2004
DOI: 10.1016/j.scriptamat.2003.10.032
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Quantitative phase field modeling of diffusion-controlled precipitate growth and dissolution in Ti–Al–V

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Cited by 164 publications
(74 citation statements)
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“…Specifically, we mention Chen and co-workers, who have compared their phase field results on diffusion fields around a precipitate with those obtained by solving a diffusion equation. However, the focus of their work was on diffusion fields in ternary systems [22] or on lengthening and thickening of plate-like precipitates [23].…”
Section: Discussionmentioning
confidence: 99%
“…Specifically, we mention Chen and co-workers, who have compared their phase field results on diffusion fields around a precipitate with those obtained by solving a diffusion equation. However, the focus of their work was on diffusion fields in ternary systems [22] or on lengthening and thickening of plate-like precipitates [23].…”
Section: Discussionmentioning
confidence: 99%
“…Kobayashi et al [189] proposed a two-phase field model for ternary alloys including the thermodynamic data via an a priori calculated tie-line map of the ternary phase diagram. Chen et al [190] reported on direct linking the Tibase thermodynamic database from CompuTherm and the kinetic software DICTRA to a two-phase field model for modeling growth of precipitates in the ternary system Ti-Al-V. Cha et al [191] reported on coupling thermodynamic data to a two-phase field model. The only model that presently applies to multiphase transformations in multicomponent alloys is based on the multiphase-field model, initially developed by Steinbach et al [192] and Steinbach and Pezolla [193] for unary alloys.…”
Section: Phase Field Models For Multiphase Solidification In Multicommentioning
confidence: 99%
“…However, limited by the actual physical thickness of grain boundary thought as a few lattices parameters (for example 20Å), the parameters in the models were assumed as numerical values. Later, references [20][21][22] have produced an artificially diffuse interface at the length scale of practical interest. For example, increase the interface width from about 9nm to 36nm [21] without altering the kinetics and microstructure along the evolution path.…”
Section: Grain Boundary Range Among Grainsmentioning
confidence: 99%
“…The nucleation process of crystallization is simplified by a phenomenological method, and the well-defined microstructure is formed after a short time [20] . The initial state is given as the 4dx × 4dx unit grids which are evenly distributed in the simulated area, and the radius of the nucleus is a random value between 0 to 2 grids.…”
Section: Nucleation Conditionmentioning
confidence: 99%