Application of a multi-component mean field model to the coarsening behaviour of a nickel-based superalloy
- Submitting institution
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The University of Sheffield
- Unit of assessment
- 12 - Engineering
- Output identifier
- 5887
- Type
- D - Journal article
- DOI
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10.1016/j.actamat.2016.05.024
- Title of journal
- Acta Materialia
- Article number
- -
- First page
- 80
- Volume
- 114
- Issue
- -
- ISSN
- 1359-6454
- Open access status
- Technical exception
- Month of publication
- May
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work provided the foundation for the development of award-winning predictive modelling capability (https://www.nist.gov/ambench/awards). It demonstrated that a multi-component modelling formulation makes it possible to calculate the impact of acceptable variations of alloy chemistry upon alloy performance. Further development of the model was then validated against multiple alloys and precipitate phases. The model has since been applied within Rolls-Royce, providing £2m in cost savings (contact: Team Leader - Materials & Process Modelling, Rolls-Royce). Furthermore, the research has been applied to 3 PhD projects, to model creep behaviour, crack propagation, and microstructural evolution during solid state welding.
- Author contribution statement
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- Non-English
- No
- English abstract
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