Directional Multiscale Analysis and Optimization for Surface Textures

Surface texturing has a potential to become a cost effective and easy way to improve the tribological performance of lubricated interfacing surfaces. Effects of surface textures on the performance of machine elements as frictional pairs have been investigated over the past two decades. However, desp...

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Main Authors: Podsiadlo, Pawel, Stachowiak, Gwidon
Format: Journal Article
Published: Springer 2013
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/24462
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author Podsiadlo, Pawel
Stachowiak, Gwidon
author_facet Podsiadlo, Pawel
Stachowiak, Gwidon
author_sort Podsiadlo, Pawel
building Curtin Institutional Repository
collection Online Access
description Surface texturing has a potential to become a cost effective and easy way to improve the tribological performance of lubricated interfacing surfaces. Effects of surface textures on the performance of machine elements as frictional pairs have been investigated over the past two decades. However, despite this research only a limited number of analytical solutions have been proposed as the majority of studies have been experimental and results obtained have not been optimal. This is because the commonly used surface characterization methods are not able to quantify surface textures over a range of scales at different directions and the optimization methods used work only for relatively simple textures and specific constraints imposed on pressure, film thickness, sliding velocity and lubricant rheology. Previous studies have addressed these issues, to some degree, by developing directional fractal signature methods and unified computational approach for texture optimization. In this article, recent advancements in the development of fractal methods and optimization of surface textures are presented.
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spelling curtin-20.500.11937-244622017-09-13T15:08:25Z Directional Multiscale Analysis and Optimization for Surface Textures Podsiadlo, Pawel Stachowiak, Gwidon Textured surfaces Surface characterization Multiscale analysis Surface texturing has a potential to become a cost effective and easy way to improve the tribological performance of lubricated interfacing surfaces. Effects of surface textures on the performance of machine elements as frictional pairs have been investigated over the past two decades. However, despite this research only a limited number of analytical solutions have been proposed as the majority of studies have been experimental and results obtained have not been optimal. This is because the commonly used surface characterization methods are not able to quantify surface textures over a range of scales at different directions and the optimization methods used work only for relatively simple textures and specific constraints imposed on pressure, film thickness, sliding velocity and lubricant rheology. Previous studies have addressed these issues, to some degree, by developing directional fractal signature methods and unified computational approach for texture optimization. In this article, recent advancements in the development of fractal methods and optimization of surface textures are presented. 2013 Journal Article http://hdl.handle.net/20.500.11937/24462 10.1007/s11249-012-0054-1 Springer restricted
spellingShingle Textured surfaces
Surface characterization
Multiscale analysis
Podsiadlo, Pawel
Stachowiak, Gwidon
Directional Multiscale Analysis and Optimization for Surface Textures
title Directional Multiscale Analysis and Optimization for Surface Textures
title_full Directional Multiscale Analysis and Optimization for Surface Textures
title_fullStr Directional Multiscale Analysis and Optimization for Surface Textures
title_full_unstemmed Directional Multiscale Analysis and Optimization for Surface Textures
title_short Directional Multiscale Analysis and Optimization for Surface Textures
title_sort directional multiscale analysis and optimization for surface textures
topic Textured surfaces
Surface characterization
Multiscale analysis
url http://hdl.handle.net/20.500.11937/24462