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Grain growth computer simulation

V. Yu. Novikov. Abnormal grain growth computer simulation. Inter/ Sci 6 11, 1998. [Pg.924]

The merits and demerits of the many computer-simulation approaches to grain growth are critically analysed in a book chapter by Humphreys and Hatherly (1995), and the reader is referred to this to gain an appreciation of how alternative modelling strategies can be compared and evaluated. A still more recent and very clear critical comparison of the various modelling approaches is by Miodownik (2001). [Pg.476]

Frost H. J. and Thompson C. V., Computer Simulation of Grain Growth, Current Opinions in Solid State Materials Science 1, 361 (1996). [Pg.761]

Computer simulations have been used to explore the complexities of grain growth [21]. Two-dimensional models are usually used to simulate grain growth, either for... [Pg.534]

Srolovitz DJ, Andrason MP, Sahni PS, Giest GS (1984) Computer simulation of grain growth, 2. Grain size distribution, topology and dynamics. Acta Metall 32 793-802... [Pg.574]

Grest GS, Srolovitz DJ, Anderson MP (1985) Computer simulation of grain growth, 4. Anisotropic grain-boundary energies. Acta Metall 33 509-520... [Pg.575]

Yang W, Chen LQ, Messing GL (1995) Computer-simulation of anisotropic grain growth. Mater Sci Eng A Struct Mater Prop Microstmct Process 195 179-187 Kunaver U, Kolar D (1993) Computer-simulation of anisotropic grain-growth in ceramics. Acta Metall Mater 41 2255-2263... [Pg.575]

Anderson MP, Grest GS, Doherty RD, Li K, Srolovitz DJ (1989) Inhibition of grain-growth by 2nd phase particles—3 dimensional Monte-Carlo computer simulations. Scr Metall 23 753-758... [Pg.577]

Anderson MP, Grest GS, Srolovitz DJ (1989) Computation simulation of normal grain-growth in 3 dimensions. Phil Mag B Phys Condens Matter Stat Mech Electron Opt Magn Prop 59 293-329... [Pg.577]

Srolovitz, D. J., Grest, G. S. and Anderson, M. P., Computer simulation of grain growth—V. Abnormal grain growth, Acta MetalL, 33, 2233 7, 1985. [Pg.134]

Since the 1980s, computer simulations have played a key role in exploring some of the complexities of grain growth. Several models have been developed and... [Pg.563]

To summarize at this stage, the compute simulations employing the Monte Carlo procedure show a remarkable ability to provide realistic pictures of normal grain growth process and to provide a good fit to some experimental data. On the other hand, the physical significance of some of the results may need to be considered more fully. Nevertheless, Srolovitz et al. (22) suggest that the true... [Pg.566]

Figure 9.18 The grain size distribution function obtained from a computer simulation (histogram) compared with a lognormal fit to grain growth data for aluminum (solid curve) and with grain growth data for MgO (dashed curve). (From Ref. 22.)... Figure 9.18 The grain size distribution function obtained from a computer simulation (histogram) compared with a lognormal fit to grain growth data for aluminum (solid curve) and with grain growth data for MgO (dashed curve). (From Ref. 22.)...
Computer Simulations of Particle-Inhibited Grain Growth... [Pg.578]


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