Effect of surface roughness and lubrication on the friction coefficient in deep drawing processes of aluminum alloy aa1100 with fem analysis 1
Autor(a) principal: | |
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Data de Publicação: | 2019 |
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=S1517-70762019000100326 |
Resumo: | ABSTRACT Friction between the interface workpiece and tooling has considerable importance in sheet metal forming operations; an accurate description of the friction is necessary to analyze and design new workpieces and tooling. This work suggests a methodology to determine and evaluate the mean coefficient of friction (COF) using the Finite Element Method (FEM) through Dynaform for the aluminum alloy AA1100. The results indicate that this methodology is consistent with reality. It is also observed that the software tends to diverge from the measured results because the software considers the COF to be constant along the process. Despite this trend, the greatest distance between the maximum drawing force given by the measurement and the numeric simulation was not high: it was approximately 6%. Workpiece strain measurements were collected to compare with the numerical simulation results, and it was observed that they are generally in agreement. |
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Matéria (Rio de Janeiro. Online) |
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Effect of surface roughness and lubrication on the friction coefficient in deep drawing processes of aluminum alloy aa1100 with fem analysis 1coefficient of frictionSwift cup testFE analysisdeep drawing processPart DesignABSTRACT Friction between the interface workpiece and tooling has considerable importance in sheet metal forming operations; an accurate description of the friction is necessary to analyze and design new workpieces and tooling. This work suggests a methodology to determine and evaluate the mean coefficient of friction (COF) using the Finite Element Method (FEM) through Dynaform for the aluminum alloy AA1100. The results indicate that this methodology is consistent with reality. It is also observed that the software tends to diverge from the measured results because the software considers the COF to be constant along the process. Despite this trend, the greatest distance between the maximum drawing force given by the measurement and the numeric simulation was not high: it was approximately 6%. Workpiece strain measurements were collected to compare with the numerical simulation results, and it was observed that they are generally in agreement.Laboratório de Hidrogênio, Coppe - Universidade Federal do Rio de Janeiroem cooperação com a Associação Brasileira do Hidrogênio, ABH22019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-70762019000100326Matéria (Rio de Janeiro) v.24 n.1 2019reponame:Matéria (Rio de Janeiro. Online)instname:Matéria (Rio de Janeiro. Online)instacron:RLAM10.1590/s1517-707620190001.0635info:eu-repo/semantics/openAccessFolle,Luis FernandoSchaeffer,Lirioeng2021-04-20T00:00:00Zoai:scielo:S1517-70762019000100326Revistahttp://www.materia.coppe.ufrj.br/https://old.scielo.br/oai/scielo-oai.php||materia@labh2.coppe.ufrj.br1517-70761517-7076opendoar:2021-04-20T00:00Matéria (Rio de Janeiro. Online) - Matéria (Rio de Janeiro. Online)false |
dc.title.none.fl_str_mv |
Effect of surface roughness and lubrication on the friction coefficient in deep drawing processes of aluminum alloy aa1100 with fem analysis 1 |
title |
Effect of surface roughness and lubrication on the friction coefficient in deep drawing processes of aluminum alloy aa1100 with fem analysis 1 |
spellingShingle |
Effect of surface roughness and lubrication on the friction coefficient in deep drawing processes of aluminum alloy aa1100 with fem analysis 1 Folle,Luis Fernando coefficient of friction Swift cup test FE analysis deep drawing process Part Design |
title_short |
Effect of surface roughness and lubrication on the friction coefficient in deep drawing processes of aluminum alloy aa1100 with fem analysis 1 |
title_full |
Effect of surface roughness and lubrication on the friction coefficient in deep drawing processes of aluminum alloy aa1100 with fem analysis 1 |
title_fullStr |
Effect of surface roughness and lubrication on the friction coefficient in deep drawing processes of aluminum alloy aa1100 with fem analysis 1 |
title_full_unstemmed |
Effect of surface roughness and lubrication on the friction coefficient in deep drawing processes of aluminum alloy aa1100 with fem analysis 1 |
title_sort |
Effect of surface roughness and lubrication on the friction coefficient in deep drawing processes of aluminum alloy aa1100 with fem analysis 1 |
author |
Folle,Luis Fernando |
author_facet |
Folle,Luis Fernando Schaeffer,Lirio |
author_role |
author |
author2 |
Schaeffer,Lirio |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Folle,Luis Fernando Schaeffer,Lirio |
dc.subject.por.fl_str_mv |
coefficient of friction Swift cup test FE analysis deep drawing process Part Design |
topic |
coefficient of friction Swift cup test FE analysis deep drawing process Part Design |
description |
ABSTRACT Friction between the interface workpiece and tooling has considerable importance in sheet metal forming operations; an accurate description of the friction is necessary to analyze and design new workpieces and tooling. This work suggests a methodology to determine and evaluate the mean coefficient of friction (COF) using the Finite Element Method (FEM) through Dynaform for the aluminum alloy AA1100. The results indicate that this methodology is consistent with reality. It is also observed that the software tends to diverge from the measured results because the software considers the COF to be constant along the process. Despite this trend, the greatest distance between the maximum drawing force given by the measurement and the numeric simulation was not high: it was approximately 6%. Workpiece strain measurements were collected to compare with the numerical simulation results, and it was observed that they are generally in agreement. |
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=S1517-70762019000100326 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-70762019000100326 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/s1517-707620190001.0635 |
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.24 n.1 2019 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_ |
1752126691630645248 |