대한기계학회논문집A (Transactions of the Korean Society of Mechanical Engineers A)

  • 제41권8호
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  • Pages.729-736
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  • 2017
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  • 1226-4873(pISSN)
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  • 2288-5226(eISSN)
대한기계학회 (The Korean Society of Mechanical Engineers)
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와전류탐상검사를 이용하여 탐지 가능한 볼트홀 내부 균열 길이 연구

Investigation of Detectable Crack Length in a Bolt Hole Using Eddy Current Inspection

  • Lee, Dooyoul (Aero Technology Research Institute, Republic of Korea Air Force) ;
  • Yang, Seongun (Aero Technology Research Institute, Republic of Korea Air Force) ;
  • Park, Jongun (Aero Technology Research Institute, Republic of Korea Air Force) ;
  • Baek, Seil (Aero Technology Research Institute, Republic of Korea Air Force) ;
  • Kim, Soonkil (Aero Technology Research Institute, Republic of Korea Air Force)
  • 투고 : 2016.12.21
  • 심사 : 2017.04.12
  • 발행 : 2017.08.01
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초록

물리모델과 기계학습방법을 이용한 모델지원탐지확률(MAPOD, Model-assisted Probability of Detection) 실험계획법과 운용 중 결함이 발생한 부품을 사용하여 탐지확률을 측정하는 방법을 연구하였다. 검사방법은 와전류탐상검사를 적용하였고 검사대상은 볼트홀 표면에 존재하는 피로균열이다. 모델 지원탐지확률을 이용한 결과 실험요인이 큰 폭으로 감소하였다. 몬테카를로(Monte Carlo) 시뮬레이션을 이용하여 시편 균열길이 측정의 불확실성을 탐지확률에 반영함으로써 사용 중 결함품을 사용하여 비파괴검사정비사의 기량검증을 수행할 수 있었다.

In this study, the physics-based model and machine learning technique were used to conduct model-assisted probability of detection (MAPOD) experiments. The possibility of using in-service cracked parts was also investigated. Bolt hole shaped specimens with fatigue crack on the hole surface were inspected using eddy current inspection. Owing to MAPOD, the number of experimental factors decreased significantly. The uncertainty in the crack length measurement for in-service cracked parts was considered by the application of Monte Carlo simulation.

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참고문헌

  1. Department of Defence Standard Practice, 2005, Aircraft Structural Integrity Program (ASIP), MIL-STD-1530C.
  2. Lee, D. and Achenbach, J. D., 2016, "Analysis of the Reliability of a Jet engine Compressor Rotor Blade Containing a Fatigue Crack," Journal of Applied Mechanics, Vol. 83, No. 4, p. 041004. https://doi.org/10.1115/1.4032376
  3. Gallager, J. P., Babish, C. A. and Malas, J. C., 2005, "Damage Tolerant Risk Analysis Techniques for Evaluating the Structural Integrity of Aircraft Structures," Proceedings of the 11th International Conference on fracture, Turin, Italy.
  4. Department of Defense Handbook, 2004, Nondestructive Evaluation System Reliability Assessment, MIL-HDBK-1823A.
  5. Li, M., Meeker, W. Q. and Hovey, P., 2011, "Joint Estimation of NDE Inspection Capability and Flawsize Distribution for In-service Aircraft Inspections," Statistics Preprints, p. 76.
  6. Singh, R., 2000, Three Decades of NDI Reliability Assessment, Report No. Karta-3510-99-01, Submitted to AF NDI Office.
  7. Thompson, R. B., 2008, "A Unified Approach to the Model-assisted Determination of Probability of Detection," Review of Quantitative Nondestructive Evaluation, Vol. 27, pp. 1685-1692.
  8. Lee, B. W., Suh, J., Lee, H. and Kim T. G., 2011, "Investigations on Fretting Fatigue in Aircraft Engine Compressor Blade," Eng. Failure Anal., Vol. 18, No. 7, pp. 1900-1908. https://doi.org/10.1016/j.engfailanal.2011.07.021
  9. Montgomery, D. C., 2012, Design and Analysis of Experiments, 8th ed., Wiley, Hoboken, NJ, pp. 523-530
  10. Satelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli. D., Saisana, M. and Tarantola, S., 2008, Global Sensitivity Analysis: The Primer, Wiley, Chichester, UK, pp. 155-167.
  11. Pawitan, Y., 2001, In All Likelihood, Oxford University Press, Oxford, UK, pp. 30-35.
  12. Tanner, M. A., 2012, Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions, Springer Science & Business Media, New York, p. 34.