Abstract
Establishing probability of detection (POD) or reliability of various nondestructive testing (NDT) techniques is essential for implementing damage tolerant (DT) methodology for aero-engines. This POD is usually established with the help of a large number of service expired aero-engine components containing several fatigue cracks. In the absence of such components, artificial defects such as electrical discharge machining (EDM) notches or starter cracks were explored. However, such artificial defects would not meet the key features such as tightness of the fatigue cracks and the possible oxidation in the crack opening and thus, limiting their usage. Therefore, in the current study, an innovative approach of generating fatigue cracks at 650 °C (~ typical aero-engine service temperatures) with key high temperature service degradation aspects of oxidation and fatigue cracking is demonstrated for the first time using Gleeble® test system. Further, POD is estimated by inspecting these laboratory generated fatigue cracks using fluorescent liquid penetrant technique (FLPT) and eddy current technique (ECT) under HIT (defect detected) vs. MISS (defect not detected) and â (signal response) vs. a (crack size) methodologies. The current study also discusses a statistical approach of random generation of crack sizes for use in NDT reliability analysis. In addition, an attempt has been made to understand the effect of a90/95 values on remnant life calculations. It is concluded that the eddy current response of oxidized fatigue cracks results in better (high sensitive) a90/95 values compared to the eddy current response obtained from non-oxidized fatigue cracks.
Similar content being viewed by others
References
Koul, A.K., Bellinger, N.C., Fahr, A.: Damage tolerance based life prediction of aeroengine compressor discs: I. A deterministic fracture mechanics approach. Int. J. Fatigue 12, 379–387 (1990). https://doi.org/10.1016/0142-1123(90)90002-V
Rentala, V.K., Mylavarapu, P., Gautam, J.P., Gp Capt, B.V.N., Shiva, K Gopinath, Kumar, Vikas: Physical manifestation of a90/95 in remnant life revision studies of aero-engine components. Struct. Integrity Procedia 14, 597–604 (2019). https://doi.org/10.1016/j.prostr.2019.05.073
Wall, M., Burch, S.F., Lilley, J.: Review of models and simulators for NDT reliability (POD). Insight Non-destructive Test Cond. Monitor. 51, 612–619 (2009). https://doi.org/10.1784/insi.2009.51.11.612
Rentala, V.K., Mylavarapu, P., Gopinath, K., Gautam, J.P., Kumar, V.: model assisted probability of detection for lognormally distributed defects. In: Proceedings of the 8th International Symposium on NDT in Aerospace 2016: e-J of NDT (2016). http://www.ndt.net/?id=20615
Rentala, V.K., Mylavarapu, P., Gautam, J.P.: Issues in estimating probability of detection of NDT techniques—a model assisted approach. Ultras 87, 59–70 (2018). https://doi.org/10.1016/j.ultras.2018.02.012
MIL HDBK 1823A: Non-destructive evaluation system reliability assessment. U.S Department of Defense (2009)
Şimşir, M., Ankara, A.: Comparison of two non-destructive inspection techniques on the basis of sensitivity and reliability. Mater. Des. 28, 1433–1439 (2007). https://doi.org/10.1016/j.matdes.2006.03.019
Kurz, J.H., Jüngert, A., Boller, C.: Reliability considerations of NDT by probability of detection (POD) determination using ultrasound phased array. Eng. Fail. Anal. 35, 609–617 (2013). https://doi.org/10.1016/j.engfailanal.2013.06.008
Rentala, V.K., Mylavarapu, P., Gopinath, K., Gautam, J.P., Kumar, V.: NDE reliability using laboratory induced natural fatigue cracks. In: Proceedings of the 7th European-American Workshop on Reliability of NDE 2017 (2017). http://www.ndt.net/article/reliability2017/papers/29.pdf (accessed in December 2020)
Rentala, V.K., Mylavarapu, P., Gautam, J., Kumar, V.: Generation of POD curves in the absence of service-induced cracked components—an experimental approach. Insight 61, 1 (2019). https://doi.org/10.1784/insi.2019.61.1.28
Kemppainen, M., Virkkunen, I.: Comparison of realistic artificial cracks and in-service cracks. Paper presented at the 8th ECNDT 2002, Barcelona (2002)
Pineau, A., Antolovich, S.D.: High temperature fatigue of nickel-base superalloys—a review with special emphasis on deformation modes and oxidation. Eng. Fail. Anal. 16, 2668–2697 (2009). https://doi.org/10.1016/j.engfailanal.2009.01.010
Jiang, R., Reed, P.A.S.: Critical Assessment 21: oxygen-assisted fatigue crack propagation in turbine disc superalloys. Mater. Sci. Technol. 32, 5 (2016). https://doi.org/10.1080/02670836.2016.1148227
Garimella, L., Liaw, P.K., Klarstrom, D.L.: Fatigue behavior in nickel-based superalloys: a literature review. J. Mater. 49, 67 (1997). https://doi.org/10.1007/BF02914771
Zhao, R.G., Deng, L.Y., Liu, Y.F., Ji, N., Ren, C.L., Li, X.M.: Detection and analysis of high temperature fatigue fracture surface oxygen diffusion of GH4133B superalloy used in turbine disk of aero-engine. IOP Conf. Ser. Mater. Sci. Eng. 531, 012021 (2019)
Olympus Material on Eddy current inspection—eddy current probes and accessories. EC_Probes_EN_200907
Eddy Current Testing at Level 2 (2011) Manual for the Syllabi Contained IAEA-TECDOC-628/Rev 2 ‘Training Guidelines for Non-Destructive Testing Techniques, Training Course Series No. 48, International Atomic Energy Agency. Vienna (2011)
CSNDT: compiled by eddy current technology incorporated. ASM Metals Handbook vol 2 10th edition (2002)
ASM Volume 17: Nondestructive Evaluation and Quality Control. ASM International, Metals Park (1989)
ASTM E2862–18: Standard Practice for Probability of Detection Analysis for Hit/Miss Data. ASTM International, West Conshohocken (2018)
Berens, A.: NDE Reliability Data Analysis. ASM Metals Handbook Volume 17. Non-Destructive Evaluation and Quality Control: ASM International, pp. 1437–1470 (1992)
Meeker, W.Q., Escobar, L.A.: Statistical Methods for Reliability Data. Wiley Series in Probability and Statistics (1998)
George E Dieter (2013) Mechanical Metallurgy. Third edition: McGraw Hill Publishers.
Motarjemi, A., Shirzadi, A. (2006) Structural Integrity Assessment of Engineering Components. University of Cambridge. (https://www.phase-trans.msm.cam.ac.uk/2006/SI/SI.html)
Anderson, T.L.: Fracture Mechanics, Fundamentals and Applications, 2nd edn. CRC Press, Washington DC (1994)
Virkler, D.A., Hillberry, B.M., Goel, P.K.: The statistical nature of fatigue crack propagation. J. Eng. Mater. Technol. 101, 148–153 (1979). https://doi.org/10.1115/1.3443666
Liu, Y., Mahadevan, S.: Probabilistic fatigue life prediction using an equivalent initial flaw size distribution. Int. J. Fatigue 31, 476–487 (2009). https://doi.org/10.1016/j.ijfatigue.2008.06.005
Wåle, E.: Crack characterization for in-service inspection planning. SKI Projekt 14.4-940389, 94164 SAQ/FoU-Rapport 95/70, SAQ Kontroll AB, Sweden (1995)
Shanyavskiy, A.A.: Fatigue crack propagation in turbine discs of EI698 superalloy. Fratturaed Integritá Strutturale 24, 13–25 (2013). https://doi.org/10.3221/IGF-ESIS.24.03
Fahr, A., Forsyth: POD Assessment using real aircraft engine components In: Thompson, D.O., Chimenti, D.E. (eds). Review of Progress in Quantitative Nondestructive Evaluation. Springer, Boston (1998). https://doi.org/10.1007/978-1-4615-5339-7_260
Burke, S.K.: Crack Depth Measurement using Eddy-Current NDE. ndt.net, APCNDT (2001)
Hassan, Ahmed J.: Study of optical and electrical properties of nickel oxide (NiO) thin films deposited by using a spray pyrolysis technique. J. Mod. Phys. 5, 2184–2191 (2014). https://doi.org/10.4236/jmp.2014.518212
Virkkunen, I., Koskinen, T., Jessen Juhler, O., Rinta aho, J.: Augmented Ultrasonic Data for Machine Learning. Preprint submitted to NDT & E Int (2019)
Virkkunen, I., Miettinen, K., Packalen, T.: Virtual flaws for NDE training and qualification. 11th European Conference on Non-Destructive Testing (ECNDT 2014), October 6-10, 2014, Prague, Czech Republic (2014). https://www.ndt.net/events/ECNDT2014/app/content/Paper/550_Virkkunen.pdf (Last accessed on December 2020)
Annis, C., Gandossi, L.: Influence of sample size and other factors on hit/miss probability of detection curves, in: ENIQ Report nr. 47, ENIQ TGR technical document (2012)
Acknowledgements
The authors express their gratitude to Director, DMRL (Defence Metallurgical Research Laboratory) for the encouragement provided to publish this work. The funding provided by Defence Research and Development Organization (DRDO) to carry out the work is acknowledged. Authors would also like to thank DST-FIST and DST-PURSE grant for the FESEM-EDS-EBSD facility and its maintenance at School of Engineering Science and Technology, University of Hyderabad. One of the authors, Dr. T. Jayakumar, DRDO Prof. S. Bhagavantham Chair, would like to express his gratitude to DRDO. The authors would also like to thank Dr. Ashok Kaul, CEO, LPTI Inc., Canada for many useful discussions in identifying the problem. Extensive support of Mr. Lambodar Sahoo, STA ‘B’, DMRL in testing the samples using Gleeble® Test System is appreciated. One of the authors, Mr. Vamsi Krishna Rentala is also thankful to the Council of Scientific and Industrial Research (CSIR) for providing Senior Research Fellowship (ACK. No.: 141308/2k15/1, File No.: 09/414(1124)/2016 EMR-I).
Author information
Authors and Affiliations
Contributions
Planning, execution, analysis and original draft preparation: VKR, conceptualization, formal analysis, writing—review and editing: PM, methodology and resources: AK, supervision: JPG, methodology, resources and writing-review and editing: KG, conceptualization, methodology, writing-review: TJ.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Rentala, V.K., Mylavarapu, P., Kumar, A. et al. POD of NDT Techniques Using High Temperature Oxidized Fatigue Cracks in an Aero Engine Alloy. J Nondestruct Eval 40, 41 (2021). https://doi.org/10.1007/s10921-021-00769-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10921-021-00769-7