전기전자학회논문지 (Journal of IKEEE)

  • 제20권4호
  • /
  • Pages.424-427
  • /
  • 2016
  • /
  • 1226-7244(pISSN)
  • /
  • 2288-243X(eISSN)
한국전기전자학회 (Institute of Korean Electrical and Electronics Engineers)
권호 표지
DOI QR코드

DOI QR Code

SAR를 이용한 다층 유전체의 비파괴 검사

Nondestructive Inspecting for Multilayer Dielectric Material using Synthetic Aperture Radar

  • Kim, Sung-Duck (Dept. of Electronic and Control Engineering, Hanbat National University)
  • 투고 : 2016.09.02
  • 심사 : 2016.12.07
  • 발행 : 2016.12.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

이 논문에서는 FRP(Fiber Reinforced Polymer)의 내부 결함이나 물리적 손상을 검출하기 위하여 SAR(Synthetic Aperture Radar)를 이용한 마이크로파 비파괴 검사법(Microwave Nondestructive Inspecting)을 제안한다. 전파가 다층 유전체인 FRP에 수직으로 입사되면 계면이나 횡축 균열과 같은 결함에 좋은 반응을 나타낸다. 이때 반사파로부터 계면 깊이나 결함 위치를 SAR 이미지 기법으로 결함을 형상화할 수 있다. 그 결과, SAR 시스템으로 FRP 복합 소재 내부 결함들의 종류, 크기나 위치를 효율적으로 진단할 수 있음을 확인하였다.

A microwave NDI(Nondestructive Inspecting) method, based on SAR(Synthetic Aperture Radar) for inspecting such internal flaws or physical demage of FRP(Fiber Reinforced Polymer), is proposed in this paper. When a microwave is incident perpendicularly toward a multilayer dielectric FRP material, it gives a good response for the interfaces or transverse cracks. Interface depths or defect positions can be presented from the reflection waves, as using SAR imagery technique. As a result, it can be shown that such a SAR system can effectively inspect the type, size, or location of flaws within FRP composite material.

키워드

참고문헌

  1. L .M. Gao, etc., "Sensing of damage mechanisms in fiber-reinforced composites under cyclic loading using carbon nanotubes," Advanced Functional Materials, vol. 19, no. 1, pp. 123-130, 2009. https://doi.org/10.1002/adfm.200800865
  2. F. Ospald, etc., "Aeronautics composite material inspection with a terahertz time-domain spectroscopy system," Optical Engineering, vol. 53, no. 3, pp. 1-14, 2014. https://doi.org/10.1016/j.optlaseng.2013.07.020
  3. K. Dragan and W. Swiderski, "Studying efficiency of NDE techniques applied to composite materials in aerospace applications," Acta Physica Polonica A, vol. 117, no. 5, pp. 878-883, 2010. https://doi.org/10.12693/APhysPolA.117.878
  4. E. Cristofani, etc., "In-depth high-resolution SAR imaging using omega-k applied to FMCW systems," Proc. of the IEEE Radar Conference, Atlanta, USA, pp. 725-730, 2012.
  5. C. Ozdemir, Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms. John Wiley & Sons, Inc., 2012.
  6. G. L. Charvat, etc., "A through-dielectric radar imaging system," IEEE Transactions on Antennas and Propagation. vol. 58, issue 8, pp. 2594-2603, 2010. https://doi.org/10.1109/TAP.2010.2050424
  7. S. J. Orfanidis, Electromagnetic Waves and Antennas, Chapter 5-6, ECE Department Rutgers University, 2008.
  8. T. Y. Lee, V. Skvortsov, and M. H. Ka, "Radar-based security system: Implementation for cluttered environment," Journal of IKEEE, vol.19, no.2, pp. 160-167, 2015. https://doi.org/10.7471/ikeee.2015.19.2.160