Influences of the mesh in the CAE simulation for plastic injection molding
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Polímeros (São Carlos. Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-14282019000300412 |
Resumo: | Abstract Although computer-aided engineering (CAE) software has been used for many years in the plastic industry, identifying the most appropriate mesh geometry and density remains a challenge. It can affect the accuracy of the simulation, the time and the costs. The evaluation of the most suitable mesh is not easy because the difficulties to obtain the real the values of the pressure and temperature inside the mold. The current work investigates this issue. A mold was manufactured and sensors were installed in its interior. CAE simulations using different mesh geometries and densities were evaluated against the experimental data. The results showed that the computational time was mostly influenced by the mesh geometry. The use of 2D mesh and lower density can lead to a faster and more precise simulation of pressure inside the mold and 3D mesh with lower density can provide a faster and precise simulation of the temperature. |
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Influences of the mesh in the CAE simulation for plastic injection moldingCAE simulation precisionpressure monitoringplastic molding processsensorAbstract Although computer-aided engineering (CAE) software has been used for many years in the plastic industry, identifying the most appropriate mesh geometry and density remains a challenge. It can affect the accuracy of the simulation, the time and the costs. The evaluation of the most suitable mesh is not easy because the difficulties to obtain the real the values of the pressure and temperature inside the mold. The current work investigates this issue. A mold was manufactured and sensors were installed in its interior. CAE simulations using different mesh geometries and densities were evaluated against the experimental data. The results showed that the computational time was mostly influenced by the mesh geometry. The use of 2D mesh and lower density can lead to a faster and more precise simulation of pressure inside the mold and 3D mesh with lower density can provide a faster and precise simulation of the temperature.Associação Brasileira de Polímeros2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-14282019000300412Polímeros v.29 n.3 2019reponame:Polímeros (São Carlos. Online)instname:Associação Brasileira de Polímeros (ABPol)instacron:ABPO10.1590/0104-1428.05019info:eu-repo/semantics/openAccessMarin,FelipeSouza,Adriano Fagali dePabst,Rodolfo GabrielAhrens,Carlos Henriqueeng2019-10-30T00:00:00Zoai:scielo:S0104-14282019000300412Revistahttp://www.scielo.br/pohttps://old.scielo.br/oai/scielo-oai.php||revista@abpol.org.br1678-51690104-1428opendoar:2019-10-30T00:00Polímeros (São Carlos. Online) - Associação Brasileira de Polímeros (ABPol)false |
dc.title.none.fl_str_mv |
Influences of the mesh in the CAE simulation for plastic injection molding |
title |
Influences of the mesh in the CAE simulation for plastic injection molding |
spellingShingle |
Influences of the mesh in the CAE simulation for plastic injection molding Marin,Felipe CAE simulation precision pressure monitoring plastic molding process sensor |
title_short |
Influences of the mesh in the CAE simulation for plastic injection molding |
title_full |
Influences of the mesh in the CAE simulation for plastic injection molding |
title_fullStr |
Influences of the mesh in the CAE simulation for plastic injection molding |
title_full_unstemmed |
Influences of the mesh in the CAE simulation for plastic injection molding |
title_sort |
Influences of the mesh in the CAE simulation for plastic injection molding |
author |
Marin,Felipe |
author_facet |
Marin,Felipe Souza,Adriano Fagali de Pabst,Rodolfo Gabriel Ahrens,Carlos Henrique |
author_role |
author |
author2 |
Souza,Adriano Fagali de Pabst,Rodolfo Gabriel Ahrens,Carlos Henrique |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Marin,Felipe Souza,Adriano Fagali de Pabst,Rodolfo Gabriel Ahrens,Carlos Henrique |
dc.subject.por.fl_str_mv |
CAE simulation precision pressure monitoring plastic molding process sensor |
topic |
CAE simulation precision pressure monitoring plastic molding process sensor |
description |
Abstract Although computer-aided engineering (CAE) software has been used for many years in the plastic industry, identifying the most appropriate mesh geometry and density remains a challenge. It can affect the accuracy of the simulation, the time and the costs. The evaluation of the most suitable mesh is not easy because the difficulties to obtain the real the values of the pressure and temperature inside the mold. The current work investigates this issue. A mold was manufactured and sensors were installed in its interior. CAE simulations using different mesh geometries and densities were evaluated against the experimental data. The results showed that the computational time was mostly influenced by the mesh geometry. The use of 2D mesh and lower density can lead to a faster and more precise simulation of pressure inside the mold and 3D mesh with lower density can provide a faster and precise simulation of the temperature. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
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=S0104-14282019000300412 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-14282019000300412 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0104-1428.05019 |
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 |
Associação Brasileira de Polímeros |
publisher.none.fl_str_mv |
Associação Brasileira de Polímeros |
dc.source.none.fl_str_mv |
Polímeros v.29 n.3 2019 reponame:Polímeros (São Carlos. Online) instname:Associação Brasileira de Polímeros (ABPol) instacron:ABPO |
instname_str |
Associação Brasileira de Polímeros (ABPol) |
instacron_str |
ABPO |
institution |
ABPO |
reponame_str |
Polímeros (São Carlos. Online) |
collection |
Polímeros (São Carlos. Online) |
repository.name.fl_str_mv |
Polímeros (São Carlos. Online) - Associação Brasileira de Polímeros (ABPol) |
repository.mail.fl_str_mv |
||revista@abpol.org.br |
_version_ |
1754212590911750144 |