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Strengthening of an Al-Cu-Mg alloy processed by high-pressure torsion due to clusters, defects and defect-cluster complexes

Strengthening of an Al-Cu-Mg alloy processed by high-pressure torsion due to clusters, defects and defect-cluster complexes
Strengthening of an Al-Cu-Mg alloy processed by high-pressure torsion due to clusters, defects and defect-cluster complexes
A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al-Cu-Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength.
high-pressure torsion, strengthening mechanism, modelling, atom probe tomography (APT), cluster–dislocation interaction
0921-5093
10-20
Chen, Ying
7434f7d9-5101-4606-8c0f-80fd58f283e5
Gao, Nong
9c1370f7-f4a9-4109-8a3a-4089b3baec21
Sha, Gang
b4bad9fa-ae61-42b0-97de-b21c8c444519
Ringer, Simon P.
e183738b-964a-4891-a1fa-6d86451bf0a5
Starink, Marco J.
fe61a323-4e0c-49c7-91f0-4450e1ec1e51
Chen, Ying
7434f7d9-5101-4606-8c0f-80fd58f283e5
Gao, Nong
9c1370f7-f4a9-4109-8a3a-4089b3baec21
Sha, Gang
b4bad9fa-ae61-42b0-97de-b21c8c444519
Ringer, Simon P.
e183738b-964a-4891-a1fa-6d86451bf0a5
Starink, Marco J.
fe61a323-4e0c-49c7-91f0-4450e1ec1e51

Chen, Ying, Gao, Nong, Sha, Gang, Ringer, Simon P. and Starink, Marco J. (2015) Strengthening of an Al-Cu-Mg alloy processed by high-pressure torsion due to clusters, defects and defect-cluster complexes. Materials Science and Engineering: A, 627, 10-20. (doi:10.1016/j.msea.2014.12.107).

Record type: Article

Abstract

A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al-Cu-Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength.

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MSEA 627-2015-p10-eprint.pdf - Accepted Manuscript
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More information

Accepted/In Press date: 24 December 2014
e-pub ahead of print date: 5 January 2015
Published date: 11 March 2015
Keywords: high-pressure torsion, strengthening mechanism, modelling, atom probe tomography (APT), cluster–dislocation interaction
Organisations: Engineering Mats & Surface Engineerg Gp

Identifiers

Local EPrints ID: 373350
URI: http://eprints.soton.ac.uk/id/eprint/373350
ISSN: 0921-5093
PURE UUID: c5a31c39-3608-46f2-bf32-ac1edf56197a
ORCID for Nong Gao: ORCID iD orcid.org/0000-0002-7430-0319

Catalogue record

Date deposited: 15 Jan 2015 16:54
Last modified: 15 Mar 2024 03:10

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Contributors

Author: Ying Chen
Author: Nong Gao ORCID iD
Author: Gang Sha
Author: Simon P. Ringer

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