IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i22p5997-d446302.html
   My bibliography  Save this article

Tailoring the Bore Surfaces of Water Hydraulic Axial Piston Machines to Piston Tilt and Deformation

Author

Listed:
  • Meike Ernst

    (School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA)

  • Andrea Vacca

    (School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA)

  • Monika Ivantysynova

    (School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA
    Deceased 2018.)

  • Georg Enevoldsen

    (Danfoss High Pressure Pumps, DK-6430 Nordborg, Denmark)

Abstract

A novel virtual prototyping algorithm has been developed to design one of the most critical lubricating interfaces in axial piston machines of the swash plate type—the piston–cylinder interface—for operation with water as the working fluid. Due to its low viscosity, the use of water as a lubricant can cause solid friction and wear in these machines at challenging operating conditions. The prototyping algorithm compensates for this by tailoring the shape of the bore surface that guides the motion of each piston in this type of positive displacement machine to conform with the piston surface, taking into account both the piston’s tilt and its deformation. Shaping these surfaces in this manner can render the interface more conducive to generating hydrodynamic pressure buildup that raises its load-carrying capacity. The present work first outlines the structure of the proposed algorithm, then presents a case study in which it is employed to design a bore surface shape for use with two prototypes, one virtual and one physical—both modified versions of a 444 cc commercial axial piston pump. Experimental testing of the physical prototype shows it to achieve a significantly higher maximum total efficiency than the stock unit.

Suggested Citation

  • Meike Ernst & Andrea Vacca & Monika Ivantysynova & Georg Enevoldsen, 2020. "Tailoring the Bore Surfaces of Water Hydraulic Axial Piston Machines to Piston Tilt and Deformation," Energies, MDPI, vol. 13(22), pages 1-31, November.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:5997-:d:446302
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/22/5997/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/22/5997/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:13:y:2020:i:22:p:5997-:d:446302. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.