Skip to main content
Log in

Reliability Study and Life Estimation of a Centrifugal Impeller, Under Multiaxial Variable Amplitude Loading

  • Technical Article---Peer-Reviewed
  • Published:
Journal of Failure Analysis and Prevention Aims and scope Submit manuscript

Abstract

An application level study of multiaxial variable amplitude loading condition is presented here, by taking centrifugal impeller used in a gas turbine engine as the model for the study. Algorithms proposed by Bannantine and Socie (BS) and Wang and Brown (WB) were used for counting the damage cycles resulting from the service loading conditions. To estimate the damage parameter and fatigue damage, multiaxial fatigue damage models proposed by Fatemi and Socie (FS) and Smith–Watson–Topper (SWT) were used. The theoretical results were validated through a reliability study using Weibull models. Field data for this study were collected from 18 centrifugal impeller sets removed from different gas turbine engines that were brought to the shop for inspection. The reliabilities of life estimated by the FS model using algorithms proposed by BS and WB were found to fall within 80 and 82%, respectively. The SWT model estimated the life of the centrifugal impeller with reliabilities of 98 and 98.5% using the same algorithms. Appreciable differences in fatigue life were not observed for this application when algorithms proposed by BS or WB were used to count the damage cycles.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. M. Jasiczek, D. Szczosniak, J. Kaczorwski, M. Innocenti, Investigation of Titanium alloy blades used in compressor modules of Aero-derivative Industrial Gas Turbine. J. Fail. Anal. Prev. 13(6), 689–696 (2003)

    Article  Google Scholar 

  2. A. Fatemi, D.F. Socie, A critical plane approach to multiaxial fatigue damage including out of phase loading. J Fatigue Fract. Eng. Mater. Struct. 11(3), 149–166 (1987)

    Article  Google Scholar 

  3. Kandil, F.A., Brown, M.W., Miller, K.J.: Biaxial low cycle fatigue fracture of 316 stainless steel at elevated temperatures. In: International Conference of Mechanical Behaviour and Nuclear Application of Stainless Steel, Varese, May 1981

  4. C.H. Wang, M.W. Brown, A path-independent parameter for fatigue under proportional and non-proportional loading. J Fatigue Fract. Eng. Mater. Struct. 16(12), 1285–1298 (1993)

    Article  Google Scholar 

  5. R.N. Smith, P.P. Watson, T.H. Topper, A stress–strain parameter for fatigue of metals. J. Met. Struct. 5, 767–778 (1970)

    Google Scholar 

  6. S.D. Downing, D.F. Socie, Simple rainflow counting algorithms. Int. J. Fatigue 4, 31–40 (1982)

    Article  Google Scholar 

  7. S.S. Manson, G.R. Halford, Fatigue and Durability of Structural Materials (ASM International, Materials Park, 2006)

    Google Scholar 

  8. A.M. Marco, J.T.P. de Castro, An improved multiaxial rainflow algorithm for non-proportional stress or strain histories—part I: enclosing surface methods. Int. J. Fatigue 42, 217–226 (2012)

    Article  Google Scholar 

  9. Bannantine, J.A., Socie, D.F.: A variable amplitude multiaxial fatigue life prediction method. In: Third International Conference on Biaxial/Multiaxial Fatigue, Stuttgart, April 1989

  10. C.H. Wang, M.W. Brown, On plastic deformation and fatigue under multiaxial loading. Int. J. Fatigue 19, 661 (1997)

    Article  Google Scholar 

  11. C.H. Wang, M.W. Brown, Multiaxial random load fatigue: life prediction techniques and experiments. Multiaxial Fatigue Des. ESISI 21, 513–527 (1996)

    Google Scholar 

  12. A. Vitor, R. Luis, L. Bin, M. Freitas, New cycle counting method for multiaxial fatigue. Int. J. Fatigue 65, 78–94 (2014)

    Article  Google Scholar 

  13. Y. Wang, L. Susmel, Critical plane approach to multiaxial variable amplitude fatigue loading. Frattura ed Integrita Strutturale 33, 345–356 (2015)

    Google Scholar 

  14. M. Sujata, N. Jagannathan, K. Raghavendra, M. Manjunatha, Fatigue fracture of a compressor disc of an aero-engine. J. Fail. Anal. Prev. 13(4), 437–444 (2013)

    Article  Google Scholar 

  15. R.K. Mishra, Johney Thomas, K. Srinivas, I.A. Syed, Fatigue failure of LP compressor blade in a Aero Gas Turbine Engine. J. Fail. Anal. Prev. 14(3), 296–302 (2014)

    Article  Google Scholar 

  16. J.F. Besseling, A theory of elastic, plastic and creep deformation of an initially isotropic material showing anisotropic strain hardening, creep recovery and secondary creep. ASME J. Appl. Mech. 25, 529–536 (1958)

    Google Scholar 

  17. W. Weibull, A statistical distribution of wide applicability. J. Appl. Mech. 18(3), 293–297 (1951)

    Google Scholar 

  18. L.G. Johnson, The statistical treatment of fatigue experiments. Technometrics 7(3), 455 (1965)

    Article  Google Scholar 

  19. F.A. Holland, E.V. Zaretsky, Investigation of Weibull statistics in fracture analysis of cast aluminum. J. Mech. Des. 112(2), 246–254 (1990)

    Article  Google Scholar 

  20. C.P. Prakas, Scatter analysis of fatigue life and prediction. J. Fail. Anal. Prev. 12(5), 507–517 (2012)

    Article  Google Scholar 

  21. J. Raphael, A plausible strategy for modelling fatigue life variations. J. Fail. Anal. Prev. 3(3), 83–88 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Dileep.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dileep, S., Saji Kumar, S. & Thomas, J. Reliability Study and Life Estimation of a Centrifugal Impeller, Under Multiaxial Variable Amplitude Loading. J Fail. Anal. and Preven. 16, 990–998 (2016). https://doi.org/10.1007/s11668-016-0178-y

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11668-016-0178-y

Keywords

Navigation