Dai Qingsong, Deng Yunlai, Wang Yu, Huang Wenhui
School of Materials Science and Engineering, Central South University, Changsha 410083, China.
Guangxi Liuzhou Yinhai Aluminum Co., Ltd., Liuzhou 545006, China.
Materials (Basel). 2020 Nov 5;13(21):4982. doi: 10.3390/ma13214982.
The microstructure evolution and the mechanical behavior of Al-4.8Mg alloy were investigated by means of isothermal compression tests at various temperatures (280-520 °C) and strain rates (0.01-10 s). The results shown that there are three main mechanisms of dynamic softening of samples within the range of selected process parameters: dynamic recovery, dynamic recovery + dynamic recrystallization, and dynamic recrystallization, and the equiaxed dynamic recrystallization grain tends to be formed under higher temperature and higher strain rate. In order to accurately describe the dynamic recrystallization condition of Al-4.8Mg alloy under a wide range of hot deformation parameters, an improved dynamic recrystallization critical conditions model is proposed based on deformation activation energy and work-hardening rate. Additionally, a two-stage physically constitutive model considering the influence of work hardening-dynamic recovery and dynamic recrystallization is established. Comparisons between the predicted and experimental data indicate that the proposed model can adequately predict the flow stress in the range of selected process parameters with the average absolute relative error of 4.02%.
通过在不同温度(280 - 520°C)和应变速率(0.01 - 10 s)下进行等温压缩试验,研究了Al-4.8Mg合金的微观结构演变和力学行为。结果表明,在选定的工艺参数范围内,样品动态软化有三种主要机制:动态回复、动态回复 + 动态再结晶和动态再结晶,并且在较高温度和较高应变速率下倾向于形成等轴动态再结晶晶粒。为了准确描述Al-4.8Mg合金在广泛的热变形参数下的动态再结晶条件,基于变形激活能和加工硬化率提出了一种改进的动态再结晶临界条件模型。此外,建立了考虑加工硬化 - 动态回复和动态再结晶影响的两阶段物理本构模型。预测数据与实验数据的比较表明,所提出的模型能够在选定的工艺参数范围内充分预测流变应力,平均绝对相对误差为4.02%。