Simulation of microstructure evolution during recrystallization using a high resolution three dimensional cellular automaton

2004 ◽  
Vol 120 ◽  
pp. 225-230
Author(s):  
P. Mukhopadhyay ◽  
M. Loeck ◽  
G. Gottstein
Keyword(s):  
High Resolution ◽  
Cellular Automata ◽  
Cellular Automaton ◽  
Microstructure Evolution ◽  
Static Recrystallization ◽  
Three Dimensional ◽  
Computation Time ◽  
Recrystallization Process ◽  
Recovery Condition ◽  
Physically Based

A more refined 3D cellular Automata (CA) algorithm has been developed which has increased the resolution of the space and reduced the computation time and can take care of the complexity of recrystallization process through physically based solutions. This model includes recovery, condition for nucleation and orientation dependent variable nuclei growth as a process of primary static recrystallization. Incorporation of microchemistry effects makes this model suitable for simulating recrystallization behaviour in terms of texture, kinetics and microstructure of different alloys. The model is flexible to couple up with other simulation programs on a common database.

Simulating Self-Regeneration and Self-Replication Processes Using Movable Cellular Automata with a Mutual Equilibrium Neighborhood

2020 ◽  
Vol 29 (4) ◽  
pp. 741-757
Author(s):  
Kateryna Hazdiuk ◽  
◽  
Volodymyr Zhikharevich ◽  
Serhiy Ostapov ◽  
◽  
...  
Keyword(s):  
Cellular Automata ◽  
Cellular Automaton ◽  
Three Dimensional ◽  
Computer Models ◽  
The Self ◽  
Model Construction ◽  
Natural Phenomena ◽  
Different Types ◽  
Movable Cellular Automata ◽  
Self Replication

This paper deals with the issue of model construction of the self-regeneration and self-replication processes using movable cellular automata (MCAs). The rules of cellular automaton (CA) interactions are found according to the concept of equilibrium neighborhood. The method is implemented by establishing these rules between different types of cellular automata (CAs). Several models for two- and three-dimensional cases are described, which depict both stable and unstable structures. As a result, computer models imitating such natural phenomena as self-replication and self-regeneration are obtained and graphically presented.

Influence of Grain Boundary Mobility on Microstructure Evolution during Recrystallisation

2012 ◽  
Vol 715-716 ◽  
pp. 191-196
Author(s):  
Myrjam Winning ◽  
Dierk Raabe
Keyword(s):  
Grain Boundary ◽  
Cellular Automaton ◽  
Grain Boundaries ◽  
Single Crystals ◽  
Microstructure Evolution ◽  
Texture Evolution ◽  
Three Dimensional ◽  
Boundary Mobility ◽  
Metallic Materials ◽  
Grain Boundary Mobility

The paper introduces first investigations on how low angle grain boundaries can influence the recrystallisation behaviour of crystalline metallic materials. For this purpose a three-dimensional cellular automaton model was used. The approach in this study is to allow even low angle grain boundaries to move during recrystallisation. The effect of this non-zero mobility of low angle grain boundaries will be analysed for the recrystallisation of deformed Al single crystals with Cube orientation. It will be shown that low angle grain boundaries indeed influence the kinetics as well as the texture evolution of metallic materials during recrystallisation.

Modelling of the Microstructure Evolution Using Cellular Automata Framework and WorkFlow Approach

2014 ◽  
Vol 611-612 ◽  
pp. 497-504
Author(s):  
Rafal Golab ◽  
Mateusz Sitko ◽  
Łukasz Madej
Keyword(s):  
Phase Transformation ◽  
Cellular Automata ◽  
Microstructure Evolution ◽  
Static Recrystallization ◽  
Application Framework ◽  
Mechanical Processing ◽  
Complex Solution ◽  
The Subject ◽  
User Friendly

Development of an efficient and user friendly application (framework) for modelling microstructure evolution during thermo-mechanical processing using Cellular Automata (CA) method and WorkFlow approach is the subject of the present work. Description of the major assumptions and functionality of the developed framework is presented first. Then, major assumptions of the implemented cellular automata models dealing with simulation of phase transformation and static recrystallization are presented. Finally, the idea of the WorkFlow methodology is described and used to join the two CA microstructure evolution models into one complex solution. Examples of obtained results of microstructure behaviour during thermo-mechanical processing are also presented within the paper.

Simulation of Grain Coarsening Using One-Dimensional Cellular Automaton

2013 ◽  
Vol 752 ◽  
pp. 217-222 ◽  
Author(s):  
Szilvia Gyöngyösi ◽  
Peter Barkoczy
Keyword(s):  
Cellular Automaton ◽  
Short Range ◽  
Three Dimensional ◽  
Recrystallization Process ◽  
Grain Coarsening ◽  
One Dimensional ◽  
Measurement Results ◽  
Dimension 2 ◽  
Dimensional Simulation ◽  
Effective Use

Numerous literature [1,4,5] has reported on the effective use of cellular automaton method for the simulation of short-range diffusion. Using this model for the simulation of short-range diffusional phase transformations therefore is a resolved issue. It is proven that two- or three-dimensional automata can reflect the course of the abovementioned processes realistically. What our study demonstrates more than in the past [1] is that two-dimensional stochastic cellular automaton simulation already presented before has been simplified. This time our automaton operates in one dimension [2], which has consequently reduced running time, thus, made it possible to enhance the efficiency of the scaling of simulation. In our previous work the results of scaling of one-dimensional simulation of the recrystallization process [3] were demonstrated, in our current study fitting is performed for measurement results of grain coarsening using one-dimensional cellular automaton.

scholarly journals Scaling Scientific Cellular Automata Microstructure Evolution Model of Static Recrystallization toward Practical Industrial Calculations

Materials ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4082
Author(s):  
Mateusz Sitko ◽  
Krzysztof Banaś ◽  
Lukasz Madej
Keyword(s):  
Cellular Automata ◽  
High Performance Computing ◽  
Microstructure Evolution ◽  
High Performance ◽  
Static Recrystallization ◽  
Full Field ◽  
Practical Applications ◽  
Grain Boundary Mobility ◽  
Computation Scheme ◽  
Performance Computing

An attempt to bridge the gap between capabilities offered by advanced full-field microstructure evolution models based on the cellular automata method and their practical applications to daily industrial technology design was the goal of the work. High-performance parallelization techniques applied to the cellular automata static recrystallization (CA-SRX) model were selected as a case study. Basic assumptions of the CA-SRX model and developed modifications allowing high-performance computing are presented within the paper. Particular attention is placed on the development of the parallel computation scheme allowing numerical simulations even for a large volume of material. The development of new approaches to handle communication within the distributed environment is also addressed in the paper as a means to obtain higher computational efficiency. Evaluation of model limits was based on the scalability analysis. The investigation was carried out for the 3D and 2D case studies. Therefore, the complex static recrystallization cellular automata simulation taking into account the influence of recovery, nucleation based on accumulated energy, and the progress of recrystallization as a function of stored energy and grain boundary mobility with high-performance computing capabilities is now possible. The research highlighted that parallelization is more effective with an increasing number of cellular automata cells processed during the entire simulation. It was also proven that the developed parallelization scheme and communication mechanism provides a possibility of obtaining scaled speedup over 700 times for 2D and over 800 times for 3D computational domains, which is crucial for future applications in industrial practice. Therefore, the presented approach’s main advantage is based on the possibility of running the calculation based on input data obtained directly from high-resolution 3D imaging of the microstructure. With that, the full immersion of the experimental results into the numerical model is possible. The second novelty aspect of this work is related to the identification of the quality of model predictions as a function of model size reductions.

Dynamic Recrystallization Modeling during Hot Forging of a Nickel Based Superalloy

2010 ◽  
Vol 638-642 ◽  
pp. 2321-2326 ◽  
Author(s):  
Denis Solas ◽  
Julien Thébault ◽  
Colette Rey ◽  
Thierry Baudin
Keyword(s):  
Dynamic Recrystallization ◽  
Cellular Automaton ◽  
Microstructure Evolution ◽  
Hot Forging ◽  
Local Strain ◽  
Local Variation ◽  
Lattice Rotation ◽  
Recrystallization Process ◽  
Grain Boundary Mobility ◽  
Two Phases

A crystalline modeling of deformation implemented in the Finite Element code Abaqus® coupled to a recrystallization Cellular Automaton code is proposed and applied to the hot forging process. A sequential modeling is used in order to obtain a better understanding of the experimental observations and to improve our knowledge of the dynamic recrystallization process. Modeling is performed on aggregates built up from Electron Back Scattered Diffraction measurements. At the deformation temperature, the material presents two phases with a γ matrix of FCC structure and a γ’ hardening phase under a precipitate shape (Ni3(Ti,Al)) of SC structure. The crystalline approach can describe the interactions between the two phases and can compute the evolution of the local strain and stress fields as well as the dislocation density and the lattice rotation in the different grains. A Cellular Automaton algorithm is used for simulating the microstructure evolution during dynamic recrystallization. Nucleation and grain boundary mobility depend on the misorientation and on the local variation in stored energy. This presentation mainly details the different assumptions introduced in the recrystallization code and their influences on the microstructure evolution.

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