IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i11p3210-d183931.html
   My bibliography  Save this article

Scaling Criteria for Axial Piston Machines Based on Thermo-Elastohydrodynamic Effects in the Tribological Interfaces

Author

Listed:
  • Lizhi Shang

    (Maha Fluid Power Research Center, Purdue University, 1500 Kepner Dr., Lafayette, IN 47905, USA)

  • Monika Ivantysynova

    (Maha Fluid Power Research Center, Purdue University, 1500 Kepner Dr., Lafayette, IN 47905, USA)

Abstract

In lieu of reliable scaling rules, hydraulic pump and motor manufacturers pay a high monetary and temporal price for attempting to expand their production lines by scaling their existing units to other sizes. The challenge is that the lubricating interfaces, which are the key elements in determining the performance of a positive displacement machine, are not easily scalable. This article includes an analysis of the size-dependence of these units with regard to the significant physical phenomena describing the behavior of their three most critical lubricating interfaces. These phenomena include the non-isothermal elastohydrodynamic effects in the fluid domain, and the heat transfer and thermal elastic deflection in the solid domain. The performance change due to size variation is found to be unavoidable and explained through fundamental physics. The results are demonstrated using a numerical fluid–structure–thermal interaction model over a wide range of unit sizes. Based on the findings, a guide to scaling swashplate-type axial piston machines such as to uphold their efficiency is proposed.

Suggested Citation

  • Lizhi Shang & Monika Ivantysynova, 2018. "Scaling Criteria for Axial Piston Machines Based on Thermo-Elastohydrodynamic Effects in the Tribological Interfaces," Energies, MDPI, vol. 11(11), pages 1-25, November.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3210-:d:183931
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/11/3210/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/11/3210/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Rene Chacon & Monika Ivantysynova, 2019. "Virtual Prototyping of Axial Piston Machines: Numerical Method and Experimental Validation," Energies, MDPI, vol. 12(9), pages 1-29, May.
    2. Hyukjoon Kwon & Monika Ivantysynova, 2020. "System Characteristics Analysis for Energy Management of Power-Split Hydraulic Hybrids," Energies, MDPI, vol. 13(7), pages 1-23, April.
    3. Jihai Jiang & Zebo Wang, 2021. "Optimization and Influence of Micro-Chamfering on Oil Film Lubrication Characteristics of Slipper/Swashplate Interface within Axial Piston Pump," Energies, MDPI, vol. 14(7), pages 1-19, April.

    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:11:y:2018:i:11:p:3210-:d:183931. 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.