PREDICTION OF WATER-BASED PAINT PROPERTIES BASED ON THEIR MINERAL FILLERS: SIMPLEX-PLSR COUPLING APPLICATION
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Holos |
Texto Completo: | http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/6968 |
Resumo: | The present study shows the optimization of mineral filler blends for use in water-based paints. The aim of the modelling is to evaluate the possibility of creating a model of prediction of the contrast ratio and brightness of the dry film, where the fillers that participate in the system are fillers used commercially by the paint industry. The differential of the use of the mixtures design, called Simplex, is that the predictions are made by carrying out a linear combination between the proportions of the mineral fillers and the response variables. The proposed procedure consists in generating a numerical model that can predict final paint properties depending on the concentrations of the mineral fillers (PCC, GCC and kaolin) used. As support for simplex mixture design, the methods of Partial Least Squares regression and Response Surface were used in the calculations of the models and in the visualization of the response variables. |
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PREDICTION OF WATER-BASED PAINT PROPERTIES BASED ON THEIR MINERAL FILLERS: SIMPLEX-PLSR COUPLING APPLICATIONkaolincarbonatesimplex mixture designbrightnessmineral processingThe present study shows the optimization of mineral filler blends for use in water-based paints. The aim of the modelling is to evaluate the possibility of creating a model of prediction of the contrast ratio and brightness of the dry film, where the fillers that participate in the system are fillers used commercially by the paint industry. The differential of the use of the mixtures design, called Simplex, is that the predictions are made by carrying out a linear combination between the proportions of the mineral fillers and the response variables. The proposed procedure consists in generating a numerical model that can predict final paint properties depending on the concentrations of the mineral fillers (PCC, GCC and kaolin) used. As support for simplex mixture design, the methods of Partial Least Squares regression and Response Surface were used in the calculations of the models and in the visualization of the response variables.Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte2018-06-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/696810.15628/holos.2018.6968HOLOS; v. 2 (2018); 2-151807-1600reponame:Holosinstname:Instituto Federal do Rio Grande do Norte (IFRN)instacron:IFRNenghttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/6968/pdfCopyright (c) 2018 HOLOSinfo:eu-repo/semantics/openAccessNunes da Conceição, Paulo RicardoPetter, Carlos OtávioHoffmann Sampaio, Carlos2022-05-01T19:31:48Zoai:holos.ifrn.edu.br:article/6968Revistahttp://www2.ifrn.edu.br/ojs/index.php/HOLOSPUBhttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/oaiholos@ifrn.edu.br||jyp.leite@ifrn.edu.br||propi@ifrn.edu.br1807-16001518-1634opendoar:2022-05-01T19:31:48Holos - Instituto Federal do Rio Grande do Norte (IFRN)false |
dc.title.none.fl_str_mv |
PREDICTION OF WATER-BASED PAINT PROPERTIES BASED ON THEIR MINERAL FILLERS: SIMPLEX-PLSR COUPLING APPLICATION |
title |
PREDICTION OF WATER-BASED PAINT PROPERTIES BASED ON THEIR MINERAL FILLERS: SIMPLEX-PLSR COUPLING APPLICATION |
spellingShingle |
PREDICTION OF WATER-BASED PAINT PROPERTIES BASED ON THEIR MINERAL FILLERS: SIMPLEX-PLSR COUPLING APPLICATION Nunes da Conceição, Paulo Ricardo kaolin carbonate simplex mixture design brightness mineral processing |
title_short |
PREDICTION OF WATER-BASED PAINT PROPERTIES BASED ON THEIR MINERAL FILLERS: SIMPLEX-PLSR COUPLING APPLICATION |
title_full |
PREDICTION OF WATER-BASED PAINT PROPERTIES BASED ON THEIR MINERAL FILLERS: SIMPLEX-PLSR COUPLING APPLICATION |
title_fullStr |
PREDICTION OF WATER-BASED PAINT PROPERTIES BASED ON THEIR MINERAL FILLERS: SIMPLEX-PLSR COUPLING APPLICATION |
title_full_unstemmed |
PREDICTION OF WATER-BASED PAINT PROPERTIES BASED ON THEIR MINERAL FILLERS: SIMPLEX-PLSR COUPLING APPLICATION |
title_sort |
PREDICTION OF WATER-BASED PAINT PROPERTIES BASED ON THEIR MINERAL FILLERS: SIMPLEX-PLSR COUPLING APPLICATION |
author |
Nunes da Conceição, Paulo Ricardo |
author_facet |
Nunes da Conceição, Paulo Ricardo Petter, Carlos Otávio Hoffmann Sampaio, Carlos |
author_role |
author |
author2 |
Petter, Carlos Otávio Hoffmann Sampaio, Carlos |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Nunes da Conceição, Paulo Ricardo Petter, Carlos Otávio Hoffmann Sampaio, Carlos |
dc.subject.por.fl_str_mv |
kaolin carbonate simplex mixture design brightness mineral processing |
topic |
kaolin carbonate simplex mixture design brightness mineral processing |
description |
The present study shows the optimization of mineral filler blends for use in water-based paints. The aim of the modelling is to evaluate the possibility of creating a model of prediction of the contrast ratio and brightness of the dry film, where the fillers that participate in the system are fillers used commercially by the paint industry. The differential of the use of the mixtures design, called Simplex, is that the predictions are made by carrying out a linear combination between the proportions of the mineral fillers and the response variables. The proposed procedure consists in generating a numerical model that can predict final paint properties depending on the concentrations of the mineral fillers (PCC, GCC and kaolin) used. As support for simplex mixture design, the methods of Partial Least Squares regression and Response Surface were used in the calculations of the models and in the visualization of the response variables. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-06-11 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/6968 10.15628/holos.2018.6968 |
url |
http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/6968 |
identifier_str_mv |
10.15628/holos.2018.6968 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/6968/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 HOLOS info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 HOLOS |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte |
publisher.none.fl_str_mv |
Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte |
dc.source.none.fl_str_mv |
HOLOS; v. 2 (2018); 2-15 1807-1600 reponame:Holos instname:Instituto Federal do Rio Grande do Norte (IFRN) instacron:IFRN |
instname_str |
Instituto Federal do Rio Grande do Norte (IFRN) |
instacron_str |
IFRN |
institution |
IFRN |
reponame_str |
Holos |
collection |
Holos |
repository.name.fl_str_mv |
Holos - Instituto Federal do Rio Grande do Norte (IFRN) |
repository.mail.fl_str_mv |
holos@ifrn.edu.br||jyp.leite@ifrn.edu.br||propi@ifrn.edu.br |
_version_ |
1798951624180236288 |