Anderson, M.J. orcid.org/0000-0001-5552-4459, Schulz, F., Lu, Y. et al. (4 more authors) (2020) On the modelling of precipitation kinetics in a Turbine disc nickel based superalloy. Acta Materialia, 191. pp. 81-100. ISSN 1359-6454
Abstract
The precipitation kinetics of gamma prime in the nickel based superalloy RR1000 has been characterised after solid-solution heat treatments and isothermal aging conditions relevant to service conditions. Multi-modal precipitate dispersions are formed within the alloy. Numerical methods are presented for determining the three dimensional size of the particle populations combining information obtained from Scanning Electron microscopy and Transmission Electron microscopy. This information has been used to develop a multi-component mean-field model descriptive of precipitation kinetics. The smallest particle population increases in mean size during isothermal aging at 700∘ C where classical mean-field models of coarsening kinetics suggest that these particles should dissolve. A phenomenological model has been proposed to capture this behaviour within a statistical formulation that is applicable to both processing and service conditions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Published by Elsevier Ltd on behalf of Acta Materialia Inc. This is an author produced version of a paper subsequently published in Acta Materialia. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Nickel based superalloy; RR1000; particle coarsening; mean-field theory; multi-components systems; multi-modal particle radius distribution |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Materials Science and Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Apr 2020 10:57 |
Last Modified: | 25 Nov 2021 12:16 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.actamat.2020.03.058 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:159428 |