Numerical Modelling of Wet Steam Flows in Turbine Blades

  • Conference paper
  • First Online:
Advances in Heat Transfer and Thermal Engineering

Abstract

Computational fluid dynamics modelling is developed to study steam condensations within turbine blades. The numerical result is validated against experimental data available in the literature. The comparison of pressure distributions at blade pressure and suction sides demonstrates that the numerical results agree well with experimental data. The numerical result shows that the subcooling of steam can achieve 50 K which induces a maximum nucleation rate of approximately 1.77 × 1025 m−3 s−1. The produced liquid wetness reaches around 5% of the total mass of steam.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. E.Y. Rad, M.R. Mahpeykar, Studying the effect of convergence parameter of CUSP’s scheme in 2D modeling of novel combination of two schemes in nucleating steam flow in cascade blades. Numer. Heat Transfer Part B: Fundamentals 72(4), 325–347 (2017)

    Article  Google Scholar 

  2. G. Zhang, F. Wang, D. Wang, T. Wu, X. Qin, Z. **, Numerical study of the dehumidification structure optimization based on the modified model. Energy Convers. Manage. 181, 159–177 (2019)

    Article  Google Scholar 

  3. S. Dykas, M. Majkut, M. Strozik, K. Smołka, Experimental study of condensing steam flow in nozzles and linear blade cascade. Int. J. Heat Mass Transf. 80, 50–57 (2015)

    Article  Google Scholar 

  4. S. Dykas, M. Majkut, K. Smołka, M. Strozik, Study of the wet steam flow in the blade tip rotor linear blade cascade. Int. J. Heat Mass Transf. 120, 9–17 (2018)

    Article  Google Scholar 

  5. C. Wen, N. Karvounis, J.H. Walther, Y. Yan, Y. Feng, Y. Yang, An efficient approach to separate CO2 using supersonic flows for carbon capture and storage. Appl. Energy 238, 311–319 (2019)

    Article  Google Scholar 

  6. Y. Yang, X. Zhu, Y. Yan, H. Ding, C. Wen, Performance of supersonic steam ejectors considering the nonequilibrium condensation phenomenon for efficient energy utilisation. Appl. Energy 242, 157–167 (2019)

    Article  Google Scholar 

  7. J. Young, The spontaneous condensation of steam in supersonic nozzle. Physico Chem. Hydrodyn. 3(1), 57–82 (1982)

    Google Scholar 

  8. C. Wen, N. Karvounis, J.H. Walther, H. Ding, Y. Yang, Non-equilibrium condensation of water vapour in supersonic flows with shock waves. Int. J. Heat Mass Transf. 149, 119109 (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yan Yang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wen, C., Zhu, X., Ding, H., Yang, Y. (2021). Numerical Modelling of Wet Steam Flows in Turbine Blades. In: Wen, C., Yan, Y. (eds) Advances in Heat Transfer and Thermal Engineering . Springer, Singapore. https://doi.org/10.1007/978-981-33-4765-6_68

Download citation

  • DOI: https://doi.org/10.1007/978-981-33-4765-6_68

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4764-9

  • Online ISBN: 978-981-33-4765-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Navigation