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采用正六边形网格划分法、最近邻邻居关系及周期性边界条件的二维元胞自动机(CA)法,建立了热加工过程中静态再结晶的微观组织演化模型。在此基础上分析了形变组织和微观结构的演化,以及再结晶动力学和储存能的变化情况。结果表明:变形程度越大,形变组织的晶粒形态越偏离等轴状。模型可动态的再现再结晶过程中的微观组织演变,晶粒形态、晶粒尺寸符合静态再结晶基本规律。模拟得到的动力学符合JMAK理论。Avrami曲线的斜率在2.5左右。随着变形程度的增加,储存能降低的速度加快,完成静态再结晶所需的时间缩短。此规律满足能量降低准则。充分表明本模型能够较好的模拟静态再结晶过程。
The microstructure evolution model of static recrystallization during hot working was established by the method of two-dimensional cellular automaton (CA) with regular hexagonal meshing method, nearest neighbor relation and periodic boundary condition. Based on this, the evolution of deformation microstructure and microstructure was analyzed, as well as the changes of recrystallization kinetics and storage energy. The results show that the larger the degree of deformation, the more deformed the grain shape deviates from the equiaxed shape. The model can dynamically reproduce the microstructure evolution during recrystallization, the grain morphology and the grain size conform to the basic rules of static recrystallization. The kinetics of simulation are in accordance with JMAK theory. The slope of the Avrami curve is around 2.5. As the degree of deformation increases, the rate of decrease of storage can be accelerated and the time required to complete the static recrystallization can be shortened. This law satisfies the energy reduction criterion. It shows that this model can simulate the static recrystallization process well.