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Detecting cracks in aircraft engine fan blades using vibrothermography nondestructive evaluation

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  • Gao, Chunwang
  • Meeker, William Q.
  • Mayton, Donna

Abstract

Inspection is an important part of many maintenance processes, especially for safety-critical system components. This work was motivated by the need to develop more effective methods to detect cracks in rotating components of aircraft engines. This paper describes the analysis of data from vibrothermography inspections on aircraft engine turbine blades. Separate but similar analysis were done for two different purposes. In both analyses, we fit statistical models with random effects to describe the crack-to-crack variability and the effect that the experimental variables have on the responses. In the first analysis, the purpose of the study was to find vibrothermography equipment settings that will provide good crack detection capability over the population of similar cracks in the particular kind of aircraft engine turbine blades that were inspected. Then, the fitted model was used to determine the test conditions where the probability of detection (POD) is expected to be high and probability of alarm is expected to be low. In our second analysis, crack size information was added and a similar model was fit. This model provides an estimate of POD as a function of crack size for specified test conditions. This function is needed as an input to models for planning in-service inspection intervals.

Suggested Citation

  • Gao, Chunwang & Meeker, William Q. & Mayton, Donna, 2014. "Detecting cracks in aircraft engine fan blades using vibrothermography nondestructive evaluation," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 229-235.
    • Handle: RePEc:eee:reensy:v:131:y:2014:i:c:p:229-235
    DOI: 10.1016/j.ress.2014.05.009
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    References listed on IDEAS

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    1. Cronvall, O. & Simola, K. & Männistö, I. & Gunnars, J. & Alverlind, L. & Dillström, P. & Gandossi, L., 2012. "A study on the effect of flaw detection probability assumptions on risk reduction achieved by non-destructive inspection," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 90-96.
    2. Xiong, J.J. & Shenoi, R.A., 2009. "A durability model incorporating safe life methodology and damage tolerance approach to assess first inspection and maintenance period for structures," Reliability Engineering and System Safety, Elsevier, vol. 94(8), pages 1251-1258.
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    Cited by:

    1. Andrade, Antonio Ramos & Stow, Julian, 2017. "Assessing the potential cost savings of introducing the maintenance option of ‘Economic Tyre Turning’ in Great Britain railway wheelsets," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 317-325.
    2. Jiang, Shan & Li, Yan-Fu, 2021. "Dynamic Reliability Assessment of Multi-cracked Structure under Fatigue Loading via Multi-State Physics Model," Reliability Engineering and System Safety, Elsevier, vol. 213(C).

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