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A Design Methodology for the Prediction of Squeeze Film Stiffness and Damping Characteristics in Hybrid Journal Bearings under Pulsatile Load Conditions.

Kinnear, D., Mishra, Rakesh, Weston, Bill and Padgett, C. (2010) A Design Methodology for the Prediction of Squeeze Film Stiffness and Damping Characteristics in Hybrid Journal Bearings under Pulsatile Load Conditions. International Conference on Renewable Energies and Power Quality (ICREPQ’10) Granada (Spain), 23rd to 25th March, 2010.

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Abstract

A theoretical investigation into the prediction and measurement
of squeeze film stiffness and damping for double hole entry
hybrid journal bearings has been undertaken together with a
review of previous work to identify critical bearing parameters.
The analysis used a partial differentiation of the Poiseuille and
Hagen-Poiseuille flow equations to develop a mathematical
model for the bearing squeeze film. A novel transfer function
between bearing displacement and load enabled bearing
stiffness and damping coefficients to be obtained from the
subsequent frequency response characteristics.
Parameter maps were developed from the model for both
stiffness and damping and show that the squeeze film stiffness
is a function of bearing clearance and squeeze film pressure and
is independent of fluid viscosity with damping being a function
of viscosity and clearance.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Pedagogical Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
Related URLs:
Depositing User: Rakesh Mishra
Date Deposited: 03 Jun 2010 15:51
Last Modified: 24 Jun 2011 09:02
URI: http://eprints.hud.ac.uk/id/eprint/7787

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