Tutorial for mixture-process experiments with an industrial application

Detalhes bibliográficos
Autor(a) principal: Bello,Luiz Henrique Abreu Dal
Data de Publicação: 2011
Outros Autores: Vieira,Antonio Fernando de Castro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000300008
Resumo: This article presents a tutorial on mixture-process experiments and a case study of a chemical compound used in the delay mechanism for starting a rocket engine. The compound consists in a three-component mixture. Besides the mixture components, two process variables are considered. For the model selection, the use of an information criterion showed to be efficient in the case under study. A linear regression model was fitted. Through the developed model, the optimal proportions of the mixture components and the levels of the process variables were determined.
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spelling Tutorial for mixture-process experiments with an industrial applicationmixture experimentsprocess variablelinear regressioninformation criterionoptimizationThis article presents a tutorial on mixture-process experiments and a case study of a chemical compound used in the delay mechanism for starting a rocket engine. The compound consists in a three-component mixture. Besides the mixture components, two process variables are considered. For the model selection, the use of an information criterion showed to be efficient in the case under study. A linear regression model was fitted. Through the developed model, the optimal proportions of the mixture components and the levels of the process variables were determined.Sociedade Brasileira de Pesquisa Operacional2011-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000300008Pesquisa Operacional v.31 n.3 2011reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382011000300008info:eu-repo/semantics/openAccessBello,Luiz Henrique Abreu DalVieira,Antonio Fernando de Castroeng2011-11-03T00:00:00Zoai:scielo:S0101-74382011000300008Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2011-11-03T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv Tutorial for mixture-process experiments with an industrial application
title Tutorial for mixture-process experiments with an industrial application
spellingShingle Tutorial for mixture-process experiments with an industrial application
Bello,Luiz Henrique Abreu Dal
mixture experiments
process variable
linear regression
information criterion
optimization
title_short Tutorial for mixture-process experiments with an industrial application
title_full Tutorial for mixture-process experiments with an industrial application
title_fullStr Tutorial for mixture-process experiments with an industrial application
title_full_unstemmed Tutorial for mixture-process experiments with an industrial application
title_sort Tutorial for mixture-process experiments with an industrial application
author Bello,Luiz Henrique Abreu Dal
author_facet Bello,Luiz Henrique Abreu Dal
Vieira,Antonio Fernando de Castro
author_role author
author2 Vieira,Antonio Fernando de Castro
author2_role author
dc.contributor.author.fl_str_mv Bello,Luiz Henrique Abreu Dal
Vieira,Antonio Fernando de Castro
dc.subject.por.fl_str_mv mixture experiments
process variable
linear regression
information criterion
optimization
topic mixture experiments
process variable
linear regression
information criterion
optimization
description This article presents a tutorial on mixture-process experiments and a case study of a chemical compound used in the delay mechanism for starting a rocket engine. The compound consists in a three-component mixture. Besides the mixture components, two process variables are considered. For the model selection, the use of an information criterion showed to be efficient in the case under study. A linear regression model was fitted. Through the developed model, the optimal proportions of the mixture components and the levels of the process variables were determined.
publishDate 2011
dc.date.none.fl_str_mv 2011-12-01
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=S0101-74382011000300008
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000300008
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382011000300008
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 Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.31 n.3 2011
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
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