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Multiphase permittivity imaging using absolute value electrical capacitance tomography data and a level set

E Al Hosani1, M Soleimani2

  • 1Engineering Tomography Laboratory (ETL), Department of Electronic and Electrical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|May 18, 2016
PubMed
Summary
This summary is machine-generated.

A new multiphase level set algorithm reconstructs permittivity profiles for industrial process tomography using electrical capacitance tomography (ECT) data. This advanced method surpasses traditional techniques for imaging complex multiphase materials.

Keywords:
absolute capacitance dataelectrical capacitance tomographymultiphase flow imagingmultiple level set reconstruction

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Area of Science:

  • Process Engineering
  • Tomography
  • Imaging Science

Background:

  • Multiphase flow imaging is crucial for industrial processes.
  • Electrical Capacitance Tomography (ECT) is a key technique for process monitoring.
  • Accurate reconstruction of material permittivity profiles is challenging.

Purpose of the Study:

  • To develop and evaluate a novel algorithm for reconstructing multiphase permittivity profiles.
  • To demonstrate the capability of imaging three- or four-phase materials using ECT data.
  • To compare the new method against existing pixel-based reconstruction techniques.

Main Methods:

  • Development of a multiphase narrowband level set algorithm.
  • Application of the algorithm to reconstruct permittivity profiles from ECT measurements.
  • Testing with both high-contrast and low-contrast multiphase data scenarios.

Main Results:

  • The multiphase level set algorithm successfully reconstructed permittivity profiles.
  • The algorithm demonstrated superiority over classical pixel-based methods in simulations and experiments.
  • Absolute value ECT reconstruction using the novel algorithm was validated.

Conclusions:

  • The developed multiphase level set algorithm offers a significant advancement in multiphase flow imaging.
  • This novel approach provides accurate permittivity profile reconstruction for industrial process tomography.
  • The findings represent a novel contribution to the field of supersensing through industrial process tomography.