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Alloy solidification: Assessment and improvement of an easy-to-apply model.
- Source :
- Journal of Materials Science & Technology; Dec2022, Vol. 130, p1-11, 11p
- Publication Year :
- 2022
-
Abstract
- • The Gong-Chen model requires no experimental parameters and is easy to apply. • It can be used as a generic solidification model up to the solid fraction (fs) of 0.9. • When fs > 0.9, its applicability depends on both solute diffusion and partition coefficient. • The Gong-Chen model requires f s Lever > 1, which has been examined and justified. • The Won-Thomas model provides the most practical predictions but requires experimental input. It has been a central task of solidification research to predict solute microsegregation. Apart from the Lever rule and the Scheil-Gulliver equation, which concern two extreme cases, a long list of microsegregation models has been proposed. However, the use of these models often requires essential experimental input information, e.g. , the secondary dendrite arm spacing (λ), cooling rate (T ˙) or actual solidification range (Δ T). This requirement disables these models for alloy solidification with no measured values for λ, T ˙ and Δ T. Furthermore, not all of these required experimental data are easily obtainable. It is therefore highly desirable to have an easy-to-apply predictive model that is independent of experimental input, akin to the Lever rule or Scheil-Gulliver model. Gong, Chen, and co-workers have recently proposed such a model, referred to as the Gong-Chen model, by averaging the solid fractions (f s) of the Lever rule and Scheil-Gulliver model as the actual solid fraction. We provide a systematic assessment of this model versus established solidification microsegregation models and address a latent deficiency of the model, i.e., it allows the Lever rule solid fraction f s to be greater than one (f s > 1). It is shown that the Gong-Chen model can serve as a generic model for alloy solidification until f s reaches about 0.9, beyond which (f s > 0.9) its applicability is dictated by both the equilibrium solute partition coefficient (k) and the solute diffusion coefficient in the solid (D s), which has been tabulated in detail. [ABSTRACT FROM AUTHOR]
- Subjects :
- KIRKENDALL effect
SOLIDIFICATION
DIFFUSION coefficients
PREDICTION models
LEVERS
Subjects
Details
- Language :
- English
- ISSN :
- 10050302
- Volume :
- 130
- Database :
- Supplemental Index
- Journal :
- Journal of Materials Science & Technology
- Publication Type :
- Periodical
- Accession number :
- 158157193
- Full Text :
- https://doi.org/10.1016/j.jmst.2022.03.038