The Impact of Convective Fluid Inertia Forces on Operation of Tilting-Pad Journal Bearings
Autor: | Maximilian Prölß, Thomas Hagemann, Christopher Zeh, Hubert Schwarze |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Convection
Leading edge Article Subject media_common.quotation_subject Flow (psychology) 02 engineering and technology Computational fluid dynamics Inertia Industrial and Manufacturing Engineering law.invention Physics::Fluid Dynamics 0203 mechanical engineering law Fluid dynamics media_common Bearing (mechanical) business.industry Mechanical Engineering article Mechanics 021001 nanoscience & nanotechnology Reynolds equation 020303 mechanical engineering & transports Classical mechanics lcsh:TA1-2040 0210 nano-technology business lcsh:Engineering (General). Civil engineering (General) ddc:600 Geology |
Zdroj: | International Journal of Rotating Machinery, Vol 2017 (2017) |
ISSN: | 1023-621X |
DOI: | 10.1155/2017/5683763 |
Popis: | This paper presents a combination of experimental data, CFD analyses, and bearing code predictions on emergence of convective inertia fluid forces within the lube oil flow of tilting-pad journal bearings. Concordantly, experimental data and CFD analyses show a significant rise of local pressure at the transition between inlet and leading edge of tilting-pad, especially for high-speed applications with surface speeds up to 100 m/s. This effect can be related to convective inertia forces within fluid flow as cross-sections and flow character rapidly change at the pad entrance. An energy-based approach is implemented in the bearing code in order to provide enhanced boundary conditions for Reynolds equation considering this effect. As a result, predictions of bearing code achieved significant improved correlation with measured pressure distributions and CFD-data. Further, beside the local influence, a nonnegligible impact on characteristic parameters of bearing operation such as maximum temperature and stiffness and damping coefficients is observed. Finally, the results are critically analyzed and requirements to gain more distinct and reliable data are specified. |
Databáze: | OpenAIRE |
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