Pawlikowski Kacper, Sitko Mateusz, Perzyński Konrad, Madej Łukasz
Faculty of Metals Engineering and Industrial Computer Science, AGH University of Krakow, al. Adama Mickiewicza 30, 30-059 Kraków, Poland.
Materials (Basel). 2024 Aug 31;17(17):4327. doi: 10.3390/ma17174327.
Dynamic recrystallisation (DRX) is one of the fundamental phenomena in materials science, significantly impacting the microstructure and mechanical properties of components subjected to large plastic deformations. Experimental research on that topic carried out for a wide range of new metallic materials is often supported by computational materials science. A direct consideration and detailed understanding of this phenomenon are possible with a class of full-field numerical models based on the cellular automata (CA) method. However, the classical CA approach is based on a regular, fixed computational space and has limitations in capturing large deformations of the computational domain. Therefore, the main goal of the work is to develop and implement an alternative solution to overcome this limitation. The proposed solution is based on coupling the finite element (FE) method with the random cellular automata (RCA) approach. Such a model can directly consider the influence of geometrical changes in microstructure during large plastic deformation on recrystallisation progress. Details of the developed RCA DRX model assumptions and coupling issues with FE mesh are discussed. Particular attention is also paid to increasing model efficiency and robustness studies.
动态再结晶(DRX)是材料科学中的基本现象之一,对经历大塑性变形的部件的微观结构和力学性能有重大影响。针对各种新型金属材料开展的该主题实验研究通常得到计算材料科学的支持。基于元胞自动机(CA)方法的一类全场数值模型能够直接考虑并详细理解这一现象。然而,经典的CA方法基于规则、固定的计算空间,在捕捉计算域的大变形方面存在局限性。因此,这项工作的主要目标是开发并实施一种替代解决方案来克服这一局限性。所提出的解决方案基于将有限元(FE)方法与随机元胞自动机(RCA)方法相结合。这样的模型能够直接考虑大塑性变形过程中微观结构几何变化对再结晶进程的影响。文中讨论了所开发的RCA DRX模型假设的细节以及与有限元网格的耦合问题。同时还特别关注了提高模型效率和稳健性的研究。