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Title: An analytical approach for analysis and optimisation of slider bearings with infinite width parallel textures
Authors: Rahmani, Ramin
Mirzaee, Iraj
Shirvani, Ayoub
Shirvani, Hassan
Keywords: Surface texture
Slider bearings
Analytical method
Optimisation
Issue Date: 2010
Publisher: © Elsevier
Citation: RAHMANI, R. ... et al, 2010. An analytical approach for analysis and optimisation of slider bearings with infinite width parallel textures. Tribology International, 43 (8), pp.1551-1565.
Abstract: This paper introduces an analytical approach to study the textured surfaces in hydrodynamic lubrication regime. For this purpose, a method of integrating the Reynolds equation for slider bearings with surface discontinuities is presented. By introducing appropriate dimensionless parameters, analytical relations for various texture profiles in both indented and projected forms are delivered. These relations express the nature of mathematical dependence between textured bearing performance measures and geometrical/operational parameters. An optimisation procedure is employed to achieve the optimum texturing parameters promoting maximum load capacity, load capacity to lubricant flow rate ratio and minimum friction coefficient for asymmetric partially textured slider bearings.
Description: This is the author’s version of a work that was accepted for publication in the journal, Tribology International. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published at: http://dx.doi.org/10.1016/j.triboint.2010.02.016
Version: Accepted for publication
DOI: 10.1016/j.triboint.2010.02.016
URI: https://dspace.lboro.ac.uk/2134/12903
Publisher Link: http://dx.doi.org/10.1016/j.triboint.2010.02.016
ISSN: 0301-679X
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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