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Image Enhancement for Sub-Harmonic Phased Array by Removing Surface Wave Interference with Spatial Frequency Filter

  • Park, Choon-Su (Center for Safety Measurements, Division of Metrology for Quality of Life, Korea Research Institute of Standards and Science) ;
  • Kim, Jun-Woo (Center for Safety Measurements, Division of Metrology for Quality of Life, Korea Research Institute of Standards and Science) ;
  • Cho, Seung Hyun (Center for Safety Measurements, Division of Metrology for Quality of Life, Korea Research Institute of Standards and Science) ;
  • Seo, Dae-Cheol (Center for Safety Measurements, Division of Metrology for Quality of Life, Korea Research Institute of Standards and Science)
  • Received : 2014.02.10
  • Accepted : 2014.05.14
  • Published : 2014.06.30

Abstract

Closed cracks are difficult to detect using conventional ultrasonic testing because most incident ultrasound passes completely through these cracks. Nonlinear ultrasound inspection using sub-harmonic frequencies a promising method for detecting closed cracks. To implement this method, a sub-harmonic phased array (PA) is proposed to visualize the length of closed cracks in solids. A sub-harmonic PA generally consists of a single transmitter and an array receiver, which detects sub-harmonic waves generated from closed cracks. The PA images are obtained using the total focusing method (TFM), which (with a transmitter and receiving array) employs a full matrix in the observation region to achieve fine image resolution. In particular, the receiving signals are measured using a laser Doppler vibrometer (LDV) to collect PA images for both fundamental and sub-harmonic frequencies. Oblique incidence, which is used to boost sub-harmonic generation, inevitably produces various surface waves that contaminate the signals measured in the receiving transducer. Surface wave interference often degrades PA images severely, and it becomes difficult to read the closed crack's position from the images. Various methods to prevent or eliminate this interference are possible. In particular, enhancing images with signal processing could be a highly cost-effective method. Because periodic patterns distributed in a PA image are the most frequent interference induced by surface waves, spatial frequency filtering is applicable for removing these waves. Experiments clearly demonstrate that the spatial frequency filter improves PA images.

Keywords

References

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