Local Monte Carlo Method for Fatigue Analysis of Coarse-Grained Metals with a Nanograined Surface Layer

Guo, Xiang; Sun, Qianqian; Yang, Tao; Weng, George J.; Zhang, Cunbo; Feng, Xi‐Qiao

doi:10.3390/met8070479

Cited by 1 publication

(1 citation statement)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compared with the CA method, general FEM emphasizes simulating macroscopic stress–strain fields, temperature fields, etc., during material deformation and heat treatment processes, but it struggles to simulate changes in microstructure. Therefore, the FEM is often combined with the CA method [ 22 , 23 ], the MC method [ 24 , 25 ] and the PF method [ 26 ] to create new models that can simulate microstructure.…”

Section: Ca Characteristics and Modeling Steps For Microstructure Sim...mentioning

confidence: 99%

Review on Cellular Automata for Microstructure Simulation of Metallic Materials

Zhi,

Jiang,

et al. 2024

Materials

View full text Add to dashboard Cite

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.

show abstract