• Fluid dynamics
• Process tomography
• Measurement science

Background:

• The correlation method for time delay estimation in material velocity measurement using twin planes electrical tomography has limitations.
• Non-stationarity of measured data is a key challenge, especially in plug flow regimes.
• Existing methods restrict continuous velocity measurement due to data correlability requirements.

Purpose of the Study:

• To overcome the limitations of the traditional correlation method for material velocity estimation.
• To develop an algorithm for accurate and continuous velocity measurement in gas-solid flows.
• To address the issue of non-stationary data in twin planes electrical tomography.

Main Methods:

• Development of an original algorithm for automatic extraction of suitable time intervals.
• Application of the algorithm to gas-solid flow regimes.
• Utilizing twin planes electrical tomography for concentration change monitoring.

Main Results:

• The proposed algorithm successfully extracts appropriate time intervals for velocity calculation.
• Accurate material velocity measurements were achieved, overcoming previous limitations.
• The method demonstrated effectiveness for gas-solid flow regimes.

Conclusions:

• The novel algorithm enhances the accuracy and continuity of material velocity measurements.
• It effectively handles non-stationary data, a significant drawback of previous methods.
• This approach provides a more reliable tool for process monitoring in relevant industrial applications.