Cellular Automata Simulation of Textural Evolution during Primary Static Recrystallization of IF Steel

2011 ◽  
Vol 702-703 ◽  
pp. 615-618
Author(s):  
Dong Kyu Kim ◽  
K.H. Jung ◽  
H.W. Lee ◽  
Yong Taek Im
Keyword(s):  
Cellular Automata ◽  
Static Recrystallization ◽  
Grain Morphology ◽  
Interstitial Free ◽  
If Steel ◽  
Probabilistic Cellular Automata ◽  
Cellular Automata Model ◽  
Textural Evolution ◽  
Annealing Texture ◽  
Curvature Driven

A two dimensional probabilistic cellular automata model is used to simulate primary static recrystallization of interstitial free (IF) steel. The present study is to investigate the effect of curvature-driven pressure that is induced by protrusions/retrusions of recrystallization fronts on the microstructural and textural evolution during recrystallization. It was found that local interface migration of protrusions/retrusions of recrystallization fronts could significantly affect the kinetics, grain morphology and annealing texture according to the present investigation.

Cellular automata modeling of static recrystallization based on the curvature driven subgrain growth mechanism

2013 ◽  
Vol 48 (20) ◽  
pp. 7142-7152 ◽  
Author(s):  
Fengbo Han ◽  
Bin Tang ◽  
Hongchao Kou ◽  
Jinshan Li ◽  
Yong Feng
Keyword(s):  
Cellular Automata ◽  
Growth Mechanism ◽  
Static Recrystallization ◽  
Subgrain Growth ◽  
Curvature Driven

Using Cellular Automata to Learn About the Immune System

1998 ◽  
Vol 09 (06) ◽  
pp. 793-799 ◽  
Author(s):  
Rita Maria Zorzenon Dos Santos
Keyword(s):  
Immune System ◽  
Cellular Automata ◽  
Time Evolution ◽  
Collective Behavior ◽  
Complex Dynamics ◽  
Biological Systems ◽  
Immune Repertoire ◽  
Probabilistic Cellular Automata ◽  
Cellular Automata Model ◽  
Simple Systems

Cellular automata are very simple systems that can exhibit complex dynamics on its time evolution. Over the last decade there have been many applications of cellular automata to modeling of biological systems. Those applications have been stimulated by the study of complex systems which has brought many insights into the cooperative and global behavior of the biological systems. Along with this discussion we present two different applications of deterministic and also of probabilistic cellular automata that are used to model the dynamics involved in cooperative and collective behavior of the immune system. In the first example, we use a deterministic cellular automata to model the time evolution of the immune repertoire, as a network, according to the Jerne's theory. Using this model we could reproduce some recent experimental results about immunization and aging of the immune system. In the second example, we use a probabilistic cellular automata model to study the evolution of HIV infection and the onset of AIDS. The results are in excellent agreement with experimental data obtained from infected patients. Besides the examples above, other interesting applications, such as models for cancer and recurrent epidemics, are being considered in the present framework.

scholarly journals A probabilistic cellular automata model for highway traffic simulation

2010 ◽  
Vol 1 (1) ◽  
pp. 337-345 ◽  
Author(s):  
Marcelo Zamith ◽  
Regina Célia P. Leal-Toledo ◽  
Mauricio Kischinhevsky ◽  
Esteban Clua ◽  
Diego Brandão ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Traffic Simulation ◽  
Highway Traffic ◽  
Probabilistic Cellular Automata ◽  
Cellular Automata Model

scholarly journals Probabilistic cellular automata model of generalised corrosion, transition to localised corrosion

2017 ◽  
Vol 52 (sup1) ◽  
pp. 186-193 ◽  
Author(s):  
Cristian Felipe Pérez-Brokate ◽  
Dung di Caprio ◽  
Damien Féron ◽  
Jacques de Lamare ◽  
Annie Chaussé
Keyword(s):  
Cellular Automata ◽  
Probabilistic Cellular Automata ◽  
Cellular Automata Model
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