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Electrical Resistance Tomography for Control Applications: Quantitative Study of the Gas-Liquid Distribution inside A

Muhammad Awais Sattar¹, Matheus Martinez Garcia², Robert Banasiak¹

¹Institute of Applied Computer Science, The Lodz University of Technology, Stefanowskiego 18/22, 90-924 Łódź, Poland.

Sensors (Basel, Switzerland)

|October 29, 2020

Summary

Electrical Resistance Tomography (ERT) overestimates gas core diameter in swirl separators. A new correction method using image processing significantly reduces measurement errors, enabling reliable process control.

Keywords:

digital image processing electrical resistance tomography (ERT)high-speed camera swirling two-phase flow

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Area of Science:

Process Engineering
Chemical Engineering
Measurement Science

Background:

Phase separation using centrifugal forces is crucial in the process industry.
Inline swirl separators utilize a light phase core for separation, but its size varies with inlet conditions.
Accurate, non-intrusive measurement of the gas core diameter is needed for process optimization.

Purpose of the Study:

To develop and validate a method for correcting gas core diameter measurements obtained by Electrical Resistance Tomography (ERT).
To improve the reliability of ERT as a sensing technique for dynamic separation processes.
To enable the use of ERT data as input for process controllers.

Main Methods:

Comparison of gas core diameter measurements between an ERT system and high-speed cameras.
Application of image processing and image analysis techniques for data comparison.
Development of a correction method based on static measurements to adjust ERT-derived diameters.

Main Results:

ERT measurements inherently overestimate the gas core diameter due to the ill-posed nature of the inverse problem.
The proposed correction method significantly reduced dynamic measurement errors from over 300% to below 20%.
The corrected ERT measurements provide a reliable basis for process monitoring and control.

Conclusions:

ERT is a fast and non-intrusive technique for measuring gas core diameter in swirl separators.
A novel image-processing-based correction method enhances ERT accuracy for dynamic measurements.
This improved ERT system facilitates reliable sensing and control in industrial separation processes.