1987
DOI: 10.1016/0001-6160(87)90266-5
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On a stochastic theory of grain growth

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Cited by 129 publications
(67 citation statements)
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“…As expected, that analysis led to a Fokker-Planck equation for the size distribution, which can yield a unique self-similar asymptotic state that could be reached from any arbitrary initial state. The Fokker-Planck equation was obtained using a stochastic formulation first proposed by Pande [3] and employing von Neumann-Mullins law and the results of Rios and Glicksman [4]. We also showed that the boundary conditions are sufficient to determine the "strength" of the diffusion term D in terms of the parameters already determined by Rios and Glicksman [4].…”
Section: Introductionmentioning
confidence: 67%
See 1 more Smart Citation
“…As expected, that analysis led to a Fokker-Planck equation for the size distribution, which can yield a unique self-similar asymptotic state that could be reached from any arbitrary initial state. The Fokker-Planck equation was obtained using a stochastic formulation first proposed by Pande [3] and employing von Neumann-Mullins law and the results of Rios and Glicksman [4]. We also showed that the boundary conditions are sufficient to determine the "strength" of the diffusion term D in terms of the parameters already determined by Rios and Glicksman [4].…”
Section: Introductionmentioning
confidence: 67%
“…In Pande and Cooper [2] we showed why models based on a mean field approach cannot explain many properties of grain growth observed experimentally, no matter what form of growth rate is assumed. Hence, there is a need for a new approach, namely a stochastic treatment [3,[8][9][10][11].…”
Section: Analytical Formulationmentioning
confidence: 99%
“…]+ D_1_~(RN-l aF) at -aRLR 2 R N -1 aR aR This equation is known as a FokkerPlanck equation, and it has been solved in closed form with appropriate constraints. 24 The second term on the righthand side of this equation is the general diffusion term for N-dimensional grains (N = 1,2, or 3).…”
Section: Cj -60mentioning
confidence: 99%
“…----~----~------~----~-A comparison of measured grain size data in iron21 with the Rayleigh and log-normal distribution functions 24. The similarity of the size distributions at different annealing times illustrates the self-similar scaling behavior of grain growth.…”
mentioning
confidence: 98%
“…On normal grain growth, there have been extensive studies including the curvature-driven growth model, 1) diffusion-like growth model, 2) statistical analysis, 3) stochastic model 4) and numerical simulations. [5][6][7][8][9][10][11][12] Despite a variety of the analyzing methods, most of the studies predict an n-value of 2, and thereby n ¼ 2 has widely been recognized as the theoretical grain growth exponent for normal grain growth.…”
Section: Introductionmentioning
confidence: 99%