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Defect detection on the curved surface of a wind turbine blade using piezoelectric flexible line sensors

  • Sang Hyeon Kang
  • , Myeongcheol Kang
  • , Lae Hyong Kang*
  • *Corresponding author for this work
  • Rural Development Administration
  • Jeonbuk National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

Blades play a critical role in the wind turbine system. Therefore, their structural health monitoring is very important. Blades are damaged by sudden changes in wind load, cracks due to collision of foreign objects, and disasters, such as lightning strikes, hail, and typhoons. Moreover, blades are expensive to maintain. Defects or damages to wind turbine blades reduce the life span and power generation efficiency of the wind turbine and increase safety risks and maintenance costs. Therefore, it is very important to detect blade damage to prevent problems in the wind turbine. Ultrasonic inspection is suitable for blades made of composite materials. Piezoelectric ceramic, which is a typical piezoelectric element, has relatively high sensitivity compared to other sensors. However, it suffers from brittle fractures and thus difficult to apply to curved structures. To overcome the limitations of piezoelectric ceramics, a piezoelectric flexible line sensor that can be applied to curved surfaces was manufactured using the dice-and-fill method for a [Pb(Li0.25Nb0.75)]0.06 [Pb(Mg0.33Nb0.67)]0.06 [Pb(Zr0.50Ti0.50)]0.88O3 with 0.7 wt% MnO2 (PZTNMML) ceramic disc. Instead of a typical ultrasonic inspection method with limited surface contact, a laser capable of producing ultrasonic excitation of ultrasonic waves over a large area from a long distance was used. The possibility of detecting a defect on the wind turbine blade using a piezoelectric flexible line sensor and laser ultrasound was confirmed in this study.

Original languageEnglish
Pages (from-to)1207-1217
Number of pages11
JournalStructural Health Monitoring
Volume21
Issue number3
DOIs
StatePublished - 2022.05

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • curved surface
  • Defect detection
  • flexible line sensor
  • laser ultrasonic
  • piezoelectric
  • wind turbine blade

Quacquarelli Symonds(QS) Subject Topics

  • Engineering - Mechanical
  • Biological Sciences

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