Imperial College London
Portrait Picture

Professor Rob Hewson

Faculty of Engineering, Department of Aeronautics

Professor of Multidisciplinary Design Optimisation
 
 
 
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Contact

 

r.hewson Website

 
 
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Location

 

341City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{de:2016:10.1007/s00158-016-1412-7,
author = {de, boer GN and Gao, L and Hewson, RW and Thompson, HM and Raske, N and Toropov, VV},
doi = {10.1007/s00158-016-1412-7},
journal = {Structural and Multidisciplinary Optimization},
pages = {483--497},
title = {A multiscale method for optimising surface topography in elastohydrodynamic lubrication (EHL) using metamodels},
url = {http://dx.doi.org/10.1007/s00158-016-1412-7},
volume = {54},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The frictional performance of a bearing is ofsignificant interest in any mechanical system wherethere are lubricated surfaces under load and in relativemotion. Surface topography plays a major role in determiningthe coefficient of friction for the bearing becausethe size of the fluid film and topography are of a comparableorder. The problem of optimising topography forsuch a system is complicated by the separation in scalesbetween the size of the lubricated domain and that ofthe topography, which is of at least one order of magnitudeor more smaller. This paper introduces amultiscale method for optimising the small scale topographyfor improved frictional performance of the largescale bearing. The approach fully couples theelastohydrodynamic lubrication at both scales betweenpressure generated in the lubricant and deformation ofthe bounding surfaces. Homogenised small scale data isused to inform the large scale model and is representedusing Moving Least Squares metamodels calibrated bycross validation. An optimal topography for a minimumcoefficient of friction for the bearing is identified andcomparisons made of local minima in the response,where very different topographies with similar frictionalperformance are observed. Comparisons of the optimaltopography with the smooth surface model demonstratedthe complexity of capturing the non-linear effect of topographyand the necessity of the multiscale method incapturing this. Deviations from the smooth surface modelwere quantified by the metamodel coefficients andshowed how topographies with a similar frictional performancehave very different characteristics.
AU  - de,boer GN
AU  - Gao,L
AU  - Hewson,RW
AU  - Thompson,HM
AU  - Raske,N
AU  - Toropov,VV
DO  - 10.1007/s00158-016-1412-7
EP  - 497
PY  - 2016///
SN  - 1615-1488
SP  - 483
TI  - A multiscale method for optimising surface topography in elastohydrodynamic lubrication (EHL) using metamodels
T2  - Structural and Multidisciplinary Optimization
UR  - http://dx.doi.org/10.1007/s00158-016-1412-7
UR  - http://hdl.handle.net/10044/1/31177
VL  - 54
ER  -
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