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Related Experiment Video

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Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic Imaging.

Chuangui Wu1,2,3, GuiLi Xu2, Yimeng Shan1,3

  • 1State-Owned Machinery Factory in Wuhu, Wuhu 241007, China.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
Summary
This summary is machine-generated.

A new phased-array ultrasonic imaging algorithm enhances real-time defect detection in rib-stiffened wing skins. This advanced method improves imaging quality and noise suppression for critical aerospace structural inspections.

Keywords:
data post-processingdefect defectionphased-array ultrasonic imagingreal-time imagingwing skin with stiffener

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Area of Science:

  • Aerospace Engineering
  • Non-Destructive Testing
  • Ultrasonic Imaging

Background:

  • Real-time imaging is crucial for detecting structural defects in rib-stiffened wing skins.
  • Existing ultrasonic imaging algorithms face challenges with real-time performance and noise artifacts.

Purpose of the Study:

  • To develop a defect detection algorithm for wing skin with stiffeners using phased-array ultrasonic imaging.
  • To enhance the real-time capability and noise artifact suppression of ultrasonic imaging for structural health monitoring.

Main Methods:

  • Utilized a full-matrix-full-focusing algorithm as the imaging quality prototype.
  • Developed a sparsity-based full-focusing algorithm incorporating a symmetry redundancy imaging mode for improved real-time performance.
  • Implemented an adaptive beamforming method and an equal-acoustic-path echo dynamic removal scheme for noise artifact suppression.

Main Results:

  • Achieved a detection sensitivity of 1 mm and a resolution of 0.5 mm within a 30 mm × 30 mm imaging range.
  • Completed imaging within 0.5 seconds, demonstrating significant real-time performance improvement.
  • Successfully suppressed noise artifacts through adaptive processing techniques.

Conclusions:

  • The proposed phased-array ultrasonic defect detection algorithm effectively combines advanced imaging and post-processing techniques.
  • This approach offers superior real-time performance and noise reduction compared to traditional single-element ultrasonic methods.
  • The algorithm is well-suited for structural defect detection in R-region wing skin applications.