Characterizing fretting particles by analysis of SEM images

Detailed surface characteristics of the particles produced during fretting may well be significant in determining their biological effects. Apart from a broad size determination very few attempts have been made at devising means of describing profile textures of particles. An approach is presented f...

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Main Authors: ap Gwynn I., Wilson C.
Format: Article
Language:English
Published: AO Research Institute Davos 2001-01-01
Series:European Cells & Materials
Online Access:http://www.ecmjournal.org/journal/papers/vol001/vol001a01.php
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spelling doaj-bb84891d8937486a8e0cd03e448d24472020-11-24T21:39:13Zeng AO Research Institute DavosEuropean Cells & Materials1473-22622001-01-011111Characterizing fretting particles by analysis of SEM images ap Gwynn I.Wilson C.Detailed surface characteristics of the particles produced during fretting may well be significant in determining their biological effects. Apart from a broad size determination very few attempts have been made at devising means of describing profile textures of particles. An approach is presented for describing the nature of particle shape and surface texture, as detected on the particle profile. Careful processing and analysis of the digitised image enabled both the sizes of micro-projections and their relative numbers to be determined. Such processing of images of a large number of particles generated a considerable amount of data. An artificial neural network was used to categorise the data and to compare the nature of fretting particles generated by titanium, titanium-molybdenum and stainless steel. Although showing a tendency towards a spherical form, all three metals produced different results, with titanium showing the greatest diversity of textures and sizes, steel the least.http://www.ecmjournal.org/journal/papers/vol001/vol001a01.php
collection DOAJ
language English
format Article
sources DOAJ
author ap Gwynn I.
Wilson C.
spellingShingle ap Gwynn I.
Wilson C.
Characterizing fretting particles by analysis of SEM images
European Cells & Materials
author_facet ap Gwynn I.
Wilson C.
author_sort ap Gwynn I.
title Characterizing fretting particles by analysis of SEM images
title_short Characterizing fretting particles by analysis of SEM images
title_full Characterizing fretting particles by analysis of SEM images
title_fullStr Characterizing fretting particles by analysis of SEM images
title_full_unstemmed Characterizing fretting particles by analysis of SEM images
title_sort characterizing fretting particles by analysis of sem images
publisher AO Research Institute Davos
series European Cells & Materials
issn 1473-2262
publishDate 2001-01-01
description Detailed surface characteristics of the particles produced during fretting may well be significant in determining their biological effects. Apart from a broad size determination very few attempts have been made at devising means of describing profile textures of particles. An approach is presented for describing the nature of particle shape and surface texture, as detected on the particle profile. Careful processing and analysis of the digitised image enabled both the sizes of micro-projections and their relative numbers to be determined. Such processing of images of a large number of particles generated a considerable amount of data. An artificial neural network was used to categorise the data and to compare the nature of fretting particles generated by titanium, titanium-molybdenum and stainless steel. Although showing a tendency towards a spherical form, all three metals produced different results, with titanium showing the greatest diversity of textures and sizes, steel the least.
url http://www.ecmjournal.org/journal/papers/vol001/vol001a01.php
work_keys_str_mv AT apgwynni characterizingfrettingparticlesbyanalysisofsemimages
AT wilsonc characterizingfrettingparticlesbyanalysisofsemimages
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