Review on Cellular Automata for Microstructure Simulation of Metallic Materials
The cellular automata (CA) method has played an important role in the research and development of metallic materials. CA can interpret the microstructure changes of materials and obtain more abundant, accurate and intuitive information of microstructure evolution than conventional methods. CA can vi...
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MDPI AG
2024-03-01
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Online Access: | https://www.mdpi.com/1996-1944/17/6/1370 |
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author | Ying Zhi Yao Jiang Diwen Ke Xianlei Hu Xianghua Liu |
author_facet | Ying Zhi Yao Jiang Diwen Ke Xianlei Hu Xianghua Liu |
author_sort | Ying Zhi |
collection | DOAJ |
description | The cellular automata (CA) method has played an important role in the research and development of metallic materials. CA can interpret the microstructure changes of materials and obtain more abundant, accurate and intuitive information of microstructure evolution than conventional methods. CA can visually represent the process of grain formation, growth, development and change to us in a graphical way, which can assist us in analysis, thinking and solving problems. In the last five years, the application of CA in materials research has been rapidly developed, and CA has begun to occupy an increasingly important position in the simulation research of metallic materials. After introducing the advantages and limitations of CA compared to other widely used simulation methods, the purpose of this paper is to review the recent application progress on the microstructure simulation of metallic materials using CA, such as solidification, recrystallization, phase transformation and carbide precipitation occurring during forming and heat treatment. Specifically, recent research advances on microstructure simulation by CA in the fields of additive manufacturing, welding, asymmetrical rolling, corrosion prevention, etc., are also elaborated in this paper. Furthermore, this paper points out the future work direction of CA simulation in the research of metallic materials, especially in the simulation of the crystal structure, the prediction of mechanical properties, CA simulation software and rule systems, etc. These are expected to attract wide attention of researchers in the field of metallic materials and promote the development of CA in materials research. |
first_indexed | 2024-04-24T18:03:23Z |
format | Article |
id | doaj.art-5cdbe1ab1fd4412ea48f7ebc3d5145e0 |
institution | Directory Open Access Journal |
issn | 1996-1944 |
language | English |
last_indexed | 2024-04-24T18:03:23Z |
publishDate | 2024-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Materials |
spelling | doaj.art-5cdbe1ab1fd4412ea48f7ebc3d5145e02024-03-27T13:52:39ZengMDPI AGMaterials1996-19442024-03-01176137010.3390/ma17061370Review on Cellular Automata for Microstructure Simulation of Metallic MaterialsYing Zhi0Yao Jiang1Diwen Ke2Xianlei Hu3Xianghua Liu4State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, ChinaState Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, ChinaState Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, ChinaState Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, ChinaSchool of Material Science and Engineering, Northeastern University, Shenyang 110819, ChinaThe cellular automata (CA) method has played an important role in the research and development of metallic materials. CA can interpret the microstructure changes of materials and obtain more abundant, accurate and intuitive information of microstructure evolution than conventional methods. CA can visually represent the process of grain formation, growth, development and change to us in a graphical way, which can assist us in analysis, thinking and solving problems. In the last five years, the application of CA in materials research has been rapidly developed, and CA has begun to occupy an increasingly important position in the simulation research of metallic materials. After introducing the advantages and limitations of CA compared to other widely used simulation methods, the purpose of this paper is to review the recent application progress on the microstructure simulation of metallic materials using CA, such as solidification, recrystallization, phase transformation and carbide precipitation occurring during forming and heat treatment. Specifically, recent research advances on microstructure simulation by CA in the fields of additive manufacturing, welding, asymmetrical rolling, corrosion prevention, etc., are also elaborated in this paper. Furthermore, this paper points out the future work direction of CA simulation in the research of metallic materials, especially in the simulation of the crystal structure, the prediction of mechanical properties, CA simulation software and rule systems, etc. These are expected to attract wide attention of researchers in the field of metallic materials and promote the development of CA in materials research.https://www.mdpi.com/1996-1944/17/6/1370cellular automatasolidificationrecrystallizationphase transformationcarbide precipitationadditive manufacturing |
spellingShingle | Ying Zhi Yao Jiang Diwen Ke Xianlei Hu Xianghua Liu Review on Cellular Automata for Microstructure Simulation of Metallic Materials Materials cellular automata solidification recrystallization phase transformation carbide precipitation additive manufacturing |
title | Review on Cellular Automata for Microstructure Simulation of Metallic Materials |
title_full | Review on Cellular Automata for Microstructure Simulation of Metallic Materials |
title_fullStr | Review on Cellular Automata for Microstructure Simulation of Metallic Materials |
title_full_unstemmed | Review on Cellular Automata for Microstructure Simulation of Metallic Materials |
title_short | Review on Cellular Automata for Microstructure Simulation of Metallic Materials |
title_sort | review on cellular automata for microstructure simulation of metallic materials |
topic | cellular automata solidification recrystallization phase transformation carbide precipitation additive manufacturing |
url | https://www.mdpi.com/1996-1944/17/6/1370 |
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