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Method for evaluating roughness and valley areas coefficients of surfaces acquired by laser scanner
The quantitative determination of average roughness parameters, from the determination of height variations of the surface points, is frequently used to estimate the adhesion between an adhesive and the surface of a substrate. However, to determine the interaction between an adhesive and a surface o...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795460/ https://www.ncbi.nlm.nih.gov/pubmed/35087044 http://dx.doi.org/10.1038/s41598-022-04847-2 |
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author | Tonietto, Leandro Arnold, Daiana Cristina Metz de Oliveira, Valéria Costa Menegotto, Camila Werner Grondona, Atilio Efrain Bica Costa, Cristiano André da Veronez, Mauricio Roberto de Souza Kazmierczak, Claudio Gonzaga, Luiz |
author_facet | Tonietto, Leandro Arnold, Daiana Cristina Metz de Oliveira, Valéria Costa Menegotto, Camila Werner Grondona, Atilio Efrain Bica Costa, Cristiano André da Veronez, Mauricio Roberto de Souza Kazmierczak, Claudio Gonzaga, Luiz |
author_sort | Tonietto, Leandro |
collection | PubMed |
description | The quantitative determination of average roughness parameters, from the determination of height variations of the surface points, is frequently used to estimate the adhesion between an adhesive and the surface of a substrate. However, to determine the interaction between an adhesive and a surface of a heterogeneous material, such as a red ceramic, it is essential to define other roughness parameters. This work proposes a method for determining the roughness of red ceramic blocks from a three-dimensional evaluation, with the objective of estimating the contact area that the ceramic substrate can provide for a cementitious matrix. The study determines the average surface roughness from multiple planes and proposes the adoption of 2 more roughness parameters, the valley area index and the average valley area. The results demonstrate that there are advantages in using the proposed multiple plane method for roughness computation and that the valley area parameters are efficient to estimate the extent of adhesion between the materials involved. |
format | Online Article Text |
id | pubmed-8795460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87954602022-01-28 Method for evaluating roughness and valley areas coefficients of surfaces acquired by laser scanner Tonietto, Leandro Arnold, Daiana Cristina Metz de Oliveira, Valéria Costa Menegotto, Camila Werner Grondona, Atilio Efrain Bica Costa, Cristiano André da Veronez, Mauricio Roberto de Souza Kazmierczak, Claudio Gonzaga, Luiz Sci Rep Article The quantitative determination of average roughness parameters, from the determination of height variations of the surface points, is frequently used to estimate the adhesion between an adhesive and the surface of a substrate. However, to determine the interaction between an adhesive and a surface of a heterogeneous material, such as a red ceramic, it is essential to define other roughness parameters. This work proposes a method for determining the roughness of red ceramic blocks from a three-dimensional evaluation, with the objective of estimating the contact area that the ceramic substrate can provide for a cementitious matrix. The study determines the average surface roughness from multiple planes and proposes the adoption of 2 more roughness parameters, the valley area index and the average valley area. The results demonstrate that there are advantages in using the proposed multiple plane method for roughness computation and that the valley area parameters are efficient to estimate the extent of adhesion between the materials involved. Nature Publishing Group UK 2022-01-27 /pmc/articles/PMC8795460/ /pubmed/35087044 http://dx.doi.org/10.1038/s41598-022-04847-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tonietto, Leandro Arnold, Daiana Cristina Metz de Oliveira, Valéria Costa Menegotto, Camila Werner Grondona, Atilio Efrain Bica Costa, Cristiano André da Veronez, Mauricio Roberto de Souza Kazmierczak, Claudio Gonzaga, Luiz Method for evaluating roughness and valley areas coefficients of surfaces acquired by laser scanner |
title | Method for evaluating roughness and valley areas coefficients of surfaces acquired by laser scanner |
title_full | Method for evaluating roughness and valley areas coefficients of surfaces acquired by laser scanner |
title_fullStr | Method for evaluating roughness and valley areas coefficients of surfaces acquired by laser scanner |
title_full_unstemmed | Method for evaluating roughness and valley areas coefficients of surfaces acquired by laser scanner |
title_short | Method for evaluating roughness and valley areas coefficients of surfaces acquired by laser scanner |
title_sort | method for evaluating roughness and valley areas coefficients of surfaces acquired by laser scanner |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795460/ https://www.ncbi.nlm.nih.gov/pubmed/35087044 http://dx.doi.org/10.1038/s41598-022-04847-2 |
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