A simple model to predict long-range atomic ordering temperatures in Cu-based shape memory alloys
- Autores
- Pelegrina, Jorge Luis
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The order–disorder and order–order phase transition temperatures in the austenitic phase of Cu-based shape memory alloys were used to obtain a set of first- and second-neighbour pair interchange energies. To this end, a mean field model was postulated. Then, the applicability to different alloys of this simple model was analysed. It was found that a good agreement with the experimental phase diagram is obtained for Cu–Zn–Al, Cu–Al–Ni and Cu–Al–Be alloys using composition-independent parameters. It was also found that for Cu–Al–Mn alloys, composition-dependent pair interchange energies need to be employed.
Fil: Pelegrina, Jorge Luis. Comision Nacional de Energía Atómica. Gerencia de Área Investigaciones y Aplicaciones no Nucleares. Gerencia de Física (Centro Atómico Bariloche). División Física de Metales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
Shape Memory Alloys
Copper Alloys
Order
Simulation - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/32488
Ver los metadatos del registro completo
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A simple model to predict long-range atomic ordering temperatures in Cu-based shape memory alloysPelegrina, Jorge LuisShape Memory AlloysCopper AlloysOrderSimulationhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The order–disorder and order–order phase transition temperatures in the austenitic phase of Cu-based shape memory alloys were used to obtain a set of first- and second-neighbour pair interchange energies. To this end, a mean field model was postulated. Then, the applicability to different alloys of this simple model was analysed. It was found that a good agreement with the experimental phase diagram is obtained for Cu–Zn–Al, Cu–Al–Ni and Cu–Al–Be alloys using composition-independent parameters. It was also found that for Cu–Al–Mn alloys, composition-dependent pair interchange energies need to be employed.Fil: Pelegrina, Jorge Luis. Comision Nacional de Energía Atómica. Gerencia de Área Investigaciones y Aplicaciones no Nucleares. Gerencia de Física (Centro Atómico Bariloche). División Física de Metales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaTaylor & Francis2014-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/32488A simple model to predict long-range atomic ordering temperatures in Cu-based shape memory alloys; Taylor & Francis; Philosophical Magazine; 94; 24; 6-2014; 2705-27231478-6435CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1080/14786435.2014.927600info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/14786435.2014.927600info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:13:41Zoai:ri.conicet.gov.ar:11336/32488instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:13:42.145CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
A simple model to predict long-range atomic ordering temperatures in Cu-based shape memory alloys |
title |
A simple model to predict long-range atomic ordering temperatures in Cu-based shape memory alloys |
spellingShingle |
A simple model to predict long-range atomic ordering temperatures in Cu-based shape memory alloys Pelegrina, Jorge Luis Shape Memory Alloys Copper Alloys Order Simulation |
title_short |
A simple model to predict long-range atomic ordering temperatures in Cu-based shape memory alloys |
title_full |
A simple model to predict long-range atomic ordering temperatures in Cu-based shape memory alloys |
title_fullStr |
A simple model to predict long-range atomic ordering temperatures in Cu-based shape memory alloys |
title_full_unstemmed |
A simple model to predict long-range atomic ordering temperatures in Cu-based shape memory alloys |
title_sort |
A simple model to predict long-range atomic ordering temperatures in Cu-based shape memory alloys |
dc.creator.none.fl_str_mv |
Pelegrina, Jorge Luis |
author |
Pelegrina, Jorge Luis |
author_facet |
Pelegrina, Jorge Luis |
author_role |
author |
dc.subject.none.fl_str_mv |
Shape Memory Alloys Copper Alloys Order Simulation |
topic |
Shape Memory Alloys Copper Alloys Order Simulation |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The order–disorder and order–order phase transition temperatures in the austenitic phase of Cu-based shape memory alloys were used to obtain a set of first- and second-neighbour pair interchange energies. To this end, a mean field model was postulated. Then, the applicability to different alloys of this simple model was analysed. It was found that a good agreement with the experimental phase diagram is obtained for Cu–Zn–Al, Cu–Al–Ni and Cu–Al–Be alloys using composition-independent parameters. It was also found that for Cu–Al–Mn alloys, composition-dependent pair interchange energies need to be employed. Fil: Pelegrina, Jorge Luis. Comision Nacional de Energía Atómica. Gerencia de Área Investigaciones y Aplicaciones no Nucleares. Gerencia de Física (Centro Atómico Bariloche). División Física de Metales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
The order–disorder and order–order phase transition temperatures in the austenitic phase of Cu-based shape memory alloys were used to obtain a set of first- and second-neighbour pair interchange energies. To this end, a mean field model was postulated. Then, the applicability to different alloys of this simple model was analysed. It was found that a good agreement with the experimental phase diagram is obtained for Cu–Zn–Al, Cu–Al–Ni and Cu–Al–Be alloys using composition-independent parameters. It was also found that for Cu–Al–Mn alloys, composition-dependent pair interchange energies need to be employed. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-06 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/32488 A simple model to predict long-range atomic ordering temperatures in Cu-based shape memory alloys; Taylor & Francis; Philosophical Magazine; 94; 24; 6-2014; 2705-2723 1478-6435 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/32488 |
identifier_str_mv |
A simple model to predict long-range atomic ordering temperatures in Cu-based shape memory alloys; Taylor & Francis; Philosophical Magazine; 94; 24; 6-2014; 2705-2723 1478-6435 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1080/14786435.2014.927600 info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/14786435.2014.927600 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Taylor & Francis |
publisher.none.fl_str_mv |
Taylor & Francis |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1846083284308590592 |
score |
13.22299 |