2009
DOI: 10.1016/j.actamat.2009.08.002
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Multimodal size distributions of γ′ precipitates during continuous cooling of UDIMET 720 Li

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Cited by 177 publications
(61 citation statements)
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“…Such consideration is confirmed by Figure 5 where our results are compared to data available in the literature for either sub-solvus alloys [11], or super-solvus ones [10,12,13,15]. Power law dependence of the average diameter d to the cooling rates…”
Section: Grain Sizesupporting
confidence: 72%
“…Such consideration is confirmed by Figure 5 where our results are compared to data available in the literature for either sub-solvus alloys [11], or super-solvus ones [10,12,13,15]. Power law dependence of the average diameter d to the cooling rates…”
Section: Grain Sizesupporting
confidence: 72%
“…The models for the precipitation kinetics, including classic nucleation, diffusion controlled growth, and coarsening, are well developed [12,14,66,67,85] and have been successfully applied to simulate the γ precipitation in Ni-based superalloys [3,5,64,65,68,74]. Olson et al validated a similar precipitation model implemented in PrecipiCalc for 3rd generation disk alloys [64,65].…”
Section: γ Precipitationmentioning
confidence: 99%
“…G* contains the cube of the interfacial energy over the square of the driving force ∆G vol . Since G* appears in the exponent of the nucleation rate equation (1), small changes in γ and/or ∆G vol can lead to significant variations in J, which is demonstrated in a treatment of the evolution of multimodal size distributions in the nickel-base superalloy UDIMET 720 Li [15]. Once a precipitate is nucleated, its further growth is evaluated based on the evolution equations for the radius and composition of the precipitate derived by Svoboda et al [7] in a mean-field approach utilizing the thermodynamic extremal principle.…”
Section: Computer Simulationsmentioning
confidence: 99%