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Lifetime Assessment of a Low-Pressure Steam Turbine Blade

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Abstract

Purpose

This work proposes a multilayer methodology for assessing the lifetime of steam turbine blades based on damage calculation, fracture mechanics considerations, and probabilistic analysis.

Methods

The life consumption of steam turbine components is determined through evaluation of steady-state stresses (thermal and centrifugal) and transient stresses. Transient stress analysis is conducted for cold start, warm start, and hot start scenarios, utilizing startup curves derived from available site information and operation manuals. Temperature and stress distributions are determined, followed by life estimation calculations for Creep life damage and fatigue damage using modified Miner and Palmgren’s rule.

Results

Analysis reveals that maximum damage occurs during cold start due to the generation of maximum transient stresses. Critical crack size and time to failure assuming a notch are calculated through fracture mechanics considerations.

Conclusion

The proposed multilayer methodology offers a comprehensive approach to assessing the lifetime of steam turbine blades, integrating damage calculation, fracture mechanics, and probabilistic analysis. This approach enhances understanding of blade performance under various operating conditions and aids in optimizing maintenance strategies for steam turbine systems.

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Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  1. Viswanathan R, Jaffee RI (1985) Metallurgical factors affecting the reliability of fossil steam turbine rotors. J Eng Gas Turbines Power 107:642–651. https://doi.org/10.1115/1.3239784

    Article  Google Scholar 

  2. Becker WT, Shipley RJ (2002) Failure analysis and prevention. ASM International

  3. Zhang Z, Liu T, Zhang D, Xie Y (2021) Water droplet erosion life prediction method for steam turbine blade materials based on image recognition and machine learning. J Eng Gas Turbines Power 143:1–9. https://doi.org/10.1115/1.4049768

    Article  Google Scholar 

  4. Sabour MH, Bhat RB (2008) Lifetime prediction in creep-fatigue environment. Mater Sci Pol 26:563–584

    Google Scholar 

  5. Zhang D, Hong J, Ma Y, Chen L (2011) A probability method for prediction on High Cycle Fatigue of blades caused by aerodynamic loads. Adv Eng Softw 42:1059–1073. https://doi.org/10.1016/j.advengsoft.2011.07.010

    Article  Google Scholar 

  6. Liu Y, Mahadevan S (2007) Stochastic fatigue damage modeling under variable amplitude loading. Int J Fatigue 29:1149–1161. https://doi.org/10.1016/j.ijfatigue.2006.09.009

    Article  Google Scholar 

  7. Shen MHH (1999) Reliability assessment of high cycle fatigue design of gas turbine blades using the probabilistic Goodman diagram. Int J Fatigue 21:699–708. https://doi.org/10.1016/S0142-1123(99)00033-X

    Article  Google Scholar 

  8. Shen H, Lin J, Mu E (2000) Probabilistic model on stochastic fatigue damage. Int J Fatigue 22:569–572. https://doi.org/10.1016/S0142-1123(00)00030-X

    Article  Google Scholar 

  9. Geng MF (1998) An idea for predicting crack growth time to fracture under creep-fatigue conditions. Mater Sci Eng A 257:250–255. https://doi.org/10.1016/S0921-5093(98)00849-1

    Article  Google Scholar 

  10. Booysen C, Heyns PS, Hindley MP, Scheepers R (2015) Fatigue life assessment of a low pressure steam turbine blade during transient resonant conditions using a probabilistic approach. Int J Fatigue 73:17–26. https://doi.org/10.1016/j.ijfatigue.2014.11.007

    Article  Google Scholar 

  11. Sadananda K, Shahinian P (1980) Elastic-plastic fracture mechanics for high-temperature fatigue crack growth. In: Paris PC (ed) ASTM International. ASTM International, pp 365–390

  12. Marie S, Delaval C (2001) Fatigue and creep-fatigue crack growth in 316 stainless steel cracked plates at 650°C. Int J Press Vessel Pip 78:847–857. https://doi.org/10.1016/S0308-0161(01)00099-0

    Article  Google Scholar 

  13. Sadananda K, Shahinian P (1981) Creep-fatigue crack growth. In: Cavities and cracks in creep and fatigue, pp 109–195

  14. Mariusz B, Ralf G (2003) probabilistic approach to lifetime assessment of steam turbines. Trans Inst Mach FLUID-FLOW 113:95–106

    Google Scholar 

  15. Maile K, Klenk A, Granacher J, Schellenberg G (1999) Creep and creep fatigue crack behavior of 1Cr-and 9Cr-steels. Key engineering materials. Trans Tech Publications Ltd, Switzerland, pp 85–98

    Google Scholar 

  16. Mazur-Buyko K (1986) Computational methods of lifetime determination of steam turbine casings and rotors. In: 1st Scientific-Technical Session “Lifetime of steam turbine components and methods of its prediction”, pp 42–53

  17. Ramaswamy V (1989) Damage mechanisms and life assessment of high temperature components. ASM International

  18. Rzadkowski R, Drewczynski M, Rao JS, Ranjith MC, Piechowski L, Szczepanik R (2014) Crack initiation and propagation of compressor blade of aircraft engine. J Vib Eng Technol 2:371–384

    Google Scholar 

  19. Guan X, He J (2019) Life time extension of turbine rotating components under risk constraints: a state-of-the-art review and case study. Int J Fatigue 129:104799. https://doi.org/10.1016/j.ijfatigue.2018.08.003

    Article  Google Scholar 

  20. Dowson D (2018) Metallurgical failure analysis of steam turbine, compressor, and hot gas expander components David. Singapore

  21. Banaszkiewicz M (2016) Analysis of rotating components based on a characteristic strain model of creep. J Eng Mater Technol Trans ASME 138:1–11. https://doi.org/10.1115/1.4032661

    Article  Google Scholar 

  22. Banaszkiewicz M (2018) Numerical investigations of crack initiation in impulse steam turbine rotors subject to thermo-mechanical fatigue. Appl Therm Eng 138:761–773. https://doi.org/10.1016/J.APPLTHERMALENG.2018.04.099

    Article  Google Scholar 

  23. Enomoto Y (2017) Steam turbine retrofitting for the life extension of power plants. Elsevier Ltd

  24. Basu I, Fidder H, Ocelík V, De Hosson JTM (2018) Local stress states and microstructural damage response associated with deformation twins in hexagonal close packed metals. Crystals 8:1–15. https://doi.org/10.3390/cryst8010001

    Article  Google Scholar 

  25. Zhou W, Afshan S, Lin J (2020) An investigation of damage healing in high temperature compressive forming process. In: Procedia manufacturing. Elsevier B.V., Department of Mechanical Engineering, Imperial College London, London, pp 602–608

  26. Banaszkiewicz M (2015) Multilevel approach to lifetime assessment of steam turbines. Int J Fatigue 73:39–47. https://doi.org/10.1016/j.ijfatigue.2014.10.009

    Article  Google Scholar 

  27. Becker WT, Shipley RJ (2002) Failure analysis and prevention. Fail Anal Prev. https://doi.org/10.31399/asm.hb.v11.9781627081801

  28. Webster, George A (2013) High temperature component life assessment. Webster, Georg A, Robert A Ainsworth 2013

  29. Ramu NM (2007) https://www.scribd.com/document/488965908/ALSTOM-TURBINE-pdf

  30. Fatemi A, Yang L (1998) Cumulative fatigue damage and life prediction theories. Int J Fatigue 20:9–34

    Article  Google Scholar 

  31. Gooley TA, Leisenring W, Crowley J, Storer BE (1999) Estimation of failure probabilities in the presence of competing risks: new representations of old estimators. Stat Med 18:695–706. https://doi.org/10.1002/(sici)1097-0258(19990330)18:6<695::aid-sim60>3.0.co;2-o

  32. Banaszkiewicz MARIUSZ, Gerdes RALF (2003) Probabilistic approach to lifetime assessment of steam turbines. Trans Inst Fluid-Flow Mach (113):95–106

  33. Liu AF (1998) Structural life assessment methods. ASM international

  34. Paris PC, Gomez MP (1961) A rational analytic theory of fatigue. Trend Eng 13:9–14

    Google Scholar 

  35. Rani P, Agrawal AK (2022) Failure analysis of a low-pressure stage steam turbine blade. Nondestruct Test Eval GNTE. https://doi.org/10.1111/jipb.13407

    Article  Google Scholar 

  36. Měšt’´ Anek P (2008) Low cycle fatigue analysis of a last stage steam turbine blade. Appl Comput Mech 2:71–82

    Google Scholar 

  37. Ruzicka M, Hanke M (1989) "Dynamická pevnost a zivotnost. Czech Tech Univ Prag, Prag

    Google Scholar 

  38. Bolton J (2008) A “characteristic-strain” model for creep. Mater High Temp 25:197–204. https://doi.org/10.3184/096034008X357573

    Article  Google Scholar 

  39. Banaszkiewicz M (2016) Analysis of rotating components based on a characteristic strain model of creep. J Eng Mater Technol. https://doi.org/10.1115/1.4032661

  40. Boyle JT (2011) The behavior of structures based on the characteristic strain model of creep. Int J Press Vessel Pip 88:473–481. https://doi.org/10.1016/j.ijpvp.2011.08.002

    Article  Google Scholar 

  41. Bolton J (2008) Analysis of structures based on a characteristic-strain model of creep. Int J Press Vessel Pip 85:108–116. https://doi.org/10.1016/j.ijpvp.2007.06.013

    Article  Google Scholar 

  42. Rao JS (1995) Fracture mechanics analysis of a last stage steam turbine blade failure. In: International design engineering technical conferences and computers and information in engineering conference, vol 97652. American Society of Mechanical Engineers, pp 1173–1180

  43. Vyas NS, Rao JS (1994) Fatigue life estimation procedure for a turbine blade under transient loads. J Eng Gas Turbines Power 116:198–206. https://doi.org/10.1115/1.2906792

    Article  Google Scholar 

  44. Khan MS, Sasikumar C (2022) A water droplet erosion-induced fatigue crack propagation and failure in X20Cr13 martensitic stainless-steel turbines working at low pressure. Eng Fail Anal 139:106491. https://doi.org/10.1016/j.engfailanal.2022.106491

    Article  Google Scholar 

  45. Wood RA (1977) Status of titanium blading for low-pressure steam turbines. Final report [Ti-6Al-V alloys] (No. EPRI-AF-445). Battelle Columbus Labs., OH (United States)

  46. Cui L, Wang P (2014) Two lifetime estimation models for steam turbine components under thermomechanical creep-fatigue loading. Int J Fatigue 59:129–136. https://doi.org/10.1016/j.ijfatigue.2013.09.007

    Article  Google Scholar 

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Acknowledgements

The authors would like to extend their appreciation to Dr. M. K. Sharma, Technical Director: AEQUITAS VERITAS INDUSTRIAL SERVICES (AVIS) laboratory, for his assistance as well as to Mr. D. C. Nirmal, Senior DGM (STE-BHEL Bhopal), and Mr. Manoj Yadav, Manager (COE-BHEL BHOPAL), who provided invaluable technical advice regarding steam turbines.

Funding

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: POOJA RANI reports equipment, data, or supplies was provided by AVISLABORATOTY, VADODARA, INDIA.

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Rani, P., Agrawal, A.K. Lifetime Assessment of a Low-Pressure Steam Turbine Blade. J. Vib. Eng. Technol. (2024). https://doi.org/10.1007/s42417-024-01412-1

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