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A modified level set approach to 2D modeling of dynamic recrystallization

机译:改进的水平集方法对动态重结晶进行二维建模

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The macroscopic properties of metallic materials depend on the state of the grain microstructure. Recrystallization acts as one of the most important mechanisms in the evolution of the microstructure and hence also of the macroscopic properties. This paper presents a mesoscale model of microstructure evolution due to recrystallization, based on a level set formulation employed in a finite element setting. The use of level sets to represent grains and grain boundaries in polycrystal microstructures is a relatively recent development in computational materials science and the present contribution suggests new methodologies such as interface reconstruction, allowing for example boundary conditions to be prescribed along grain boundary interfaces and distinct localization and representation of grain boundary junctions. Polycrystal plasticity is modeled by considering the evolution of dislocation density in the individual crystals. The influence of grain boundaries on dislocation accumulation is captured in the model, causing the formation of dislocation density gradients within the grains. The model is used in simulations of dynamic recrystallization, taking pure copper as example material. It is shown that the proposed model captures the salient features of dynamic recrystallization during thermomechanical materials processing.
机译:金属材料的宏观性能取决于晶粒微观结构的状态。再结晶是微观结构和宏观性能演变中最重要的机制之一。本文基于有限元设置中使用的水平集公式,提出了由于再结晶而导致的微观结构演化的中尺度模型。使用能级集表示多晶微结构中的晶粒和晶界是计算材料科学中的一个相对较新的发展,并且本贡献提出了诸如界面重构之类的新方法,例如允许沿着晶界界面规定晶界条件和独特的局部化和晶界交界处的表示。多晶可塑性是通过考虑单个晶体中位错密度的演变来建模的。模型中捕获了晶界对位错积累的影响,从而导致了晶粒内位错密度梯度的形成。该模型用于动态再结晶的仿真中,以纯铜为示例材料。结果表明,所提出的模型捕获了热机械材料加工过程中动态再结晶的显着特征。

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