IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i14p5251-d1189738.html
   My bibliography  Save this article

Numerical Study on Sensitivity of Turbofan Engine Performance to Blade Count of Centrifugal Compressor Impeller

Author

Listed:
  • Arkadiusz Bednarz

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Ave. Powstanców Warszawy 12, 35-959 Rzeszów, Poland
    These authors contributed equally to this work.)

  • Kirill Kabalyk

    (Institute of Turbomachinery, Lodz University of Technology, Wólczańska 217/221, 93-005 Łódz, Poland
    These authors contributed equally to this work.)

  • Robert Jakubowski

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Ave. Powstanców Warszawy 12, 35-959 Rzeszów, Poland)

  • Rafał Bartłomowicz

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Ave. Powstanców Warszawy 12, 35-959 Rzeszów, Poland)

Abstract

The aim of this publication was to investigate the effects the blade count of a high-pressure centrifugal compressor’s impeller has on the performance of the DGEN 380 turbine engine at take-off. The study began with the development of a zero-dimensional thermo-fluid model of the engine. The model was matched with experimental data from the WESTT CS/BV virtual test bench for the baseline count and then implemented to analyse the engine behaviour at alternative counts. The corresponding changes in the compressor pressure ratio and efficiency were modelled in a commercial 3D CFD software and transferred to the zero-dimensional model with proper scaling. The results proved that the baseline design lied in the optimal range of thrust-specific fuel consumption. The increase in the blade count led to a crisis of the aerodynamic loading at the splitters, so that no further rise in the pressure ratio could be achieved. The results of the study could be implemented by mechanical engineers while solving the tasks of the maintenance and modernisation of gas turbines with radial compressors.

Suggested Citation

  • Arkadiusz Bednarz & Kirill Kabalyk & Robert Jakubowski & Rafał Bartłomowicz, 2023. "Numerical Study on Sensitivity of Turbofan Engine Performance to Blade Count of Centrifugal Compressor Impeller," Energies, MDPI, vol. 16(14), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5251-:d:1189738
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/14/5251/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/14/5251/
    Download Restriction: no
    ---><---

    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:gam:jeners:v:16:y:2023:i:14:p:5251-:d:1189738. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.