Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks

Detalhes bibliográficos
Autor(a) principal: Subramanian,K.
Data de Publicação: 2009
Outros Autores: Periasamy,V.M., Pushpavanam,M., Ramasamy,K.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S0872-19042009000100005
Resumo: The aim of this research is to obtain electrodeposits of copper-tin over mild steel substrate. The plating parameters were studied and a model is developed using Artificial Neural Networks (ANN). The electrodeposition of copper-tin was carried out from an alkaline cyanide bath. Copper content of coatings in alloy deposition was determined by using X-ray fluorescence spectroscopy. The results were used to create a model for the plating characteristics and also for studies using ANN. The ANN model is compared with the conventional mathematical regression model for analysis.
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spelling Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networkselectroplatingcopper contentregressionneural networkmodelThe aim of this research is to obtain electrodeposits of copper-tin over mild steel substrate. The plating parameters were studied and a model is developed using Artificial Neural Networks (ANN). The electrodeposition of copper-tin was carried out from an alkaline cyanide bath. Copper content of coatings in alloy deposition was determined by using X-ray fluorescence spectroscopy. The results were used to create a model for the plating characteristics and also for studies using ANN. The ANN model is compared with the conventional mathematical regression model for analysis.Sociedade Portuguesa de Electroquímica2009-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0872-19042009000100005Portugaliae Electrochimica Acta v.27 n.1 2009reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0872-19042009000100005Subramanian,K.Periasamy,V.M.Pushpavanam,M.Ramasamy,K.info:eu-repo/semantics/openAccess2024-02-06T17:06:57Zoai:scielo:S0872-19042009000100005Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:20:05.281997Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks
title Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks
spellingShingle Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks
Subramanian,K.
electroplating
copper content
regression
neural network
model
title_short Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks
title_full Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks
title_fullStr Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks
title_full_unstemmed Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks
title_sort Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks
author Subramanian,K.
author_facet Subramanian,K.
Periasamy,V.M.
Pushpavanam,M.
Ramasamy,K.
author_role author
author2 Periasamy,V.M.
Pushpavanam,M.
Ramasamy,K.
author2_role author
author
author
dc.contributor.author.fl_str_mv Subramanian,K.
Periasamy,V.M.
Pushpavanam,M.
Ramasamy,K.
dc.subject.por.fl_str_mv electroplating
copper content
regression
neural network
model
topic electroplating
copper content
regression
neural network
model
description The aim of this research is to obtain electrodeposits of copper-tin over mild steel substrate. The plating parameters were studied and a model is developed using Artificial Neural Networks (ANN). The electrodeposition of copper-tin was carried out from an alkaline cyanide bath. Copper content of coatings in alloy deposition was determined by using X-ray fluorescence spectroscopy. The results were used to create a model for the plating characteristics and also for studies using ANN. The ANN model is compared with the conventional mathematical regression model for analysis.
publishDate 2009
dc.date.none.fl_str_mv 2009-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S0872-19042009000100005
url http://scielo.pt/scielo.php?script=sci_arttext&pid=S0872-19042009000100005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S0872-19042009000100005
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 Sociedade Portuguesa de Electroquímica
publisher.none.fl_str_mv Sociedade Portuguesa de Electroquímica
dc.source.none.fl_str_mv Portugaliae Electrochimica Acta v.27 n.1 2009
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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