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Journal article

Mean-field modelling of the intermetallic precipitate phases during heat treatment and additive manufacture of Inconel 718

Abstract:
A multi-phase, multi-component mean-field model has been developed for simulating the intermetallic precipitation kinetics in Inconel 718. The aim of this work is to develop predictive capability to aid in process optimisation and explore precipitation kinetics during additive manufacturing (AM). The model has been calibrated to available experimental data, and then applied to predict precipitation kinetics during typical solid solution treatment and aging operations, and during AM. It is shown that a Computer Coupling of Phase Diagrams and Thermochemistry (CALPHAD) based modelling approach provides a unified particle growth rate which can capture the growth, coarsening and dissolution of , and δ precipitates under relevant heat treatment conditions. To apply the model to AM, finite element simulations of a simple rectangular build have been carried out, using a property switching method to simulate the material deposition. The component level simulation provides the thermal fields to calculate precipitation kinetics during deposition, also allowing for the examination of the heat affected zone in the substrate. The modelling approach can capture the repeated nucleation and dissolution of precipitates that occurs during AM. The model shows good agreement with experimental data when applied to predicting precipitation kinetics during heat treatment.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.actamat.2018.07.002

Authors

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Materials
Department:
Unknown
Role:
Author
ORCID:
0000-0003-2141-5865


Publisher:
Elsevier
Journal:
Acta Materialia More from this journal
Volume:
156
Pages:
432-445
Publication date:
2018-07-05
Acceptance date:
2018-07-01
DOI:
EISSN:
1873-2453
ISSN:
1359-6454


Keywords:
Pubs id:
pubs:891743
UUID:
uuid:4b04d9dd-2ee5-4810-afda-aae093e7960e
Local pid:
pubs:891743
Source identifiers:
891743
Deposit date:
2018-11-18
ARK identifier:

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