Paper Title:
Simulation of Spherulite Growth during Polymer Crystallization by Use of a Cellular Automaton
  Abstract

This article introduces a 3D cellular automaton model for the prediction of spherulite growth phenomena in polymers at the mesoscopic scale. The automaton is discrete in time, real space, and orientation space. The kinetics is formulated according to the Hoffman-Lauritzen secondary surface nucleation and growth theory for spherulite expansion. It is used to calculate the switching probability of each grid point as a function of its previous state and the state of the neighboring grid points. The actual switching decision is made by evaluating the local switching probability using a Monte Carlo step. The growth rule is scaled by the ratio of the local and the maximum interface energies, the local and maximum occurring Gibbs enthalpy of transformation, the local and maximum occurring temperature, and by the spacing of the grid points. The use of experimental input data provides a real time and space scale.

  Info
Periodical
Materials Science Forum (Volumes 467-470)
Edited by
B. Bacroix, J.H. Driver, R. Le Gall, Cl. Maurice, R. Penelle, H. Réglé and L. Tabourot
Pages
603-610
DOI
10.4028/www.scientific.net/MSF.467-470.603
Citation
D. Raabe, "Simulation of Spherulite Growth during Polymer Crystallization by Use of a Cellular Automaton", Materials Science Forum, Vols. 467-470, pp. 603-610, 2004
Online since
October 2004
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yoshitaka Wada, Takayoshi Matsumoto, Masanori Kikuchi
Abstract:We have proposed a cell based parallel computing system using a cellular automaton model. The proposed system is designed by object-oriented...
571
Authors: Szilvia Gyöngyösi, Anita Tóth, Péter Barkóczy
Abstract:The same property of the phase transformations driven by short range diffusion (recrystallization, allotropic transformation, grain...
405
Authors: Zhi Fu Yang, Qing Yuan Meng, Yu Hang Jing
Chapter 1: Non-Ferrous Metal Material
Abstract:During the metal hot working process, the dislocation density will vary with strain and strain rate, and the variation of the dislocation...
71
Authors: Szilvia Gyöngyösi, Péter Barkóczy
Abstract:By applying the cellular automaton method the short-range diffusion processes in metals can be efficiently simulated. Several examples for...
150
Authors: Szilvia Gyöngyösi, Peter Barkoczy
Chapter 4: Simulation
Abstract:Numerous literature [1,4,5] has reported on the effective use of cellular automaton method for the simulation of short-range diffusion. Using...
217