Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks
Autor(a) principal: | |
---|---|
Data de Publicação: | 2009 |
Outros Autores: | , , |
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. |
id |
RCAP_a1d9665bdca6c17af54b78011ca3ede1 |
---|---|
oai_identifier_str |
oai:scielo:S0872-19042009000100005 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
|
_version_ |
1799137289906946048 |