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Determination of an Objective Criterion for the Assessment of the Feasibility of an Instrumented Indentation Test on Rough Surfaces
The influence of roughness on the results of indentation testing was investigated using a semianalytical model. This model used simulated surfaces that were described using three standard roughness parameters: the root-mean-square deviation S(q), the wavelength (or cut-off of Gaussian high-pass filt...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178069/ https://www.ncbi.nlm.nih.gov/pubmed/32235635 http://dx.doi.org/10.3390/ma13071589 |
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author | Marteau, Julie Jourani, Abdeljalil Bigerelle, Maxence |
author_facet | Marteau, Julie Jourani, Abdeljalil Bigerelle, Maxence |
author_sort | Marteau, Julie |
collection | PubMed |
description | The influence of roughness on the results of indentation testing was investigated using a semianalytical model. This model used simulated surfaces that were described using three standard roughness parameters: the root-mean-square deviation S(q), the wavelength (or cut-off of Gaussian high-pass filter), and the fractal dimension. It was shown that S(q) had the largest effect on the determination of the macrohardness, while the surface wavelength and fractal dimension had negligible effects at the scale of investigation. The error of determination of the macrohardness rose with the increase of the ratio S(q)/h(max) where h(max) was the maximum indentation depth: S(q)/h(max) ratios lower than 0.02 were required to obtain a systematic error of the macrohardness lower than 5%, whatever the examined material mechanical properties (in elasticity and plasticity). |
format | Online Article Text |
id | pubmed-7178069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71780692020-04-28 Determination of an Objective Criterion for the Assessment of the Feasibility of an Instrumented Indentation Test on Rough Surfaces Marteau, Julie Jourani, Abdeljalil Bigerelle, Maxence Materials (Basel) Article The influence of roughness on the results of indentation testing was investigated using a semianalytical model. This model used simulated surfaces that were described using three standard roughness parameters: the root-mean-square deviation S(q), the wavelength (or cut-off of Gaussian high-pass filter), and the fractal dimension. It was shown that S(q) had the largest effect on the determination of the macrohardness, while the surface wavelength and fractal dimension had negligible effects at the scale of investigation. The error of determination of the macrohardness rose with the increase of the ratio S(q)/h(max) where h(max) was the maximum indentation depth: S(q)/h(max) ratios lower than 0.02 were required to obtain a systematic error of the macrohardness lower than 5%, whatever the examined material mechanical properties (in elasticity and plasticity). MDPI 2020-03-30 /pmc/articles/PMC7178069/ /pubmed/32235635 http://dx.doi.org/10.3390/ma13071589 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Marteau, Julie Jourani, Abdeljalil Bigerelle, Maxence Determination of an Objective Criterion for the Assessment of the Feasibility of an Instrumented Indentation Test on Rough Surfaces |
title | Determination of an Objective Criterion for the Assessment of the Feasibility of an Instrumented Indentation Test on Rough Surfaces |
title_full | Determination of an Objective Criterion for the Assessment of the Feasibility of an Instrumented Indentation Test on Rough Surfaces |
title_fullStr | Determination of an Objective Criterion for the Assessment of the Feasibility of an Instrumented Indentation Test on Rough Surfaces |
title_full_unstemmed | Determination of an Objective Criterion for the Assessment of the Feasibility of an Instrumented Indentation Test on Rough Surfaces |
title_short | Determination of an Objective Criterion for the Assessment of the Feasibility of an Instrumented Indentation Test on Rough Surfaces |
title_sort | determination of an objective criterion for the assessment of the feasibility of an instrumented indentation test on rough surfaces |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178069/ https://www.ncbi.nlm.nih.gov/pubmed/32235635 http://dx.doi.org/10.3390/ma13071589 |
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