Analysis of the transformations temperatures of helicoidal Ti-Ni actuators using computational numerical methods

Detalhes bibliográficos
Autor(a) principal: Oliveira,Carlos Augusto do N.
Data de Publicação: 2013
Outros Autores: Villa,Alvaro Antonio Ochoa, Gonzalez,Cezar Henrique, Guimarães,Pablo Batista, Ferreira,Rodrigo José, Urtiga Filho,Severino Leopoldino, Silva,Niedson José da, Rocha,José Orlando Silveira
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=S1516-14392013000400034
Resumo: The development of shape memory actuators has enabled noteworthy applications in the mechanical engineering, robotics, aerospace, and oil industries and in medicine. These applications have been targeted on miniaturization and taking full advantage of spaces. This article analyses a Ti-Ni shape memory actuator used as part of a flow control system. A Ti-Ni spring actuator is subjected to thermomechanical training and parameters such as transformation temperature, thermal hysteresis and shape memory effect performance were investigated. These parameters were important for understanding the behavior of the actuator related to martensitic phase transformation during the heating and cooling cycles which it undergoes when in service. The multiple regression methodology was used as a computational tool for analysing data in order to simulate and predict the results for stress and cycles where the experimental data was not developed. The results obtained using the training cycles enable actuators to be characterized and the numerical simulation to be validated.
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spelling Analysis of the transformations temperatures of helicoidal Ti-Ni actuators using computational numerical methodsshape memory effectTi-Ni actuatorsmultiple regression analysisThe development of shape memory actuators has enabled noteworthy applications in the mechanical engineering, robotics, aerospace, and oil industries and in medicine. These applications have been targeted on miniaturization and taking full advantage of spaces. This article analyses a Ti-Ni shape memory actuator used as part of a flow control system. A Ti-Ni spring actuator is subjected to thermomechanical training and parameters such as transformation temperature, thermal hysteresis and shape memory effect performance were investigated. These parameters were important for understanding the behavior of the actuator related to martensitic phase transformation during the heating and cooling cycles which it undergoes when in service. The multiple regression methodology was used as a computational tool for analysing data in order to simulate and predict the results for stress and cycles where the experimental data was not developed. The results obtained using the training cycles enable actuators to be characterized and the numerical simulation to be validated.ABM, ABC, ABPol2013-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392013000400034Materials Research v.16 n.4 2013reponame:Materials research (São Carlos. Online)instname:Universidade Federal de São Carlos (UFSCAR)instacron:ABM ABC ABPOL10.1590/S1516-14392013005000066info:eu-repo/semantics/openAccessOliveira,Carlos Augusto do N.Villa,Alvaro Antonio OchoaGonzalez,Cezar HenriqueGuimarães,Pablo BatistaFerreira,Rodrigo JoséUrtiga Filho,Severino LeopoldinoSilva,Niedson José daRocha,José Orlando Silveiraeng2013-08-02T00:00:00Zoai:scielo:S1516-14392013000400034Revistahttp://www.scielo.br/mrPUBhttps://old.scielo.br/oai/scielo-oai.phpdedz@power.ufscar.br1980-53731516-1439opendoar:2013-08-02T00:00Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv Analysis of the transformations temperatures of helicoidal Ti-Ni actuators using computational numerical methods
title Analysis of the transformations temperatures of helicoidal Ti-Ni actuators using computational numerical methods
spellingShingle Analysis of the transformations temperatures of helicoidal Ti-Ni actuators using computational numerical methods
Oliveira,Carlos Augusto do N.
shape memory effect
Ti-Ni actuators
multiple regression analysis
title_short Analysis of the transformations temperatures of helicoidal Ti-Ni actuators using computational numerical methods
title_full Analysis of the transformations temperatures of helicoidal Ti-Ni actuators using computational numerical methods
title_fullStr Analysis of the transformations temperatures of helicoidal Ti-Ni actuators using computational numerical methods
title_full_unstemmed Analysis of the transformations temperatures of helicoidal Ti-Ni actuators using computational numerical methods
title_sort Analysis of the transformations temperatures of helicoidal Ti-Ni actuators using computational numerical methods
author Oliveira,Carlos Augusto do N.
author_facet Oliveira,Carlos Augusto do N.
Villa,Alvaro Antonio Ochoa
Gonzalez,Cezar Henrique
Guimarães,Pablo Batista
Ferreira,Rodrigo José
Urtiga Filho,Severino Leopoldino
Silva,Niedson José da
Rocha,José Orlando Silveira
author_role author
author2 Villa,Alvaro Antonio Ochoa
Gonzalez,Cezar Henrique
Guimarães,Pablo Batista
Ferreira,Rodrigo José
Urtiga Filho,Severino Leopoldino
Silva,Niedson José da
Rocha,José Orlando Silveira
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Oliveira,Carlos Augusto do N.
Villa,Alvaro Antonio Ochoa
Gonzalez,Cezar Henrique
Guimarães,Pablo Batista
Ferreira,Rodrigo José
Urtiga Filho,Severino Leopoldino
Silva,Niedson José da
Rocha,José Orlando Silveira
dc.subject.por.fl_str_mv shape memory effect
Ti-Ni actuators
multiple regression analysis
topic shape memory effect
Ti-Ni actuators
multiple regression analysis
description The development of shape memory actuators has enabled noteworthy applications in the mechanical engineering, robotics, aerospace, and oil industries and in medicine. These applications have been targeted on miniaturization and taking full advantage of spaces. This article analyses a Ti-Ni shape memory actuator used as part of a flow control system. A Ti-Ni spring actuator is subjected to thermomechanical training and parameters such as transformation temperature, thermal hysteresis and shape memory effect performance were investigated. These parameters were important for understanding the behavior of the actuator related to martensitic phase transformation during the heating and cooling cycles which it undergoes when in service. The multiple regression methodology was used as a computational tool for analysing data in order to simulate and predict the results for stress and cycles where the experimental data was not developed. The results obtained using the training cycles enable actuators to be characterized and the numerical simulation to be validated.
publishDate 2013
dc.date.none.fl_str_mv 2013-08-01
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=S1516-14392013000400034
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392013000400034
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1516-14392013005000066
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.16 n.4 2013
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
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