Modelling of microstructure evolution during hot rolling of AA5083 using an internal state variable approach integrated into an FE model

Modelling of microstructure evolution during hot rolling of AA5083 using an internal state variable approach integrated into an FE model
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DOI:
10.1016/j.msea.2004.08.045
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发表时间:
2005-01
影响因子:
6.4
通讯作者:
H. Ahmed;M. Wells;D. Maijer;B. Howes;M. Winden
H. Ahmed;M. Wells;D. Maijer;B. Howes;M. Winden
中科院分区:
材料科学1区
文献类型:
--
作者:
H. Ahmed;M. Wells;D. Maijer;B. Howes;M. Winden

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热轧是铝板产品制造中的关键工艺,可以显著影响冷轧板的最终性能。在这项研究中,开发了一个数学模型来预测整个厚度的热和变形历史的板进行单机架热轧使用商业有限元(FE)包,ABAQUS™。一个基于物理的内部状态变量微观组织模型已被纳入到有限元模拟AA5083铝合金,以预测变形完成后的材料存储的能量和随后的再结晶的演变。微观结构的预测进行了验证,对实验测量使用的Corus中试规模轧制设备在荷兰的IJmuiden的AA5083铝合金。该模型是能够预测的分数再结晶以及再结晶晶粒尺寸合理以及在一系列工业相关的热变形条件下。进行了灵敏度分析,以确定改变材料常数的微观结构模型和变形条件的预测再结晶行为的影响。分析表明,入口温度是最敏感的工艺参数,导致预测的再结晶驱动力、形核密度、再结晶分数和再结晶晶粒尺寸发生显著变化。
Hot rolling, a critical process in the manufacturing of aluminum sheet products, can significantly impact the final properties of the cold rolled sheet. In this research, a mathematical model was developed to predict the through-thickness thermal and deformation history of a sheet undergoing single stand hot rolling using the commercial finite element (FE) package, ABAQUS™. A physically based internal state variable microstructure model has been incorporated into the FE simulation for an AA5083 aluminum alloy to predict the evolution of the material stored energy and the subsequent recrystallization after deformation is complete. The microstructure predictions were validated against experimental measurements conducted using the Corus pilot scale rolling facility in IJmuiden, the Netherlands for an AA5083 aluminum alloy. The model was able to predict the fraction recrystallized as well as the recrystallized grain size reasonably well under a range of industrially relevant hot deformation conditions. A sensitivity analysis was carried out to determine the influence of changing the material constants in the microstructure model and deformation conditions on the predicted recrystallization behaviour. The analysis showed that the entry temperature was the most sensitive process parameter causing significant changes in the predicted driving force for recrystallization, nucleation density, fraction recrystallized, and recrystallized grain size.