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Determination of the dynamic behavior of an elasto-hydrodynamic bearing

  • Erich Berghammer
  • , Oliver Grieshofer
  • , Karl Mayrhofer
  • , Robert Minichmayr

    Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

    Abstract

    For industrial applications a lot of process know-how and a good understanding of the dynamic behavior of all the individual components and overall mechanical systems are of high importance. Usually, the systems parameters describing the relevant behavior have been determined through extensive technical experiments for using the results in complex simulation models. In many cases a more flexible and efficient method is to set up appropriate mathematical models and to extract the required parameters from them. In this paper a model for a special hydrodynamic bearing will be presented, which has been developed for industrial applications. Furthermore, the present paper will show some advantages of implementing separate modules for the physical characteristics of a hydrodynamic bearing. Under certain conditions it is possible to calculate the deformation of the mechanical components and the pressure of the lubricant within the bearings gap independently. Following with a procedure for the automatically creation of the Finite Element models according to the given guidelines and the method to reproduce surface deformations by influence matrices. Finally, the paper describes the identification of the dynamic behavior of a hydrodynamic bearing by numerically solving of the equilibrium-state between the pressure distribution and the mechanical deformations.
    OriginalspracheEnglisch
    TitelProceedings 6th Vienna Conference on Mathematical Modelling - MathMod'09, Abstract Volume
    Herausgeber*innen I. Troch, F. Breitenecker
    ErscheinungsortVienna
    VerlagARGESIM - Publishing House
    Seiten303
    Seitenumfang1
    Band34
    ISBN (Print)978-3-901608-34-6
    PublikationsstatusVeröffentlicht - Feb. 2009

    Publikationsreihe

    NameARGESIM Report

    Wissenschaftszweige

    • 101 Mathematik
    • 102 Informatik
    • 202 Elektrotechnik, Elektronik, Informationstechnik
    • 202009 Elektrische Antriebstechnik
    • 202027 Mechatronik
    • 202034 Regelungstechnik
    • 202036 Sensorik
    • 203 Maschinenbau
    • 203033 Hydraulische Antriebstechnik

    JKU-Schwerpunkte

    • Mechatronics and Information Processing

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