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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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.
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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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