Experimental and theoretical investigations on transition of lubrication conditions for a five-pad tilting-pad journal bearing with eccentric pivot up to highest surface speeds

Lubrication conditions of tilting-pad journal bearings strongly depend on the combination of bearing design, lubricant flow rate, and operating boundary conditions. A five-pad tilting-pad journal bearing is investigated experimentally for surface speeds ranging from 25 to 140 m/s and specific bearin...

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Bibliographic Details
Published in:Tribology international 2020-02, Vol.142, p.106008, Article 106008
Main Authors: Hagemann, Thomas, Zemella, Philipp, Pfau, Bastian, Schwarze, Hubert
Format: Article
Language:English
Subjects:
Bearing design
Bearing strength
Boundary conditions
Empirical analysis
Flow velocity
Inlet mixing
Journal bearings
Lubricants
Lubricants & lubrication
Lubrication
Measurement and prediction
Thermo-hydrodynamic lubrication
Tilting-pad journal bearing
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Summary:Lubrication conditions of tilting-pad journal bearings strongly depend on the combination of bearing design, lubricant flow rate, and operating boundary conditions. A five-pad tilting-pad journal bearing is investigated experimentally for surface speeds ranging from 25 to 140 m/s and specific bearing loads between 1.0 and 4.0 MPa at different fresh oil flow rates. Comparisons to theoretical analyses indicate speed-dependent transition from fully flooded to partially filled conditions in certain space between pad regions. These conditions are discussed in detail and a semi-empirical model to approximate this behavior is proposed and validated with the test data. •Comprehensive experimental and theoretical results for the hydrodynamic operating range of tilting‐pad journal bearings.•Measurements up to surface speeds of 140 m/s and specific bearing loads of 4.0 MPa on a modern test rig.•Identification of transition from fully flooded to partly filled conditions within the secondary flow regime.•Detailed theoretical analyses related to lubrication conditions including specific model derivation.•Comprehensive validation of predictions.
ISSN:0301-679X
1879-2464
DOI:10.1016/j.triboint.2019.106008