Analysis and modeling of simulated residual stress of mold injected plastic parts by using robust correlations
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Matéria (Rio de Janeiro. Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-70762017000400417 |
Resumo: | ABSTRACT The injection molding process is the most widely used processing technique for polymers. The analysis of residual stresses generated during this process is crucial for the part quality assessment. The present study evaluates the residual stresses in a tensile strength specimen using the simulation software Moldex3D for two polymers, polypropylene and polycarbonate. The residual stresses obtained under a simulated design of experiment were modeled using a robust multivariable regression technique. The results shown that residual stresses could be successfully modeled with a quadratic polynomial fit. For both materials, the lowest level of residual stresses was found at the highest mold temperature and the lowest melting temperature. |
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Matéria (Rio de Janeiro. Online) |
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Analysis and modeling of simulated residual stress of mold injected plastic parts by using robust correlationsResidual stressesinjection moldingrobust multivariable regressionsimulationdesign of experimentsABSTRACT The injection molding process is the most widely used processing technique for polymers. The analysis of residual stresses generated during this process is crucial for the part quality assessment. The present study evaluates the residual stresses in a tensile strength specimen using the simulation software Moldex3D for two polymers, polypropylene and polycarbonate. The residual stresses obtained under a simulated design of experiment were modeled using a robust multivariable regression technique. The results shown that residual stresses could be successfully modeled with a quadratic polynomial fit. For both materials, the lowest level of residual stresses was found at the highest mold temperature and the lowest melting temperature.Laboratório de Hidrogênio, Coppe - Universidade Federal do Rio de Janeiroem cooperação com a Associação Brasileira do Hidrogênio, ABH22017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-70762017000400417Matéria (Rio de Janeiro) v.22 n.4 2017reponame:Matéria (Rio de Janeiro. Online)instname:Matéria (Rio de Janeiro. Online)instacron:RLAM10.1590/s1517-707620170004.0228info:eu-repo/semantics/openAccessVargas,CarlosSierra,JuanPosada,JuanBotero-Cadavid,Juan F.eng2017-10-02T00:00:00Zoai:scielo:S1517-70762017000400417Revistahttp://www.materia.coppe.ufrj.br/https://old.scielo.br/oai/scielo-oai.php||materia@labh2.coppe.ufrj.br1517-70761517-7076opendoar:2017-10-02T00:00Matéria (Rio de Janeiro. Online) - Matéria (Rio de Janeiro. Online)false |
dc.title.none.fl_str_mv |
Analysis and modeling of simulated residual stress of mold injected plastic parts by using robust correlations |
title |
Analysis and modeling of simulated residual stress of mold injected plastic parts by using robust correlations |
spellingShingle |
Analysis and modeling of simulated residual stress of mold injected plastic parts by using robust correlations Vargas,Carlos Residual stresses injection molding robust multivariable regression simulation design of experiments |
title_short |
Analysis and modeling of simulated residual stress of mold injected plastic parts by using robust correlations |
title_full |
Analysis and modeling of simulated residual stress of mold injected plastic parts by using robust correlations |
title_fullStr |
Analysis and modeling of simulated residual stress of mold injected plastic parts by using robust correlations |
title_full_unstemmed |
Analysis and modeling of simulated residual stress of mold injected plastic parts by using robust correlations |
title_sort |
Analysis and modeling of simulated residual stress of mold injected plastic parts by using robust correlations |
author |
Vargas,Carlos |
author_facet |
Vargas,Carlos Sierra,Juan Posada,Juan Botero-Cadavid,Juan F. |
author_role |
author |
author2 |
Sierra,Juan Posada,Juan Botero-Cadavid,Juan F. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Vargas,Carlos Sierra,Juan Posada,Juan Botero-Cadavid,Juan F. |
dc.subject.por.fl_str_mv |
Residual stresses injection molding robust multivariable regression simulation design of experiments |
topic |
Residual stresses injection molding robust multivariable regression simulation design of experiments |
description |
ABSTRACT The injection molding process is the most widely used processing technique for polymers. The analysis of residual stresses generated during this process is crucial for the part quality assessment. The present study evaluates the residual stresses in a tensile strength specimen using the simulation software Moldex3D for two polymers, polypropylene and polycarbonate. The residual stresses obtained under a simulated design of experiment were modeled using a robust multivariable regression technique. The results shown that residual stresses could be successfully modeled with a quadratic polynomial fit. For both materials, the lowest level of residual stresses was found at the highest mold temperature and the lowest melting temperature. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 |
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=S1517-70762017000400417 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-70762017000400417 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/s1517-707620170004.0228 |
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 |
Laboratório de Hidrogênio, Coppe - Universidade Federal do Rio de Janeiro em cooperação com a Associação Brasileira do Hidrogênio, ABH2 |
publisher.none.fl_str_mv |
Laboratório de Hidrogênio, Coppe - Universidade Federal do Rio de Janeiro em cooperação com a Associação Brasileira do Hidrogênio, ABH2 |
dc.source.none.fl_str_mv |
Matéria (Rio de Janeiro) v.22 n.4 2017 reponame:Matéria (Rio de Janeiro. Online) instname:Matéria (Rio de Janeiro. Online) instacron:RLAM |
instname_str |
Matéria (Rio de Janeiro. Online) |
instacron_str |
RLAM |
institution |
RLAM |
reponame_str |
Matéria (Rio de Janeiro. Online) |
collection |
Matéria (Rio de Janeiro. Online) |
repository.name.fl_str_mv |
Matéria (Rio de Janeiro. Online) - Matéria (Rio de Janeiro. Online) |
repository.mail.fl_str_mv |
||materia@labh2.coppe.ufrj.br |
_version_ |
1752126689856454656 |