Importance of microstructural evolution on prediction accuracy of microsegregation in Al-Cu and Fe-Mn alloys

Quantitative Phase-field Modeling and Simulations of Solidification Microstructures

“…Quantitative phase-field simulations have been applied to analyses of the microsegregation behavior. [189][190][191][192][193] Figure 4 shows a comparison of the microsegregation behavior in fcc-solid solutions obtained by experiments and simulations. 193) These data show the solute composition (Cu in Al-rich primary phase or Mn in Fe-rich primary phase) with respect to the solid fraction.…”

“…[189][190][191][192][193] Figure 4 shows a comparison of the microsegregation behavior in fcc-solid solutions obtained by experiments and simulations. 193) These data show the solute composition (Cu in Al-rich primary phase or Mn in Fe-rich primary phase) with respect to the solid fraction. The plots in each figure represent the experimental data.…”

“…The dot-dashed line is the result of the one-dimensional (1D) finite difference method with the assumption of plate-shaped solid. In all cases, the 193) In each figure, the dot-dashed, dashed, and solid lines represent the results of the 1D finite difference method and 2D and 3D quantitative phase-field simulations, respectively, while the circle plots represent the experimental data. (Online version in color.…”

“…4. Comparisons of microsegregation behaviors between experimental and simulation results for columnar dendrite structures in (a) Al-2.0 mass%Cu, (b) Al-3.5 mass%Cu, (c) Fe-Mn alloys, and (d) equiaxed structure in Fe-Mn alloys 193). In each figure, the dot-dashed, dashed, and solid lines represent the results of the 1D finite difference method and 2D and 3D quantitative phase-field simulations, respectively, while the circle plots represent the experimental data.…”

Revisiting dynamics and models of microsegregation during polycrystalline solidification of binary alloy

“…However, quantitative analysis in both experiments and numerical simulations has indicated that the effect of back diffusion on microsegregation is very weak for most of metallic alloys [4,13], since the solute diffusion coefficient in solid is usually 3~4 orders of magnitude smaller than that in liquid. Another important issue is that the characteristic length of grains actually varies with the grain morphology, and therefore an accurate prediction using these derived models must access the dynamical evolution of the grain structure.…”