IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i19p6425-d651588.html
   My bibliography  Save this article

Analysis of Performance of Cavitation Models with Analytically Calculated Coefficients

Author

Listed:
  • Andrea Savio

    (Department of Engineering and Architecture, University of Trieste, Via Alfonso Valerio, 6/1, 34127 Trieste, Italy)

  • Marta Cianferra

    (Department of Engineering and Architecture, University of Trieste, Via Alfonso Valerio, 6/1, 34127 Trieste, Italy)

  • Vincenzo Armenio

    (Department of Engineering and Architecture, University of Trieste, Via Alfonso Valerio, 6/1, 34127 Trieste, Italy)

Abstract

Cavitation is often simulated using a mixture model, which considers the transport of an active scalar, namely the vapor fraction α v . Source and sink terms of the transport equation of α v , namely vaporization and condensation terms, rule the dynamics of the cavity and are described through different models. These models contain empirical coefficients generally calibrated through optimization processes. The purpose of this paper is to propose an analytical approach for the calculation of the coefficients, based on the time scales of vaporization and condensation processes. Four different models are compared considering as a test-case a two-dimensional flow around a cylinder. Some relevant quantities are analyzed both for standard value of coefficients, as found in the literature, and the coefficients calculated through the analytical approach. The study shows that the analytical computation of the coefficients of the model substantially improve the results, and the models considered give similar results, both in terms of cavitation regime and mean vapor fraction produced.

Suggested Citation

  • Andrea Savio & Marta Cianferra & Vincenzo Armenio, 2021. "Analysis of Performance of Cavitation Models with Analytically Calculated Coefficients," Energies, MDPI, vol. 14(19), pages 1-22, October.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6425-:d:651588
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/19/6425/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/19/6425/
    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:14:y:2021:i:19:p:6425-:d:651588. 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.