Issue |
Mechanics & Industry
Volume 14, Number 4, 2013
|
|
---|---|---|
Page(s) | 267 - 274 | |
DOI | https://doi.org/10.1051/meca/2013064 | |
Published online | 14 August 2013 |
Improving performance of large thrust bearings through modeling and experimentation
Gdansk University of Technology, Faculty of
Mechanical Engineering, Narutowicza
11/12, 80-233
Gdansk,
Poland
a Corresponding author:
mwasilcz@pg.gda.pl
Received:
18
April
2013
Accepted:
30
May
2013
Large thrust bearings are highly loaded machine elements and their failures cause serious losses. Start ups and stoppages of the bearing under load are specially critical regimes of operation. Load carrying capacity depends on the profile of the oil gap. In transient states this profile is also changing. In the design of large thrust bearings minimizing thermo-elastic deformations is an important goal, which can be accomplished due to application of advanced models of the bearing. Modeling of transient states becomes even more complex since there is a dynamic development of temperature distribution and deformations. Often hydrostatic jacking systems are also used. It seems to the authors that advanced bearing models are applied only in research and development of the bearings while very simple modeling is applied in on-line analysis of data from monitoring systems. Analysis of the measurement data with the use of more sophisticated models may be helpful in assessment of current bearing status – especially in early warning. Material issues create a separate problem for modeling, being more important nowadays as polymer lined bearings come into use. The models used for polymer lined bearings require realistic treatment of heat exchange and resilience of the bearing surface layer.
Key words: Thrust bearings / fluid film models / hydrostatic jacking
© AFM, EDP Sciences 2013
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.