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    [[The]] effects of compressibility in journal bearings : an evaluation of numerical methods and solutions for Reynolds Lubrication Theory using Python

    Author
    Simpson, Christopher
    View/Open
    177931_Simpson_rpi_0185N_11024.pdf (3.195Mb)
    Other Contributors
    Gutierrez-Miravete, Ernesto; Dunn, Stanley; Hughes, Michael;
    Date Issued
    2016-12
    Subject
    Mechanical engineering
    Degree
    MS;
    Terms of Use
    This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.;
    Metadata
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    URI
    https://hdl.handle.net/20.500.13015/1865
    Abstract
    The accuracy, efficiency, and stability of finite difference solutions of the incompressible and compressible expressions of Reynolds Lubrication Theory are evaluated using tools and methods implemented in the Python programming language. Results for the incompressible form of the theory are compared to analytical predictions while solutions obtained for the compressible form are compared to finite element solutions obtained using commercially available software. Four solution methods are evaluated and an optimal method is identified for further study and enhancement. Having established an optimal method, parametric studies varying the system operating speed, shaft eccentricity, and lubricant viscosity are conducted to understand the degree to which compressible fluids influence journal bearing behavior. Numerical instabilities encountered in the solution of the compressible form of the theory are explored and discussed.;
    Description
    December 2016; School of Engineering
    Department
    Dept. of Mechanical, Aerospace, and Nuclear Engineering;
    Publisher
    Rensselaer Polytechnic Institute, Troy, NY
    Relationships
    Rensselaer Theses and Dissertations Online Collection;
    Access
    Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.;
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    • RPI Theses Online (Complete)

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