Study of Recrystallization in Metals through Equiaxial Growth of Nuclei by Computational Simulation with Three-Dimensional Hybrid Cellular Automata
Cellular Automata (CA) are powerful simulation tools that operate through discrete elements and associations. CA undirected neighborhood searches may produce specific grain shapes (e.g., octahedral, cuboctahedral, cubic), but not spherical ones. However, in recrystallization modeling, the spherical...
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Associação Brasileira de Metalurgia e Materiais (ABM); Associação Brasileira de Cerâmica (ABC); Associação Brasileira de Polímeros (ABPol)
2025-05-01
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| Series: | Materials Research |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392025000100248&lng=en&tlng=en |
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| _version_ | 1850225560458887168 |
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| author | Henrique Costa Braga Sidney Nicodemos da Silva |
| author_facet | Henrique Costa Braga Sidney Nicodemos da Silva |
| author_sort | Henrique Costa Braga |
| collection | DOAJ |
| description | Cellular Automata (CA) are powerful simulation tools that operate through discrete elements and associations. CA undirected neighborhood searches may produce specific grain shapes (e.g., octahedral, cuboctahedral, cubic), but not spherical ones. However, in recrystallization modeling, the spherical shape plays a crucial role. Thus, Hybrid Cellular Automata (HCA) share several properties with CA but operate in both continuous and discrete modes simultaneously. Unlike deterministic CA, HCA enable equiaxial grain growth without the need for additional correction algorithms, generating grains that remain initially spherical until they encounter boundaries. This behavior has been addressed by other simulation techniques, but HCA provide a simple and highly effective alternative. In this work, HCA are described in detail, including their foundational principles, algorithm performance, calibration, and potential results. The findings highlight the capability of HCA for straightforward and accurate recrystallization simulations with equiaxial growth. |
| format | Article |
| id | doaj-art-4ff74a0311bd4f2c9324ca6b53418448 |
| institution | OA Journals |
| issn | 1516-1439 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Associação Brasileira de Metalurgia e Materiais (ABM); Associação Brasileira de Cerâmica (ABC); Associação Brasileira de Polímeros (ABPol) |
| record_format | Article |
| series | Materials Research |
| spelling | doaj-art-4ff74a0311bd4f2c9324ca6b534184482025-08-20T02:05:20ZengAssociação Brasileira de Metalurgia e Materiais (ABM); Associação Brasileira de Cerâmica (ABC); Associação Brasileira de Polímeros (ABPol)Materials Research1516-14392025-05-012810.1590/1980-5373-mr-2025-0204Study of Recrystallization in Metals through Equiaxial Growth of Nuclei by Computational Simulation with Three-Dimensional Hybrid Cellular AutomataHenrique Costa Bragahttps://orcid.org/0000-0001-9504-6156Sidney Nicodemos da Silvahttps://orcid.org/0000-0002-4431-6651Cellular Automata (CA) are powerful simulation tools that operate through discrete elements and associations. CA undirected neighborhood searches may produce specific grain shapes (e.g., octahedral, cuboctahedral, cubic), but not spherical ones. However, in recrystallization modeling, the spherical shape plays a crucial role. Thus, Hybrid Cellular Automata (HCA) share several properties with CA but operate in both continuous and discrete modes simultaneously. Unlike deterministic CA, HCA enable equiaxial grain growth without the need for additional correction algorithms, generating grains that remain initially spherical until they encounter boundaries. This behavior has been addressed by other simulation techniques, but HCA provide a simple and highly effective alternative. In this work, HCA are described in detail, including their foundational principles, algorithm performance, calibration, and potential results. The findings highlight the capability of HCA for straightforward and accurate recrystallization simulations with equiaxial growth.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392025000100248&lng=en&tlng=enRecrystallizationequiaxied structurehybrid cellular automatacellular automata |
| spellingShingle | Henrique Costa Braga Sidney Nicodemos da Silva Study of Recrystallization in Metals through Equiaxial Growth of Nuclei by Computational Simulation with Three-Dimensional Hybrid Cellular Automata Materials Research Recrystallization equiaxied structure hybrid cellular automata cellular automata |
| title | Study of Recrystallization in Metals through Equiaxial Growth of Nuclei by Computational Simulation with Three-Dimensional Hybrid Cellular Automata |
| title_full | Study of Recrystallization in Metals through Equiaxial Growth of Nuclei by Computational Simulation with Three-Dimensional Hybrid Cellular Automata |
| title_fullStr | Study of Recrystallization in Metals through Equiaxial Growth of Nuclei by Computational Simulation with Three-Dimensional Hybrid Cellular Automata |
| title_full_unstemmed | Study of Recrystallization in Metals through Equiaxial Growth of Nuclei by Computational Simulation with Three-Dimensional Hybrid Cellular Automata |
| title_short | Study of Recrystallization in Metals through Equiaxial Growth of Nuclei by Computational Simulation with Three-Dimensional Hybrid Cellular Automata |
| title_sort | study of recrystallization in metals through equiaxial growth of nuclei by computational simulation with three dimensional hybrid cellular automata |
| topic | Recrystallization equiaxied structure hybrid cellular automata cellular automata |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392025000100248&lng=en&tlng=en |
| work_keys_str_mv | AT henriquecostabraga studyofrecrystallizationinmetalsthroughequiaxialgrowthofnucleibycomputationalsimulationwiththreedimensionalhybridcellularautomata AT sidneynicodemosdasilva studyofrecrystallizationinmetalsthroughequiaxialgrowthofnucleibycomputationalsimulationwiththreedimensionalhybridcellularautomata |