Modeling the Dynamic Recrystallization by Using Cellular Automaton: The Current Status, Challenges and Future Prospects, a Review
Mechanical properties of metals are substantially dependent on the microstructure, which can be controlled by thermo-mechanical parameters such as the temperature, strain and strain rate. Hence, understanding the microstructural evolution of alloys during the hot deformation is crucial for engineeri...
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| Format: | Article |
| Language: | English |
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Iran University of Science & Technology
2020-12-01
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| Series: | Iranian Journal of Materials Science and Engineering |
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| Online Access: | http://ijmse.iust.ac.ir/article-1-1595-en.html |
| _version_ | 1819003576187355136 |
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| author | M. Azarbarmas |
| author_facet | M. Azarbarmas |
| author_sort | M. Azarbarmas |
| collection | DOAJ |
| description | Mechanical properties of metals are substantially dependent on the microstructure, which can be controlled by thermo-mechanical parameters such as the temperature, strain and strain rate. Hence, understanding the microstructural evolution of alloys during the hot deformation is crucial for engineering the metal forming processes. The main objective of this work is to present an overview of Cellular Automaton (CA) modeling for predicting the microstructure of alloys during the dynamic recrystallization (DRX) phenomenon. In this review paper, first, overall descriptions about the DRX phenomenon and CA modeling were presented. Then, the CA modeling procedure was compared with similar methods. Meanwhile, related studies in the field of the DRX simulation by using the CA modeling were evaluated. Four main stages of the model were analyzed in terms of the “nucleation”, “growth”, “topological changes” and “texture evaluation” steps. Most important limitations including the calibration sensitivity, limitations in continuous DRX modeling, ignoring microstructural effects on the deformation behavior, limited applications and database as well as repeated results were discussed and then objective suggestions for the further development were provided. Finally, future prospects in CA modeling of DRX were presented in the last section. |
| first_indexed | 2024-12-20T23:23:12Z |
| format | Article |
| id | doaj.art-d4eb3ae6f4da4d1cb28d801dc8622b42 |
| institution | Directory Open Access Journal |
| issn | 1735-0808 2383-3882 |
| language | English |
| last_indexed | 2024-12-20T23:23:12Z |
| publishDate | 2020-12-01 |
| publisher | Iran University of Science & Technology |
| record_format | Article |
| series | Iranian Journal of Materials Science and Engineering |
| spelling | doaj.art-d4eb3ae6f4da4d1cb28d801dc8622b422022-12-21T19:23:28ZengIran University of Science & TechnologyIranian Journal of Materials Science and Engineering1735-08082383-38822020-12-01174103129Modeling the Dynamic Recrystallization by Using Cellular Automaton: The Current Status, Challenges and Future Prospects, a ReviewM. Azarbarmas0 Research Center for Advance Materials, Faculty of Materials Engineering, Sahand University of Technology, Tabriz, Iran Mechanical properties of metals are substantially dependent on the microstructure, which can be controlled by thermo-mechanical parameters such as the temperature, strain and strain rate. Hence, understanding the microstructural evolution of alloys during the hot deformation is crucial for engineering the metal forming processes. The main objective of this work is to present an overview of Cellular Automaton (CA) modeling for predicting the microstructure of alloys during the dynamic recrystallization (DRX) phenomenon. In this review paper, first, overall descriptions about the DRX phenomenon and CA modeling were presented. Then, the CA modeling procedure was compared with similar methods. Meanwhile, related studies in the field of the DRX simulation by using the CA modeling were evaluated. Four main stages of the model were analyzed in terms of the “nucleation”, “growth”, “topological changes” and “texture evaluation” steps. Most important limitations including the calibration sensitivity, limitations in continuous DRX modeling, ignoring microstructural effects on the deformation behavior, limited applications and database as well as repeated results were discussed and then objective suggestions for the further development were provided. Finally, future prospects in CA modeling of DRX were presented in the last section.http://ijmse.iust.ac.ir/article-1-1595-en.htmldynamic recrystallizationmodelingcellular automatonmicrostructure |
| spellingShingle | M. Azarbarmas Modeling the Dynamic Recrystallization by Using Cellular Automaton: The Current Status, Challenges and Future Prospects, a Review Iranian Journal of Materials Science and Engineering dynamic recrystallization modeling cellular automaton microstructure |
| title | Modeling the Dynamic Recrystallization by Using Cellular Automaton: The Current Status, Challenges and Future Prospects, a Review |
| title_full | Modeling the Dynamic Recrystallization by Using Cellular Automaton: The Current Status, Challenges and Future Prospects, a Review |
| title_fullStr | Modeling the Dynamic Recrystallization by Using Cellular Automaton: The Current Status, Challenges and Future Prospects, a Review |
| title_full_unstemmed | Modeling the Dynamic Recrystallization by Using Cellular Automaton: The Current Status, Challenges and Future Prospects, a Review |
| title_short | Modeling the Dynamic Recrystallization by Using Cellular Automaton: The Current Status, Challenges and Future Prospects, a Review |
| title_sort | modeling the dynamic recrystallization by using cellular automaton the current status challenges and future prospects a review |
| topic | dynamic recrystallization modeling cellular automaton microstructure |
| url | http://ijmse.iust.ac.ir/article-1-1595-en.html |
| work_keys_str_mv | AT mazarbarmas modelingthedynamicrecrystallizationbyusingcellularautomatonthecurrentstatuschallengesandfutureprospectsareview |