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Research Papers: Gas Turbines: Structures and Dynamics

Performance of Adaptive Lubricants in a Hybrid Journal Bearing Operating Under Fully Saturated Conditions

[+] Author and Article Information
Ssu-Ying Chien

Laboratory for Turbomachinery and
Components,
Engineering Mechanics Program,
Department of Biomedical
Engineering and Mechanics,
Virginia Polytechnic Institute and
State University,
Blacksburg, VA 24060
e-mail: armani23@vt.edu

M. S. Cramer

Engineering Mechanics Program,
Department of Biomedical
Engineering and Mechanics,
Virginia Polytechnic Institute and
State University,
Blacksburg, VA 24060
e-mail: macramer@vt.edu

Gen Fu

Laboratory for Turbomachinery and
Components,
Engineering Mechanics Program,
Department of Biomedical
Engineering and Mechanics,
Virginia Polytechnic Institute and
State University,
Blacksburg, VA 24060
e-mail: gen8@vt.edu

Alexandrina Untaroiu

Laboratory for Turbomachinery and
Components,
Engineering Mechanics Program,
Department of Biomedical
Engineering and Mechanics,
Virginia Polytechnic Institute and
State University,
Blacksburg, VA 24060
e-mail: alexu@vt.edu

Contributed by the Structures and Dynamics Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received August 28, 2017; final manuscript received October 7, 2017; published online February 21, 2018. Editor: David Wisler.

J. Eng. Gas Turbines Power 140(6), 062504 (Feb 21, 2018) (7 pages) Paper No: GTP-17-1481; doi: 10.1115/1.4038551 History: Received August 28, 2017; Revised October 07, 2017

Adaptive lubricants involve binary mixture of synthetic oil and dissolved carbon dioxide (CO2). Unlike conventional lubricant oils, the lubricant viscosity not only varies with the temperature within the bearing but also can be directly adjusted through the CO2 concentration in the system. In this study, we consider the synthetic oil to be fully saturated by CO2 to investigate the maximum impacts of adaptive lubricants on the performance of a hybrid journal bearing. The adaptive lubricant analyzed for this study was the polyalkylene glycol (PAG) oil with low concentration of CO2 (<30%). A three-dimensional (3D) computational fluid dynamic (CFD) model of the bearing was developed and validated against the experimental data. The mixture composition and the resultant mixture viscosity were calculated as a function of pressure and temperature using empirical equations. The simulation results revealed that the viscosity distribution within the PAG/CO2-lubricated bearing is determined primarily by the pressure at the low operating speed. When the speed becomes higher, it is the temperature effect that dominates the viscosity distribution within the bearing. Moreover, the PAG/CO2-lubricated bearing can reduce up to 12.8% power loss than the PAG-lubricated bearing due to the low viscosity of PAG/CO2 mixture. More importantly, we have found that the PAG/CO2 can enhance the load capacity up to 19.6% when the bearing is operating at high-speed conditions.

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Figures

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Fig. 1

Characteristics of adaptive lubricants

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Fig. 2

Solubility of CO2 in PAG oils

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Fig. 7

(a) Pressure, (b) temperature and (c) viscosity profiles for the high-speed bearing lubricated with PAG (first row) and PAG/CO2 (second row) lubricants at ε = 0.2

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Fig. 4

Hybrid bearing model and boundary conditions setup

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Fig. 3

Viscosity of PAG/CO2 mixtures

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Fig. 6

(a) Pressure, (b) temperature and (c) viscosity profiles for the low-speed bearing lubricated with PAG (first row) and PAG/CO2 (second row) lubricants at ε = 0.2

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Fig. 5

Grid arrangement of the hybrid bearing

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Fig. 8

Distributions of CO2 concentration in the hybrid journal bearing at ε = 0.2

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Fig. 9

Power loss versus operating speed (ε = 0.1)

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Fig. 10

Load versus operating speed

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