Grain size distribution and topology in 3D grain growth simulation with large-scale Monte Carlo method

A Monte Carlo (MC) procedure was applied to study static recrystallization processes. The initial microstructure, stored energy and orientation within each grain were taken from EBSD measurements. Site orientations used in the model may change continuously in Euler space. Several types of site saturated nucleation were implemented in the model. A standard MC algorithm was used and tested in several ways. The grain size distribution and final recrystallization texture obtained from the model were compared with experimental ones. The agreement between both sets of data is satisfactory. As some minor experimental effects are not observed in the model, some improvements are finally proposed.

Download Full-text

Grain Size Distribution during Grain Growth of Titanium

Journal of the Japan Institute of Metals and Materials ◽

10.2320/jinstmet1952.53.2_164 ◽

1989 ◽

Vol 53 (2) ◽

pp. 164-169

Author(s):

Yoshimasa Takayama ◽

Tatsumi Tozawa ◽

Hajime Kato ◽

Norio Furushiro ◽

Shigenori Hori

Keyword(s):

Grain Size ◽

Size Distribution ◽

Grain Growth ◽

Grain Size Distribution

Download Full-text

Reanalysis of the 3D quasi-stationary grain size distribution based on Hillert's grain growth rate equation

Science in China Series E ◽

10.1007/bf03037688 ◽

2004 ◽

Vol 47 (1) ◽

pp. 112-120

Author(s):

Chao Wang ◽

Guoquan Liu

Keyword(s):

Growth Rate ◽

Grain Size ◽

Size Distribution ◽

Grain Growth ◽

Grain Size Distribution ◽

Rate Equation

Download Full-text

The Correlation Theory of 2D Normal Grain Growth

Materials Science Forum ◽

10.4028/www.scientific.net/msf.467-470.1081 ◽

2004 ◽

Vol 467-470 ◽

pp. 1081-1086 ◽

Cited By ~ 1

Author(s):

M.W. Nordbakke ◽

N. Ryum ◽

Ola Hunderi

Keyword(s):

Grain Size ◽

Size Distribution ◽

Grain Growth ◽

Grain Size Distribution ◽

Computer Simulations ◽

Mean Field Theory ◽

Mean Field ◽

Grain Structures ◽

Spatial Grain ◽

Kinetics Of

Computer simulations of 2D normal grain growth have shown that size correlations between adjacent grains exist in 2D grain structures. These correlations prevail during the coarsening process and influence on the kinetics of the process and on the grain size distribution. Hillert’s analysis starts with the assumption that all grains in the structure have the same environment. Since computer simulations contradict this assumption, the mean-field theory for normal grain growth needs to be modified. A first attempt was made by Hunderi and Ryum, who modified Hillert’s growth law to include the effect of spatial grain size correlations. In the 1D case the distributions derived by means of the modified growth law agreed well with simulation data. However, the distribution derived for 2D grain growth retained unwanted properties of the Hillert distribution. We review some recent progress in developing a mean-field statistical theory. A paradox related to curvilinear polygons is shown to support the expectation that the grain size distribution has a finite cutoff.

Download Full-text