Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloys
- Autores
- Sobrero, Cesar Enrique; la Roca, Paulo Matías; Roatta, Analía; Bolmaro, Raul Eduardo; Malarria, Jorge Alberto
- Año de publicación
- 2012
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- A strong alfa-fiber I texture with components from {0 0 1} 1 1 01 to {1 1 2}1 1 01 was developed in a polycrystalline Cu 13Al 5.5Ni 1Ti (wt%) shape memory alloy by hot extrusion at 800 ◦C (followed by recrystallization). Nearly fully recoverable strains up to the order of 6%, associated with cubic to monoclinic martensitic transformation beta1→ beta1, have been measured by thermal cycling under constant load experiments. Such a degree of strain recovery is typical of single crystals or polycrystalline arrays with a low degree of grain constraint, such as highly textured, bamboo like, extruded materials. The reversible transformation strains reached about 68% of the upper bound predicted by a Sachs-type model which averages the most favorable martensite variants in each grain, taking into account their orientation and disregarding interactions between them. Due to the strong texture introduced in the material, such high values of recoverable transformation strains are obtained even for specimens having a grain size/thickness ratio of ∼0.05, producing relatively high grain constraint.
Fil: Sobrero, Cesar Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina
Fil: la Roca, Paulo Matías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina
Fil: Roatta, Analía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina
Fil: Bolmaro, Raul Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina
Fil: Malarria, Jorge Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina - Materia
-
Shape memory alloys
CuAlNi polycrystals
Texture
Martensitic transformation strain - 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:11336/268037
Ver los metadatos del registro completo
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Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloysSobrero, Cesar Enriquela Roca, Paulo MatíasRoatta, AnalíaBolmaro, Raul EduardoMalarria, Jorge AlbertoShape memory alloysCuAlNi polycrystalsTextureMartensitic transformation strainhttps://purl.org/becyt/ford/2.5https://purl.org/becyt/ford/2A strong alfa-fiber I texture with components from {0 0 1} 1 1 01 to {1 1 2}1 1 01 was developed in a polycrystalline Cu 13Al 5.5Ni 1Ti (wt%) shape memory alloy by hot extrusion at 800 ◦C (followed by recrystallization). Nearly fully recoverable strains up to the order of 6%, associated with cubic to monoclinic martensitic transformation beta1→ beta1, have been measured by thermal cycling under constant load experiments. Such a degree of strain recovery is typical of single crystals or polycrystalline arrays with a low degree of grain constraint, such as highly textured, bamboo like, extruded materials. The reversible transformation strains reached about 68% of the upper bound predicted by a Sachs-type model which averages the most favorable martensite variants in each grain, taking into account their orientation and disregarding interactions between them. Due to the strong texture introduced in the material, such high values of recoverable transformation strains are obtained even for specimens having a grain size/thickness ratio of ∼0.05, producing relatively high grain constraint.Fil: Sobrero, Cesar Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; ArgentinaFil: la Roca, Paulo Matías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; ArgentinaFil: Roatta, Analía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; ArgentinaFil: Bolmaro, Raul Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; ArgentinaFil: Malarria, Jorge Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; ArgentinaElsevier Science SA2012-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/268037Sobrero, Cesar Enrique; la Roca, Paulo Matías; Roatta, Analía; Bolmaro, Raul Eduardo; Malarria, Jorge Alberto; Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloys; Elsevier Science SA; Materials Science and Engineering A: Structural Materials: Properties, Microstructure and Processing; 536; 2-2012; 207-2150921-5093CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0921509311014869info:eu-repo/semantics/altIdentifier/doi/10.1016/j.msea.2011.12.104info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:49:35Zoai:ri.conicet.gov.ar:11336/268037instacron: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:34982025-09-03 09:49:36.305CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloys |
title |
Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloys |
spellingShingle |
Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloys Sobrero, Cesar Enrique Shape memory alloys CuAlNi polycrystals Texture Martensitic transformation strain |
title_short |
Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloys |
title_full |
Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloys |
title_fullStr |
Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloys |
title_full_unstemmed |
Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloys |
title_sort |
Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloys |
dc.creator.none.fl_str_mv |
Sobrero, Cesar Enrique la Roca, Paulo Matías Roatta, Analía Bolmaro, Raul Eduardo Malarria, Jorge Alberto |
author |
Sobrero, Cesar Enrique |
author_facet |
Sobrero, Cesar Enrique la Roca, Paulo Matías Roatta, Analía Bolmaro, Raul Eduardo Malarria, Jorge Alberto |
author_role |
author |
author2 |
la Roca, Paulo Matías Roatta, Analía Bolmaro, Raul Eduardo Malarria, Jorge Alberto |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Shape memory alloys CuAlNi polycrystals Texture Martensitic transformation strain |
topic |
Shape memory alloys CuAlNi polycrystals Texture Martensitic transformation strain |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.5 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
A strong alfa-fiber I texture with components from {0 0 1} 1 1 01 to {1 1 2}1 1 01 was developed in a polycrystalline Cu 13Al 5.5Ni 1Ti (wt%) shape memory alloy by hot extrusion at 800 ◦C (followed by recrystallization). Nearly fully recoverable strains up to the order of 6%, associated with cubic to monoclinic martensitic transformation beta1→ beta1, have been measured by thermal cycling under constant load experiments. Such a degree of strain recovery is typical of single crystals or polycrystalline arrays with a low degree of grain constraint, such as highly textured, bamboo like, extruded materials. The reversible transformation strains reached about 68% of the upper bound predicted by a Sachs-type model which averages the most favorable martensite variants in each grain, taking into account their orientation and disregarding interactions between them. Due to the strong texture introduced in the material, such high values of recoverable transformation strains are obtained even for specimens having a grain size/thickness ratio of ∼0.05, producing relatively high grain constraint. Fil: Sobrero, Cesar Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina Fil: la Roca, Paulo Matías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina Fil: Roatta, Analía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina Fil: Bolmaro, Raul Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina Fil: Malarria, Jorge Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina |
description |
A strong alfa-fiber I texture with components from {0 0 1} 1 1 01 to {1 1 2}1 1 01 was developed in a polycrystalline Cu 13Al 5.5Ni 1Ti (wt%) shape memory alloy by hot extrusion at 800 ◦C (followed by recrystallization). Nearly fully recoverable strains up to the order of 6%, associated with cubic to monoclinic martensitic transformation beta1→ beta1, have been measured by thermal cycling under constant load experiments. Such a degree of strain recovery is typical of single crystals or polycrystalline arrays with a low degree of grain constraint, such as highly textured, bamboo like, extruded materials. The reversible transformation strains reached about 68% of the upper bound predicted by a Sachs-type model which averages the most favorable martensite variants in each grain, taking into account their orientation and disregarding interactions between them. Due to the strong texture introduced in the material, such high values of recoverable transformation strains are obtained even for specimens having a grain size/thickness ratio of ∼0.05, producing relatively high grain constraint. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-02 |
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/11336/268037 Sobrero, Cesar Enrique; la Roca, Paulo Matías; Roatta, Analía; Bolmaro, Raul Eduardo; Malarria, Jorge Alberto; Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloys; Elsevier Science SA; Materials Science and Engineering A: Structural Materials: Properties, Microstructure and Processing; 536; 2-2012; 207-215 0921-5093 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/268037 |
identifier_str_mv |
Sobrero, Cesar Enrique; la Roca, Paulo Matías; Roatta, Analía; Bolmaro, Raul Eduardo; Malarria, Jorge Alberto; Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloys; Elsevier Science SA; Materials Science and Engineering A: Structural Materials: Properties, Microstructure and Processing; 536; 2-2012; 207-215 0921-5093 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0921509311014869 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.msea.2011.12.104 |
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 application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science SA |
publisher.none.fl_str_mv |
Elsevier Science SA |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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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 |
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score |
13.13397 |