Evaluation of the effect of dry-film biocides on paint film preservation using neural networks
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , |
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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Brazilian Journal of Chemical Engineering |
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|
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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 |
_version_ |
1754213173161885696 |