A Unified Computational Approach to the Optimization of Surface Textures:One Dimensional Hydrodynamic Bearings

In tribological applications, surface textures are used to increase load capacity and reduce friction losses in hydrodynamic lubricated contacts. However, there is no systematic, efficient and general approach allowing for the optimization of surface texture shapes to give an optimal performance. Th...

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Autores principales:	Agata Guzek, Pawel Podsiadlo, Gwidon W. Stachowiak
Formato:	article
Lenguaje:	EN
Publicado:	Japanese Society of Tribologists 2010
Materias:	hydrodynamic bearings surface texture geometric shapes shape optimization Physics QC1-999 Engineering (General). Civil engineering (General) TA1-2040 Mechanical engineering and machinery TJ1-1570 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/81b3de91900344b5bc700a46e5caf729
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id	oai:doaj.org-article:81b3de91900344b5bc700a46e5caf729
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spelling	oai:doaj.org-article:81b3de91900344b5bc700a46e5caf7292021-11-05T09:27:04ZA Unified Computational Approach to the Optimization of Surface Textures:One Dimensional Hydrodynamic Bearings1881-219810.2474/trol.5.150https://doaj.org/article/81b3de91900344b5bc700a46e5caf7292010-07-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/trol/5/3/5_3_150/_pdf/-char/enhttps://doaj.org/toc/1881-2198In tribological applications, surface textures are used to increase load capacity and reduce friction losses in hydrodynamic lubricated contacts. However, there is no systematic, efficient and general approach allowing for the optimization of surface texture shapes to give an optimal performance. The work conducted is, in most cases, by “trial and error”, i.e. changes are introduced and their effects studied. This is time consuming and inefficient. In this paper, a unified computational approach to the optimization of texture shapes in bearings is proposed. The approach aims at finding the optimal texture shape that supports the maximum load and/or minimizes friction losses in one dimensional hydrodynamic bearings. The texture shape optimization problem is transformed into a nonlinearly constrained mathematical programming problem with general constraints that can be solved using optimal control software. Load-carrying capacity or friction force of a bearing becomes an objective functional that is maximized or minimized, subject to: (i) any Reynolds equations given by first order ordinary differential equations, (ii) pressure boundary conditions and (iii) functions/parameters that define the surface texture shape. This newly developed approach is demonstrated on examples of parallel textured hydrodynamic bearings. The effects of non-Newtonian fluids, cavitation and viscosity varying with temperature are considered.Agata GuzekPawel PodsiadloGwidon W. StachowiakJapanese Society of Tribologistsarticlehydrodynamic bearingssurface texturegeometric shapesshape optimizationPhysicsQC1-999Engineering (General). Civil engineering (General)TA1-2040Mechanical engineering and machineryTJ1-1570ChemistryQD1-999ENTribology Online, Vol 5, Iss 3, Pp 150-160 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	hydrodynamic bearings surface texture geometric shapes shape optimization Physics QC1-999 Engineering (General). Civil engineering (General) TA1-2040 Mechanical engineering and machinery TJ1-1570 Chemistry QD1-999
spellingShingle	hydrodynamic bearings surface texture geometric shapes shape optimization Physics QC1-999 Engineering (General). Civil engineering (General) TA1-2040 Mechanical engineering and machinery TJ1-1570 Chemistry QD1-999 Agata Guzek Pawel Podsiadlo Gwidon W. Stachowiak A Unified Computational Approach to the Optimization of Surface Textures:One Dimensional Hydrodynamic Bearings
description	In tribological applications, surface textures are used to increase load capacity and reduce friction losses in hydrodynamic lubricated contacts. However, there is no systematic, efficient and general approach allowing for the optimization of surface texture shapes to give an optimal performance. The work conducted is, in most cases, by “trial and error”, i.e. changes are introduced and their effects studied. This is time consuming and inefficient. In this paper, a unified computational approach to the optimization of texture shapes in bearings is proposed. The approach aims at finding the optimal texture shape that supports the maximum load and/or minimizes friction losses in one dimensional hydrodynamic bearings. The texture shape optimization problem is transformed into a nonlinearly constrained mathematical programming problem with general constraints that can be solved using optimal control software. Load-carrying capacity or friction force of a bearing becomes an objective functional that is maximized or minimized, subject to: (i) any Reynolds equations given by first order ordinary differential equations, (ii) pressure boundary conditions and (iii) functions/parameters that define the surface texture shape. This newly developed approach is demonstrated on examples of parallel textured hydrodynamic bearings. The effects of non-Newtonian fluids, cavitation and viscosity varying with temperature are considered.
format	article
author	Agata Guzek Pawel Podsiadlo Gwidon W. Stachowiak
author_facet	Agata Guzek Pawel Podsiadlo Gwidon W. Stachowiak
author_sort	Agata Guzek
title	A Unified Computational Approach to the Optimization of Surface Textures:One Dimensional Hydrodynamic Bearings
title_short	A Unified Computational Approach to the Optimization of Surface Textures:One Dimensional Hydrodynamic Bearings
title_full	A Unified Computational Approach to the Optimization of Surface Textures:One Dimensional Hydrodynamic Bearings
title_fullStr	A Unified Computational Approach to the Optimization of Surface Textures:One Dimensional Hydrodynamic Bearings
title_full_unstemmed	A Unified Computational Approach to the Optimization of Surface Textures:One Dimensional Hydrodynamic Bearings
title_sort	unified computational approach to the optimization of surface textures:one dimensional hydrodynamic bearings
publisher	Japanese Society of Tribologists
publishDate	2010
url	https://doaj.org/article/81b3de91900344b5bc700a46e5caf729
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A Unified Computational Approach to the Optimization of Surface Textures:One Dimensional Hydrodynamic Bearings

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