Predicting the evolution of dislocation density following hot deformation
Predicting the evolution of dislocation density following hot deformation
A model to predict the evolution of dislocation density following hot deformation is presented in this article. The model is validated by stress relaxation experiments on austenite at various temperatures. It is found that the activation energy for self-diffusion is the rate-controlling parameter determining the evolution of dislocation density, and hence the recovery rate. A methodology to control the softening experienced by high-temperature alloys is proposed.
dislocations, recovery, stress relaxation
387-393
Huang, Mingxin
51ed1877-648a-47c1-81a7-f345f7270908
Perlade, Astrid
473f35f0-bff3-4cea-a0e6-cf084de8284d
Rivera-Diaz-Del-Castillo, Pedro E.J.
6e0abc1c-2aee-4a18-badc-bac28e7831e2
Huang, Mingxin
51ed1877-648a-47c1-81a7-f345f7270908
Perlade, Astrid
473f35f0-bff3-4cea-a0e6-cf084de8284d
Rivera-Diaz-Del-Castillo, Pedro E.J.
6e0abc1c-2aee-4a18-badc-bac28e7831e2
Huang, Mingxin, Perlade, Astrid and Rivera-Diaz-Del-Castillo, Pedro E.J.
(2011)
Predicting the evolution of dislocation density following hot deformation.
Philosophical Magazine Letters, 91 (6), .
(doi:10.1080/09500839.2011.565812).
Abstract
A model to predict the evolution of dislocation density following hot deformation is presented in this article. The model is validated by stress relaxation experiments on austenite at various temperatures. It is found that the activation energy for self-diffusion is the rate-controlling parameter determining the evolution of dislocation density, and hence the recovery rate. A methodology to control the softening experienced by high-temperature alloys is proposed.
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More information
Accepted/In Press date: 20 February 2011
e-pub ahead of print date: 11 April 2011
Keywords:
dislocations, recovery, stress relaxation
Identifiers
Local EPrints ID: 492891
URI: http://eprints.soton.ac.uk/id/eprint/492891
ISSN: 0950-0839
PURE UUID: 2980d89d-f1c7-4dba-90dc-8d462c3ba526
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Date deposited: 19 Aug 2024 16:48
Last modified: 20 Aug 2024 02:05
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Contributors
Author:
Mingxin Huang
Author:
Astrid Perlade
Author:
Pedro E.J. Rivera-Diaz-Del-Castillo
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