McFadden, G.
and Pande, C.
(2010),
Self-similar grain size distribution in three dimensions: A stochastic treatment, ACTA Materialia, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=901760 (Accessed May 20, 2026)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Self-similar grain size distribution in three dimensions: A stochastic treatment
Published
Author(s)
, C.S. Pande
Abstract
In this paper, a stochastic formulation of three dimensional grain growth is presented. It employs the recent extension of von Neumann law to three dimensions As expected our analysis leads to a Fokker-Planck equation for the size distribution, which should yield a unique self-similar asymptotic state that could be reached from any arbitrary initial state. The approximate solution of the Fokker-Planck equation presented here is based on the assumption of quasi-stationary distributions reached in the long time limit. The resulting grain size distributions, obtained both numerically and analytically, are shown to be in good agreement with each other and also with those obtained from computer simulations, indicating the validity of the stochastic approach.Citation
ACTA Materialia
Volume
58
Issue
3
Pub Type
Journals
Download Paper
Keywords
grain growth, stochastic Fokker-Planck equation, von Neumann law, self-similar asymptotic state, grain size distribution
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].
Created February 1, 2010, Updated June 2, 2021