The University of Southampton
University of Southampton Institutional Repository

Predicting grain refinement by cold severe plastic deformation in alloys using volume average dislocation generation

Predicting grain refinement by cold severe plastic deformation in alloys using volume average dislocation generation
Predicting grain refinement by cold severe plastic deformation in alloys using volume average dislocation generation
The grain refinement during severe plastic deformation (SPD) is predicted using volume averaged amount of dislocations generated. The model incorporates a new expansion of a model for hardening in the parabolic hardening regime, in which the work hardening depends on the effective dislocation free path related to the presence of non shearable particles and solute-solute nearest neighbour interactions. These two mechanisms give rise to dislocation multiplication in the form of generation of geometrically necessary dislocations and dislocations induced by local bond energies. The model predicts the volume averaged amount of dislocations generated and considers that they distribute to create cell walls and move to existing cell walls/grain boundaries where they increase in the grain boundary misorientation. The model predicts grain sizes of Al alloys subjected to SPD over 2 orders of magnitude. The model correctly predicts the considerable influence of Mg content and content of non-shearable particles on the grain refinement during SPD.
severe plastic deformation (spd), equal channel angular pressing (ecap), dislocation mobility, aluminium alloys, grain size, dislocation density, dynamic recovery, misorientation angle
1359-6454
5796-5811
Starink, M.J.
fe61a323-4e0c-49c7-91f0-4450e1ec1e51
Qiao, X.G.
98a947bc-f5af-4841-9c53-c59a2d3fb9f8
Zhang, J.
722d2564-f8ae-40f1-b1e1-07896b67a0d8
Gao, N.
9c1370f7-f4a9-4109-8a3a-4089b3baec21
Starink, M.J.
fe61a323-4e0c-49c7-91f0-4450e1ec1e51
Qiao, X.G.
98a947bc-f5af-4841-9c53-c59a2d3fb9f8
Zhang, J.
722d2564-f8ae-40f1-b1e1-07896b67a0d8
Gao, N.
9c1370f7-f4a9-4109-8a3a-4089b3baec21

Starink, M.J., Qiao, X.G., Zhang, J. and Gao, N. (2009) Predicting grain refinement by cold severe plastic deformation in alloys using volume average dislocation generation. Acta Materialia, 57 (19), 5796-5811. (doi:10.1016/j.actamat.2009.08.006).

Record type: Article

Abstract

The grain refinement during severe plastic deformation (SPD) is predicted using volume averaged amount of dislocations generated. The model incorporates a new expansion of a model for hardening in the parabolic hardening regime, in which the work hardening depends on the effective dislocation free path related to the presence of non shearable particles and solute-solute nearest neighbour interactions. These two mechanisms give rise to dislocation multiplication in the form of generation of geometrically necessary dislocations and dislocations induced by local bond energies. The model predicts the volume averaged amount of dislocations generated and considers that they distribute to create cell walls and move to existing cell walls/grain boundaries where they increase in the grain boundary misorientation. The model predicts grain sizes of Al alloys subjected to SPD over 2 orders of magnitude. The model correctly predicts the considerable influence of Mg content and content of non-shearable particles on the grain refinement during SPD.

Text
Additional_data.pdf - Other
Download (17kB)
Text
Starink_et_al_Acta_Mater_2009.pdf - Author's Original
Download (972kB)

More information

e-pub ahead of print date: September 2009
Published date: November 2009
Keywords: severe plastic deformation (spd), equal channel angular pressing (ecap), dislocation mobility, aluminium alloys, grain size, dislocation density, dynamic recovery, misorientation angle
Organisations: Engineering Mats & Surface Engineerg Gp

Identifiers

Local EPrints ID: 66237
URI: http://eprints.soton.ac.uk/id/eprint/66237
ISSN: 1359-6454
PURE UUID: bda02667-bb4c-4075-8bb1-538260bb1667
ORCID for N. Gao: ORCID iD orcid.org/0000-0002-7430-0319

Catalogue record

Date deposited: 18 May 2009
Last modified: 14 Mar 2024 02:45

Export record

Altmetrics

Contributors

Author: M.J. Starink
Author: X.G. Qiao
Author: J. Zhang
Author: N. Gao ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×