A Note on Parameter Identification of the AISI 304 Stainless Steel Using Micromechanical-Based Phenomenological Approaches

Detalhes bibliográficos
Autor(a) principal: Vaz Jr.,Miguel
Data de Publicação: 2019
Outros Autores: Hulse,Emilio Rodrigues, Tomiyama,Masahiro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Materials research (São Carlos. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392019000400220
Resumo: Austenitic stainless steels have largely been used in industrial equipment, architectural components and consumer items amongst others. Numerical simulation of manufacturing processes of such components and parts requires adequate hardening descriptions and accurate inelastic parameters. This work addresses these issues for the AISI 304 stainless steels based on phenomenological approaches using a higher order logarithmic yield stress equation and alternative micromechanical-based equations. Identification of the inelastic parameters is performed by either curve-fitting strategies or optimization techniques. The experimental-numerical comparative assessments demonstrate that the micromechanical-based yield stress equation derived from Bergström's dislocation model provides the best hardening description.
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spelling A Note on Parameter Identification of the AISI 304 Stainless Steel Using Micromechanical-Based Phenomenological ApproachesAISI 304 stainless steelparameter identificationinverse problemsAustenitic stainless steels have largely been used in industrial equipment, architectural components and consumer items amongst others. Numerical simulation of manufacturing processes of such components and parts requires adequate hardening descriptions and accurate inelastic parameters. This work addresses these issues for the AISI 304 stainless steels based on phenomenological approaches using a higher order logarithmic yield stress equation and alternative micromechanical-based equations. Identification of the inelastic parameters is performed by either curve-fitting strategies or optimization techniques. The experimental-numerical comparative assessments demonstrate that the micromechanical-based yield stress equation derived from Bergström's dislocation model provides the best hardening description.ABM, ABC, ABPol2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392019000400220Materials Research v.22 n.4 2019reponame:Materials research (São Carlos. Online)instname:Universidade Federal de São Carlos (UFSCAR)instacron:ABM ABC ABPOL10.1590/1980-5373-mr-2019-0222info:eu-repo/semantics/openAccessVaz Jr.,MiguelHulse,Emilio RodriguesTomiyama,Masahiroeng2019-08-16T00:00:00Zoai:scielo:S1516-14392019000400220Revistahttp://www.scielo.br/mrPUBhttps://old.scielo.br/oai/scielo-oai.phpdedz@power.ufscar.br1980-53731516-1439opendoar:2019-08-16T00:00Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv A Note on Parameter Identification of the AISI 304 Stainless Steel Using Micromechanical-Based Phenomenological Approaches
title A Note on Parameter Identification of the AISI 304 Stainless Steel Using Micromechanical-Based Phenomenological Approaches
spellingShingle A Note on Parameter Identification of the AISI 304 Stainless Steel Using Micromechanical-Based Phenomenological Approaches
Vaz Jr.,Miguel
AISI 304 stainless steel
parameter identification
inverse problems
title_short A Note on Parameter Identification of the AISI 304 Stainless Steel Using Micromechanical-Based Phenomenological Approaches
title_full A Note on Parameter Identification of the AISI 304 Stainless Steel Using Micromechanical-Based Phenomenological Approaches
title_fullStr A Note on Parameter Identification of the AISI 304 Stainless Steel Using Micromechanical-Based Phenomenological Approaches
title_full_unstemmed A Note on Parameter Identification of the AISI 304 Stainless Steel Using Micromechanical-Based Phenomenological Approaches
title_sort A Note on Parameter Identification of the AISI 304 Stainless Steel Using Micromechanical-Based Phenomenological Approaches
author Vaz Jr.,Miguel
author_facet Vaz Jr.,Miguel
Hulse,Emilio Rodrigues
Tomiyama,Masahiro
author_role author
author2 Hulse,Emilio Rodrigues
Tomiyama,Masahiro
author2_role author
author
dc.contributor.author.fl_str_mv Vaz Jr.,Miguel
Hulse,Emilio Rodrigues
Tomiyama,Masahiro
dc.subject.por.fl_str_mv AISI 304 stainless steel
parameter identification
inverse problems
topic AISI 304 stainless steel
parameter identification
inverse problems
description Austenitic stainless steels have largely been used in industrial equipment, architectural components and consumer items amongst others. Numerical simulation of manufacturing processes of such components and parts requires adequate hardening descriptions and accurate inelastic parameters. This work addresses these issues for the AISI 304 stainless steels based on phenomenological approaches using a higher order logarithmic yield stress equation and alternative micromechanical-based equations. Identification of the inelastic parameters is performed by either curve-fitting strategies or optimization techniques. The experimental-numerical comparative assessments demonstrate that the micromechanical-based yield stress equation derived from Bergström's dislocation model provides the best hardening description.
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=S1516-14392019000400220
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392019000400220
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1980-5373-mr-2019-0222
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 ABM, ABC, ABPol
publisher.none.fl_str_mv ABM, ABC, ABPol
dc.source.none.fl_str_mv Materials Research v.22 n.4 2019
reponame:Materials research (São Carlos. Online)
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:ABM ABC ABPOL
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str ABM ABC ABPOL
institution ABM ABC ABPOL
reponame_str Materials research (São Carlos. Online)
collection Materials research (São Carlos. Online)
repository.name.fl_str_mv Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv dedz@power.ufscar.br
_version_ 1754212674916319232

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