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为了进一步改善瞬态形核率动态再结晶CA模型的动态回复阶段模拟精度,提出了采用应力差闭环控制-黄金搜索法取代唯象的位错密度增量模型来搜索、优化动态回复位错密度增量的方法,通过HPS485wf钢动态再结晶过程仿真和热模拟实验检验了该方法的合理性和应用效果。结果表明,这一方法合理、可行,能优化位错密度增量以提高动态回复阶段和动态再结晶全程的模拟精度和稳定性,较比传统的恒形核率动态再结晶CA模型的动态回复阶段和动态再结晶全程的模拟精度分别提高了98.91%和91.71%,较比瞬态形核率动态再结晶CA模型的动态回复阶段和动态再结晶全程的模拟精度分别提高了95.16%和49.47%。
In order to further improve the simulation accuracy of the dynamic recovery phase of the dynamic recrystallization CA model of transient nucleation rate, this paper proposes a method to search and optimize the dynamic recovery dislocation density by using the closed-loop control of stress difference - golden search instead of phenomenological increment of dislocation density Incremental method, through the HPS485wf steel dynamic recrystallization process simulation and thermal simulation experiments to test the rationality of the method and application results. The results show that this method is reasonable and feasible, and the increment of dislocation densities can be optimized to improve the simulation accuracy and stability of the whole process of dynamic recovery and dynamic recrystallization. Compared with the dynamic recovery of the conventional dynamic recrystallization nucleus dynamic recrystallization model The simulation accuracy of the whole process and the dynamic recrystallization increased by 98.91% and 91.71% respectively, which were increased by 95.16% and 49.47% respectively over the dynamic recovery phase and the dynamic recrystallization simulation of the dynamic recrystallization CA model of transient nucleation rate, .