IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v230y2021ics0360544221009142.html
   My bibliography  Save this article

Influence of blade corrosion on aerodynamic characteristics of a gas turbine

Author

Listed:
  • Yonezawa, Koichi
  • Nakai, Genki
  • Takayasu, Masahiro
  • Sugiyama, Kazuyasu
  • Sugita, Katsuhiko
  • Umezawa, Shuichi
  • Ohmori, Shuichi

Abstract

Gas turbine blades, such as nozzle guide vanes and rotor blades, corrode over time and thus deteriorate, becoming thinner and shorter. In the present study, influences of blade corrosion on aerodynamic characteristics were examined numerically. The purposes of this study were to understand the influence of the blade deterioration on aerodynamic characteristics quantitatively under the same conditions with that in a power plant, and to clarify how to detect severe deterioration during gas turbine operation. Blade geometries before and after use were obtained from a real gas turbine using a 3-D scanner. Two parametric CFD simulations were carried out: one simulation was conducted with various turbine expansion ratios and a fixed turbine inlet temperature, and the other was conducted with various inlet temperatures and a fixed expansion ratio. According to the results of both simulations, a change in the throat area of the first-stage nozzle affected the aerodynamic characteristics significantly. The expansion ratio was found to be more useful. Numerical results obtained under actual operating conditions confirmed that the difference in the expansion ratio was about 3% between the new and old blades in the examined gas turbine.

Suggested Citation

  • Yonezawa, Koichi & Nakai, Genki & Takayasu, Masahiro & Sugiyama, Kazuyasu & Sugita, Katsuhiko & Umezawa, Shuichi & Ohmori, Shuichi, 2021. "Influence of blade corrosion on aerodynamic characteristics of a gas turbine," Energy, Elsevier, vol. 230(C).
    • Handle: RePEc:eee:energy:v:230:y:2021:i:c:s0360544221009142
    DOI: 10.1016/j.energy.2021.120665
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221009142
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.120665?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Park, Yeseul & Choi, Minsung & Choi, Gyungmin, 2022. "Fault detection of industrial large-scale gas turbine for fuel distribution characteristics in start-up procedure using artificial neural network method," Energy, Elsevier, vol. 251(C).
    2. Nakhchi, M.E. & Naung, S. Win & Rahmati, M., 2022. "Influence of blade vibrations on aerodynamic performance of axial compressor in gas turbine: Direct numerical simulation," Energy, Elsevier, vol. 242(C).
    3. Gong, Wenbin & Lei, Zhao & Nie, Shunpeng & Liu, Gaowen & Lin, Aqiang & Feng, Qing & Wang, Zhiwu, 2023. "A novel combined model for energy consumption performance prediction in the secondary air system of gas turbine engines based on flow resistance network," Energy, Elsevier, vol. 280(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:230:y:2021:i:c:s0360544221009142. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.