Anderson, M.J. orcid.org/0000-0001-5552-4459, Benson, J., Brooks, J.W. et al. (2 more authors) (2019) Predicting precipitation kinetics during the annealing of additive manufactured inconel 625 components. Integrating Materials and Manufacturing Innovation, 8 (2). pp. 154-166. ISSN 2193-9764
Abstract
The prediction of solidification microstructures associated with additive manufacture of metallic components is fundamental in the identification scanning strategies, process parameters and subsequent heat treatments for optimised component properties. Interactions between the powder particles and the laser heat source result in complex thermal fields in and around the metal melt pool, which will influence the spatial distribution of chemical species as well as solid-state precipitation reactions. This paper demonstrates that a multi-component, multi-phase precipitation model can successfully predict the observed precipitation kinetics in Inconel 625, capturing the anomalous precipitation behaviour exhibited in additively manufactured components. A computer coupling of phase diagrams and thermochemistry (CALPHAD)-based approach captures the impact of dendritic segregation of alloying elements upon precipitation behaviour. The model was successful in capturing the precipitation kinetics during annealing considering the Nb-rich and Nb-depleted regions that are formed during additive manufacturing.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Keywords: | Nickel-based superalloy; Inconel 625; Precipitation; Mean-field theory; Additive manufacture |
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: | 25 Feb 2020 15:42 |
Last Modified: | 25 Feb 2020 15:42 |
Status: | Published |
Publisher: | Springer Science and Business Media LLC |
Refereed: | Yes |
Identification Number: | 10.1007/s40192-019-00134-7 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156156 |
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Filename: Anderson2019_Article_PredictingPrecipitationKinetic.pdf
Licence: CC-BY 4.0