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Defect visualization of a steel structure using a piezoelectric line sensor based on laser ultrasonic guided wave

  • Sang Hyeon Kang
  • , Dae Hyun Han
  • , Lae Hyong Kang*
  • *Corresponding author for this work
  • Jeonbuk National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

We studied the detection and visualization of defects in a test object using a laser ultrasonic guided wave. The scan area is irradiated by a laser generated from a Nd:YAG 532 nm Q-switched laser generator through a galvanometer scanner. The laser irradiation causes the surface temperature to suddenly rise and then become temporarily adiabatic. The locally heated region reaches thermal equilibrium with the surroundings. In other words, heat energy propagates inside the object in the form of elastic energy through adiabatic expansion. This thermoelastic wave is typically acquired by a piezoelectric sensor, which is sensitive in the ultrasonic domain. A single piezoelectric sensor has limited coverage in the scan area, while multi-channel piezoelectric sensors require many sensors, large-scale wiring, and many channeling devices for use and installation. In addition, the sensors may not acquire signals due to their installed locations, and the eciency may be reduced because of the overlap between the sensing areas of multiple sensors. For these reasons, the concept of a piezoelectric line sensor is adopted in this study for the first time. To verify the feasibility of the line sensor, I-and L-shaped sensors were attached to a steel structure, and the ultrasound signal from laser excitation was obtained. If the steel structure has defects on the back, the ultrasonic propagation image will be distorted in the defect area. Thus, we can detect the defects easily from the visualization image. Three defects were simulated for the test. The results show that the piezoelectric line sensor can detect defects more precisely and accurately compared to a single piezoelectric sensor.

Original languageEnglish
Article number3992
JournalMaterials
Volume12
Issue number23
DOIs
StatePublished - 2019.12.1

Keywords

  • Defect visualization
  • Guided wave
  • Laser ultrasonics
  • Line sensor
  • Piezoelectric

Quacquarelli Symonds(QS) Subject Topics

  • Materials Science

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