Simulation of primary recrystallization using a modified three-dimensional cellular automaton |
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| Affiliation: | 1. University of Virginia, Material Science and Engineering, 395 McCormick Rd, Charlottesville, VA 22904, USA;2. Materials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, NM, USA;3. Y-12 National Security Complex, Oak Ridge, TN 37831, USA;1. Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland;2. Institut for Frontier Materials, Deakin University, Geelong, VIC 3220, Australia;1. College of Mechanic and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;2. School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China;1. College of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China;2. Key Laboratory for Anisotropy and Texture of Materials, Ministry of Education, Northeastern University, Shenyang 110819, China;3. National Engineering Research Center for Magnesium Alloys, College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China |
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| Abstract: | A modified three-dimensional cellular automaton algorithm has been developed to simulate primary static recrystallization of cold-worked metals. The driving force for the nucleation and growth of recrystallized grains is the volume free energy due to the stored dislocation density of the deformed matrix. Growth terminates upon impingement. The code allows the introduction of specific conditions for recovery, nucleation and grain boundary motion. The model is capable of simulating kinetics, microstructure and texture development during recrystallization. The modification of the cellular automaton approach allows for the simulation of an orientation dependent growth rate. A novel algorithm minimizes the computational load and computer memory requirement. |
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