Evaluation of the effect of dry-film biocides on paint film preservation using neural networks

Detalhes bibliográficos
Autor(a) principal: Contant,S.
Data de Publicação: 2010
Outros Autores: Caritá Júnior,G., Machado,P. F. M. P. B., Lona,L. M. F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Chemical Engineering
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000400016
Resumo: Biocides play an important role in the preservation of a variety of products susceptible to microbiological growth such as paint, a material that can undergo microbial deterioration both in storing (inside the can) and after the application on a surface. In this work, artificial neural networks were used to predict the level of fungal growth on surfaces painted with water-based paints with biocide formulations containing different concentrations of ten kinds of commercial and experimental chemical agents. The use of neural networks is well known in chemical processes and they are a powerful tool for discovering relationships between sets of data. Industrial Environmental Tropical Chamber tests were used as the network training set. The importance of the each additive of the dry-film biocide formulation in prevention of biodeterioration was also examined.
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spelling Evaluation of the effect of dry-film biocides on paint film preservation using neural networksNeural networksBiocidePaint filmFungal growthBiocides play an important role in the preservation of a variety of products susceptible to microbiological growth such as paint, a material that can undergo microbial deterioration both in storing (inside the can) and after the application on a surface. In this work, artificial neural networks were used to predict the level of fungal growth on surfaces painted with water-based paints with biocide formulations containing different concentrations of ten kinds of commercial and experimental chemical agents. The use of neural networks is well known in chemical processes and they are a powerful tool for discovering relationships between sets of data. Industrial Environmental Tropical Chamber tests were used as the network training set. The importance of the each additive of the dry-film biocide formulation in prevention of biodeterioration was also examined.Brazilian Society of Chemical Engineering2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000400016Brazilian Journal of Chemical Engineering v.27 n.4 2010reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/S0104-66322010000400016info:eu-repo/semantics/openAccessContant,S.Caritá Júnior,G.Machado,P. F. M. P. B.Lona,L. M. F.eng2011-01-04T00:00:00Zoai:scielo:S0104-66322010000400016Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:2011-01-04T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false
dc.title.none.fl_str_mv Evaluation of the effect of dry-film biocides on paint film preservation using neural networks
title Evaluation of the effect of dry-film biocides on paint film preservation using neural networks
spellingShingle Evaluation of the effect of dry-film biocides on paint film preservation using neural networks
Contant,S.
Neural networks
Biocide
Paint film
Fungal growth
title_short Evaluation of the effect of dry-film biocides on paint film preservation using neural networks
title_full Evaluation of the effect of dry-film biocides on paint film preservation using neural networks
title_fullStr Evaluation of the effect of dry-film biocides on paint film preservation using neural networks
title_full_unstemmed Evaluation of the effect of dry-film biocides on paint film preservation using neural networks
title_sort Evaluation of the effect of dry-film biocides on paint film preservation using neural networks
author Contant,S.
author_facet Contant,S.
Caritá Júnior,G.
Machado,P. F. M. P. B.
Lona,L. M. F.
author_role author
author2 Caritá Júnior,G.
Machado,P. F. M. P. B.
Lona,L. M. F.
author2_role author
author
author
dc.contributor.author.fl_str_mv Contant,S.
Caritá Júnior,G.
Machado,P. F. M. P. B.
Lona,L. M. F.
dc.subject.por.fl_str_mv Neural networks
Biocide
Paint film
Fungal growth
topic Neural networks
Biocide
Paint film
Fungal growth
description Biocides play an important role in the preservation of a variety of products susceptible to microbiological growth such as paint, a material that can undergo microbial deterioration both in storing (inside the can) and after the application on a surface. In this work, artificial neural networks were used to predict the level of fungal growth on surfaces painted with water-based paints with biocide formulations containing different concentrations of ten kinds of commercial and experimental chemical agents. The use of neural networks is well known in chemical processes and they are a powerful tool for discovering relationships between sets of data. Industrial Environmental Tropical Chamber tests were used as the network training set. The importance of the each additive of the dry-film biocide formulation in prevention of biodeterioration was also examined.
publishDate 2010
dc.date.none.fl_str_mv 2010-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000400016
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000400016
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0104-66322010000400016
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Brazilian Society of Chemical Engineering
publisher.none.fl_str_mv Brazilian Society of Chemical Engineering
dc.source.none.fl_str_mv Brazilian Journal of Chemical Engineering v.27 n.4 2010
reponame:Brazilian Journal of Chemical Engineering
instname:Associação Brasileira de Engenharia Química (ABEQ)
instacron:ABEQ
instname_str Associação Brasileira de Engenharia Química (ABEQ)
instacron_str ABEQ
institution ABEQ
reponame_str Brazilian Journal of Chemical Engineering
collection Brazilian Journal of Chemical Engineering
repository.name.fl_str_mv Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)
repository.mail.fl_str_mv rgiudici@usp.br||rgiudici@usp.br
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