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Design optimization and probabilistic analysis of a hydrodynamic journal bearingA nonlinear constrained optimization of a hydrodynamic bearing was performed yielding three main variables: radial clearance, bearing length to diameter ratio, and lubricating oil viscosity. As an objective function a combined model of temperature rise and oil supply has been adopted. The optimized model of the bearing has been simulated for population of 1000 cases using Monte Carlo statistical method. It appeared that the so called 'optimal solution' generated more than 50 percent of failed bearings, because their minimum oil film thickness violated stipulated minimum constraint value. As a remedy change of oil viscosity is suggested after several sensitivities of variables have been investigated.
Document ID
19940004713
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Liniecki, Alexander G.
(San Jose State Univ. CA, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1990
Publication Information
Publication: NASA. Langley Research Center, The Third Air Force(NASA Symposium on Recent Advances in Multidisciplinary Analysis and Optimization
Subject Category
Mechanical Engineering
Accession Number
94N71468
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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