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Extended Damage Detection and Identification in Aircraft Structure Based on Multifrequency Eddy Current Method and

Tomasz Chady1, Krzysztof Okarma1, Robert Mikołajczyk1

  • 1Faculty of Electrical Engineering, West Pomeranian University of Technology in Szczecin, 70-313 Szczecin, Poland.

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Summary

This study introduces a new non-destructive testing (NDT) method for aircraft materials. Combining multifrequency eddy currents with image analysis, it accurately detects and sizes material defects like cracks.

Keywords:
aerospace testingimage qualitymachine visionmultifrequency and spectrogram eddy current testingnon-destructive testing

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Area of Science:

  • Materials Science
  • Aerospace Engineering
  • Non-Destructive Testing (NDT)

Background:

  • Aircraft material integrity is critical for safety.
  • Traditional NDT methods may have limitations in defect characterization.
  • Advanced techniques are needed for precise detection and sizing of material flaws.

Purpose of the Study:

  • To develop and validate a novel NDT approach for detecting and characterizing defects in aircraft materials.
  • To integrate multifrequency eddy current testing with advanced image analysis for improved defect identification.
  • To assess the efficacy of a modified Structural Similarity Index (SSIM4) for NDT applications.

Main Methods:

  • Utilized a multifrequency eddy current testing approach.
  • Combined eddy current data with an image analysis technique based on a modified SSIM4 metric.
  • Tested the method on various defect types, sizes, and locations in representative structures.

Main Results:

  • The proposed method successfully identified the presence of cracks in tested materials.
  • The technique allowed for accurate estimation of defect dimensions (size).
  • Demonstrated robustness across different defect configurations and locations.

Conclusions:

  • The integrated multifrequency eddy current and image analysis method offers a promising NDT solution for the aircraft industry.
  • The modified SSIM4 metric is effective for defect characterization in NDT.
  • This approach enhances the capability to detect and quantify material defects, improving structural integrity assessment.