2014
DOI: 10.3139/146.111008
|View full text |Cite
|
Sign up to set email alerts
|

Methods of segregation analysis applied to simulated multicomponent multiphase microstructures

Abstract: Advanced microstructure simulation models can predict solute segregation in 2D and 3D space, which often leads to outputs of large arrays of concentration values with a multitude of detailed information that hinders straightforward evaluations. The target of this study is to establish a common evaluation method for both simulation results and experimental data as a standard for quantitative comparison and validation. For this purpose, a methodology is adopted from experimental segregation analysis to transform… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 12 publications
0
2
0
Order By: Relevance
“…A changing curve progression generally requires a different sorting of the simulation data e.g. with respect to a leading element or a weighted rank number [7] . As a consequence of the simplified sorting, we observe a small, however almost negligible, deviation from Scheil in the very first part of the simulated distribution curve in Fig.…”
Section: Comparison To Scheil Predictionsmentioning
confidence: 99%
See 1 more Smart Citation
“…A changing curve progression generally requires a different sorting of the simulation data e.g. with respect to a leading element or a weighted rank number [7] . As a consequence of the simplified sorting, we observe a small, however almost negligible, deviation from Scheil in the very first part of the simulated distribution curve in Fig.…”
Section: Comparison To Scheil Predictionsmentioning
confidence: 99%
“…The coupling to thermodynamic databases enables handling of complex multicomponent multiphase quasi-equilibria, while diffusion matrixes can consistently be derived from mobility databases. Calphad-coupled MMPF simulations have become state of the art for steels [ 3 , 4] and many other technical alloys [5][6][7] , however not yet for alloys that exhibit significant volume change during solidification. This is especially true for nodular cast irons where graphite forms in a divorced eutectic transformation, with graphite expanding upon crystallization while austenite is shrinking.…”
Section: Introductionmentioning
confidence: 99%