PREDICTION OF WATER-BASED PAINT PROPERTIES BASED ON THEIR MINERAL FILLERS: SIMPLEX-PLSR COUPLING APPLICATION

Detalhes bibliográficos
Autor(a) principal: Nunes da Conceição, Paulo Ricardo
Data de Publicação: 2018
Outros Autores: Petter, Carlos Otávio, Hoffmann Sampaio, Carlos
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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spelling 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
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