Classification of Sound/Defective Region of Type 3 Composite Pressure Vessels Through Signal Post-processing in Ultrasonic Testing

This study aimed to distinguish between sound and defective areas in Type 3 composite pressure vessels. Ultrasonic testing was employed to detect artificially inserted defects. A 2D matrix array transducer was used for ultrasonic testing, and various parameters were adjusted. However, the signals observed in the A-scan could not clearly distinguish between intact and defective regions. To address this issue, a histogram transformation method was applied to postprocess the A-scan signals. A histogram was generated by selecting a specific area in the C-scan Time-of-Flight (TOF) image. The generated histograms had a U-shape in flawless regions whereas distinct histogram patterns were observed in the defective regions. This indicates that the histograms in the intact and defective regions are distinctly shaped, enabling effective differentiation between the two.

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Publication Details

Journal
Journal of The Korean Society of Manufacturing Technology Engineers
Published
2025-02-15
DOI
https://doi.org/10.7735/ksmte.2025.34.1.48
Primary Topic
Engineering Applied Research
Type
article
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article

Classification of Sound/Defective Region of Type 3 Composite Pressure Vessels Through Signal Post-processing in Ultrasonic Testing

Jooheon Park, Hojin Yoo, G.J. Kim
Journal of The Korean Society of Manufacturing Technology Engineers
Engineering Applied Research
article

Classification of Sound/Defective Region of Type 3 Composite Pressure Vessels Through Signal Post-processing in Ultrasonic Testing

Jooheon Park, Hojin Yoo, G.J. Kim
article en

Abstract

This study aimed to distinguish between sound and defective areas in Type 3 composite pressure vessels. Ultrasonic testing was employed to detect artificially inserted defects. A 2D matrix array transducer was used for ultrasonic testing, and various parameters were adjusted. However, the signals observed in the A-scan could not clearly distinguish between intact and defective regions. To address this issue, a histogram transformation method was applied to postprocess the A-scan signals. A histogram was generated by selecting a specific area in the C-scan Time-of-Flight (TOF) image. The generated histograms had a U-shape in flawless regions whereas distinct histogram patterns were observed in the defective regions. This indicates that the histograms in the intact and defective regions are distinctly shaped, enabling effective differentiation between the two.

Journal of The Korean Society of Manufacturing Technology EngineersVol. 34(1)
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Engineering Applied Research
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