Determination of Barreling of Aluminum Solid Cylinders During Cold Upsetting Using Genetic Algorithm

Detalhes bibliográficos
Autor(a) principal: Kanca,Erdogan
Data de Publicação: 2019
Outros Autores: Eyercioglu,Omer, Gunen,Ali, Demir,Mehmet
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=S1517-70762019000100312
Resumo: ABSTRACT This study presents Genetic Programming models for the formulation of barreling of aluminum solid cylinders during cold upsetting based on experimental results. The maximum and minimum radii of the barreled cylinders having different aspect ratio (d/h= 0.5, 1.0 and 2.0) were measured for various frictional conditions (m=0.1-0.4). The change in radii with respect to height reduction showed different trends before and after folding, therefore, the corresponding reduction ratios of folding were also determined by using incremental upsetting. Genetic programming models were prepared using the experimental results with the input variables of the aspect ratio, the friction coefficient, and the reduction in height. The minimum and maximum barreling radii were formulated as output taking the folding into consideration. The performance of proposed GP models are quite satisfactory (R2 = 0.908-0.998).
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spelling Determination of Barreling of Aluminum Solid Cylinders During Cold Upsetting Using Genetic AlgorithmUpsetforgingbarrelingbulgingaxisymmetric compressionABSTRACT This study presents Genetic Programming models for the formulation of barreling of aluminum solid cylinders during cold upsetting based on experimental results. The maximum and minimum radii of the barreled cylinders having different aspect ratio (d/h= 0.5, 1.0 and 2.0) were measured for various frictional conditions (m=0.1-0.4). The change in radii with respect to height reduction showed different trends before and after folding, therefore, the corresponding reduction ratios of folding were also determined by using incremental upsetting. Genetic programming models were prepared using the experimental results with the input variables of the aspect ratio, the friction coefficient, and the reduction in height. The minimum and maximum barreling radii were formulated as output taking the folding into consideration. The performance of proposed GP models are quite satisfactory (R2 = 0.908-0.998).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=S1517-70762019000100312Matéria (Rio de Janeiro) v.24 n.1 2019reponame:Matéria (Rio de Janeiro. Online)instname:Matéria (Rio de Janeiro. Online)instacron:RLAM10.1590/s1517-707620190001.0621info:eu-repo/semantics/openAccessKanca,ErdoganEyercioglu,OmerGunen,AliDemir,Mehmeteng2019-07-03T00:00:00Zoai:scielo:S1517-70762019000100312Revistahttp://www.materia.coppe.ufrj.br/https://old.scielo.br/oai/scielo-oai.php||materia@labh2.coppe.ufrj.br1517-70761517-7076opendoar:2019-07-03T00:00Matéria (Rio de Janeiro. Online) - Matéria (Rio de Janeiro. Online)false
dc.title.none.fl_str_mv Determination of Barreling of Aluminum Solid Cylinders During Cold Upsetting Using Genetic Algorithm
title Determination of Barreling of Aluminum Solid Cylinders During Cold Upsetting Using Genetic Algorithm
spellingShingle Determination of Barreling of Aluminum Solid Cylinders During Cold Upsetting Using Genetic Algorithm
Kanca,Erdogan
Upset
forging
barreling
bulging
axisymmetric compression
title_short Determination of Barreling of Aluminum Solid Cylinders During Cold Upsetting Using Genetic Algorithm
title_full Determination of Barreling of Aluminum Solid Cylinders During Cold Upsetting Using Genetic Algorithm
title_fullStr Determination of Barreling of Aluminum Solid Cylinders During Cold Upsetting Using Genetic Algorithm
title_full_unstemmed Determination of Barreling of Aluminum Solid Cylinders During Cold Upsetting Using Genetic Algorithm
title_sort Determination of Barreling of Aluminum Solid Cylinders During Cold Upsetting Using Genetic Algorithm
author Kanca,Erdogan
author_facet Kanca,Erdogan
Eyercioglu,Omer
Gunen,Ali
Demir,Mehmet
author_role author
author2 Eyercioglu,Omer
Gunen,Ali
Demir,Mehmet
author2_role author
author
author
dc.contributor.author.fl_str_mv Kanca,Erdogan
Eyercioglu,Omer
Gunen,Ali
Demir,Mehmet
dc.subject.por.fl_str_mv Upset
forging
barreling
bulging
axisymmetric compression
topic Upset
forging
barreling
bulging
axisymmetric compression
description ABSTRACT This study presents Genetic Programming models for the formulation of barreling of aluminum solid cylinders during cold upsetting based on experimental results. The maximum and minimum radii of the barreled cylinders having different aspect ratio (d/h= 0.5, 1.0 and 2.0) were measured for various frictional conditions (m=0.1-0.4). The change in radii with respect to height reduction showed different trends before and after folding, therefore, the corresponding reduction ratios of folding were also determined by using incremental upsetting. Genetic programming models were prepared using the experimental results with the input variables of the aspect ratio, the friction coefficient, and the reduction in height. The minimum and maximum barreling radii were formulated as output taking the folding into consideration. The performance of proposed GP models are quite satisfactory (R2 = 0.908-0.998).
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=S1517-70762019000100312
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-70762019000100312
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/s1517-707620190001.0621
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
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