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建立了Q235动态再结晶微观组织演化的元胞自动机(CA)模型,提出了应用反分析原理来辨识模型参数的新方法。以实验流动应力曲线为依据,通过非线性回归的方法确定加工硬化和动态回复阶段的模型参数;将CA模型和自适应响应面(ARSM)优化技术相结合确定动态再结晶(DRX)的模型参数。模拟结果与实验结果良好一致,表明所提出的基于流动应力的反分析方法能够有效确定DRX模型参数,提高DRX微观组织演化的模拟精度。
The cellular automata (CA) model of Q235 dynamic recrystallization microstructure evolution was established, and a new method of identifying the model parameters by using the back analysis principle was proposed. Based on the experimental flow stress curves, the model parameters of the work-hardening and dynamic recovery stages are determined by the non-linear regression method. The model parameters of dynamic recrystallization (DRX) are determined by combining the CA model and the adaptive response surface (ARSM) optimization technique . The simulation results are in good agreement with the experimental results, indicating that the proposed inverse stress analysis method based on flow stress can effectively determine the DRX model parameters and improve the simulation accuracy of DRX microstructure evolution.