Numerical optimization of surface textures for tilting pad thrust bearings
Numerical optimization of surface textures for tilting pad thrust bearings
A successful application of surface texturing in hydrodynamic bearings relies heavily on efficient numerical models. In this work, several ways to enhance the computational performance of models based on the Reynolds equation are presented and compared to conventional techniques. The present approach is based on a Finite Volume discretization of the Reynolds equation and takes into account mass-conserving cavitation as well as thermal effects. It is shown that applying special discretization schemes to handle discontinuities, using non-uniform and adaptive meshes, taking advantage of multicore processing and strategically utilising different algorithms to find the bearing equilibrium are ways to study textured bearings most efficiently. Furthermore, using the results of an equivalent untextured bearing as first approximation for the textured bearing is shown to significantly reduce computation times. Results are validated through CFD data and correlated with laboratory test results.
Gropper, Daniel
ae8ff6b6-f64b-4b49-9da0-65b153ec027b
Wang, Ling
c50767b1-7474-4094-9b06-4fe64e9fe362
Harvey, Terence
3b94322b-18da-4de8-b1af-56d202677e04
Meck, Klaus-Dieter
107e599b-4697-4175-87d0-e319fb8f2f9a
Ricchiuto, Fabio
274026f3-31fb-495e-8959-91e340a93dce
22 May 2017
Gropper, Daniel
ae8ff6b6-f64b-4b49-9da0-65b153ec027b
Wang, Ling
c50767b1-7474-4094-9b06-4fe64e9fe362
Harvey, Terence
3b94322b-18da-4de8-b1af-56d202677e04
Meck, Klaus-Dieter
107e599b-4697-4175-87d0-e319fb8f2f9a
Ricchiuto, Fabio
274026f3-31fb-495e-8959-91e340a93dce
Gropper, Daniel, Wang, Ling, Harvey, Terence, Meck, Klaus-Dieter and Ricchiuto, Fabio
(2017)
Numerical optimization of surface textures for tilting pad thrust bearings.
72nd STLE Annual Meeting and Exhibition, , Atlanta, United States.
21 - 25 May 2017.
Record type:
Conference or Workshop Item
(Paper)
Abstract
A successful application of surface texturing in hydrodynamic bearings relies heavily on efficient numerical models. In this work, several ways to enhance the computational performance of models based on the Reynolds equation are presented and compared to conventional techniques. The present approach is based on a Finite Volume discretization of the Reynolds equation and takes into account mass-conserving cavitation as well as thermal effects. It is shown that applying special discretization schemes to handle discontinuities, using non-uniform and adaptive meshes, taking advantage of multicore processing and strategically utilising different algorithms to find the bearing equilibrium are ways to study textured bearings most efficiently. Furthermore, using the results of an equivalent untextured bearing as first approximation for the textured bearing is shown to significantly reduce computation times. Results are validated through CFD data and correlated with laboratory test results.
Text
Extended_Abstract_Daniel_Gropper
More information
Published date: 22 May 2017
Venue - Dates:
72nd STLE Annual Meeting and Exhibition, , Atlanta, United States, 2017-05-21 - 2017-05-25
Organisations:
nCATS Group, Education Hub
Identifiers
Local EPrints ID: 408408
URI: http://eprints.soton.ac.uk/id/eprint/408408
PURE UUID: 5e458118-5f43-4779-84ef-8f8326435201
Catalogue record
Date deposited: 20 May 2017 04:02
Last modified: 16 Mar 2024 03:24
Export record
Contributors
Author:
Daniel Gropper
Author:
Klaus-Dieter Meck
Author:
Fabio Ricchiuto
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
