2014
DOI: 10.1016/j.actamat.2014.02.029
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Thermodynamic modeling and diffusion kinetic experiments of binary Mg–Gd and Mg–Y systems

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Cited by 148 publications
(49 citation statements)
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“…Figure 5 shows the calculated values of the grain boundary segregation energy (DG seg ) for Ni and Y from the present results as well as for Gd using the relative compositions reported in the literature for matrix and grain boundary regions. [9] Also shown are the lattice diffusion coefficients at 673 K (400°C) calculated in the case of Gd and Y from the data of Das et al [17] and estimated in the case of Ni, where no accurate measurements of diffusion coefficient in Mg are reported. The diffusion coefficient for Ni in Mg was estimated from the diffusion coefficient (D) of Ni in Al, for which measurements are available.…”
Section: Solute Drag Modelmentioning
confidence: 99%
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“…Figure 5 shows the calculated values of the grain boundary segregation energy (DG seg ) for Ni and Y from the present results as well as for Gd using the relative compositions reported in the literature for matrix and grain boundary regions. [9] Also shown are the lattice diffusion coefficients at 673 K (400°C) calculated in the case of Gd and Y from the data of Das et al [17] and estimated in the case of Ni, where no accurate measurements of diffusion coefficient in Mg are reported. The diffusion coefficient for Ni in Mg was estimated from the diffusion coefficient (D) of Ni in Al, for which measurements are available.…”
Section: Solute Drag Modelmentioning
confidence: 99%
“…For Y and Gd in Mg, D 0 and Q for bulk diffusion were given by Reference 17. The anisotropy in the diffusion coefficient (which is small at the temperatures of interest here [17] ) was ignored. There are no reported data for the impurity diffusion coefficient of Ni in Mg, and so this was taken from the values reported for Ni in Al; the justification for this is discussed later.…”
Section: Modelmentioning
confidence: 99%
“…Magnesium alloys may substitute for aluminum and steel in aerospace and automotive industries with their higher specific strengths [9][10][11]. The growing interest in magnesium has driven experimental [12][13][14][15][16][17][18][19] and computational [20][21][22][23] studies of transport coefficients of the common Al and Zn solutes that improve strength and rare earth elements that improve ductility. Transport coefficients are fundamental inputs for models at the length and time scales of microstructure evolution.…”
mentioning
confidence: 99%
“…Accordingly, due to the low diffusion rates of these elements in magnesium, the RE elements may retard recrystallization so that higher temperatures are required for the onset of recrystallization in RE-containing Mg alloys. In this respect, the diffusion coefficients of Y and Gd in Mg are similar but they are almost one order of magnitude lower than for Al and Zn which are the conventional alloying elements in magnesium [38,39].…”
Section: Microstructural and Textural Evolution After Sptmentioning
confidence: 74%