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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| Format: | Journal Article |
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Japansese Society of Tribologists
2010
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/41420 |
| _version_ | 1848756141204439040 |
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| author | Guzek, Agata Podsiadlo, Pawel Stachowiak, Gwidon |
| author_facet | Guzek, Agata Podsiadlo, Pawel Stachowiak, Gwidon |
| author_sort | Guzek, Agata |
| building | Curtin Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T09:07:29Z |
| format | Journal Article |
| id | curtin-20.500.11937-41420 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:07:29Z |
| publishDate | 2010 |
| publisher | Japansese Society of Tribologists |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-414202017-09-13T14:14:27Z A Unified Computational Approach to the Optimization of Surface Textures: One Dimensional Hydrodynamic Bearings Guzek, Agata Podsiadlo, Pawel Stachowiak, Gwidon shape optimization hydrodynamic bearings surface texture geometric shapes 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. 2010 Journal Article http://hdl.handle.net/20.500.11937/41420 10.2474/trol.5.150 Japansese Society of Tribologists restricted |
| spellingShingle | shape optimization hydrodynamic bearings surface texture geometric shapes Guzek, Agata Podsiadlo, Pawel Stachowiak, Gwidon A Unified Computational Approach to the Optimization of Surface Textures: One Dimensional Hydrodynamic Bearings |
| title | 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_short | 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 |
| topic | shape optimization hydrodynamic bearings surface texture geometric shapes |
| url | http://hdl.handle.net/20.500.11937/41420 |