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Experimental Comparison of Hydrostatic Bearing Pad Geometry Optimization Approaches Under Static Conditions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F24%3APU152397" target="_blank" >RIV/00216305:26210/24:PU152397 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-031-70462-8_1" target="_blank" >https://doi.org/10.1007/978-3-031-70462-8_1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-70462-8_1" target="_blank" >10.1007/978-3-031-70462-8_1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Experimental Comparison of Hydrostatic Bearing Pad Geometry Optimization Approaches Under Static Conditions

  • Original language description

    Hydrostatic bearings are widely used in various applications, but their continuous need for externally pressurized lubricant poses energy consumption challenges. This study aims to experimentally compare the performance of hydrostatic bearing pad geometry optimization approaches. Using a two-pad hydrostatic tester with online diagnostics, we evaluated optimized multi-recess pads derived from classical and computational fluid dynamics (CFD) approaches. Our findings reveal that the CFD approach achieves a 12% increase in film thickness and a 21% increase in recess pressure compared to the classical approach under equivalent experimental conditions. However, the enhanced performance of CFD-optimized pads comes with increased sensitivity to local overload or misalignment, as evidenced in this study. While adopting the CFD-optimized geometry promises notable reductions in energy demands, ensuring precise alignment, particularly in large-scale applications, remains critical. In conclusion, our study indicates that employing the CFD optimization approach can effectively lower the service costs of hydrostatic bearings. However, achieving optimal results requires careful attention to alignment.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Latest Advancements in Mechanical Engineering. ISIEA 2024. Lecture Notes in Networks and Systems

  • ISBN

    978-3-031-70461-1

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    1-11

  • Publisher name

    Springer

  • Place of publication

    neuveden

  • Event location

    Bozen-Bolzano, Italy

  • Event date

    Jun 18, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article