Korean Journal of Optics and Photonics (한국광학회지)

Optical Society of Korea (한국광학회)
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Development of Digital-Image-Correlation Technique for Detecting Internal Defects in Simulated Specimens of Wind Turbine Blades

풍력 블레이드 모의 시편의 내부 결함 검출을 위한 이미지 상관법 기술 개발

  • Hong, Kyung Min (Division of Electronics Engineering, Jeonbuk National University) ;
  • Park, Nak Gyu (Division of Mechanical Design Engineering, Jeonbuk National University)
  • Received : 2020.07.03
  • Accepted : 2020.07.23
  • Published : 2020.10.25
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Abstract

In the performance of a wind turbine system, the blades play a vital role. However, they are susceptible to damage arising from complex and irregular loading (which may even cause catastrophic collapse), and they are expensive to maintain. Therefore, it is very important both to find defects after blade manufacturing is completed and to find damage after the blade is used for a certain period of time. This study provides a new perspective for the detection of internal defects in glass-fiber- and carbon-fiber-reinforced panels, which are used as the main materials in wind turbine blades. A gap or fracture between fiber-reinforced materials, which may occur during blade manufacturing or operation, is simulated by drilling a hole 5 mm in diameter in the middle layer of the laminated material. Then, a digital-image-correlation (DIC) method is used to detect internal defects in the blade. Tensile load is applied to the fabricated specimen using a tensile tester, and the generated changes are recorded and analyzed with the DIC system. In the glass-fiber-reinforced laminated specimen, internal defects were detected from a strain value of 5% until the end of the experiment, while in the case of the carbon-fiber-reinforced laminated specimen, internal defects were detected from 1% onward. It was proved using the DIC system that the defect was detected as a certain level of strain difference developed around the internal defects, according to the material properties.

풍력 터빈 시스템의 성능에서 블레이드는 매우 중요한 역할을 하지만 복잡하고 불규칙적인 하중에 의한 손상에 취약하며 유지 보수 비용도 많이 든다. 따라서 블레이드 제조를 완료한 후에 결함을 찾아내고 일정 기간 사용한 후에 블레이드 손상을 찾아내는 것이 매우 중요하다. 본 연구에서는 풍력 터빈 블레이드의 주재료인 유리섬유와 탄소섬유 패널에서 내부 결함을 검출할 수 있는 새로운 방법을 제안하고자 한다. 블레이드 제조 또는 작동 중에 발생할 수 있는 복합재료의 섬유 파단을 모사하기 위해 적층된 재료의 중간층에 직경 5 mm의 홀을 가공한 후에, 비접촉 측정 기술인 이미지 상관법(digital image correlation, DIC)을 사용하여 내부 결함을 검출하였다. 인장시험기를 사용하여 가공된 시편에 인장 하중을 가하면서 이미지 상관법 시스템으로 변화되는 시편의 이미지를 저장하고 분석하였다. 유리섬유 복합재료 시편에서는 인장 하중 방향으로 5%의 변형률부터 내부 결함이 검출되었으며 탄소섬유의 경우에는 1%의 변형률부터 내부 결함이 검출되었다. 재료 특성에 따라 내부 결함 주변에 일정 수준의 변형률 차이가 발생함에 따라 결함이 검출됨을 이미지 상관법 시스템으로 증명하였다.

Keywords

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