Analysis of the transformations temperatures of helicoidal Ti-Ni actuators using computational numerical methods
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , , , |
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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Materials research (São Carlos. Online) |
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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 |
_version_ |
1754212662903832576 |