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Artificial neural network modified constitutive descriptions for hot deformation and kinetic models for dynamic recrystallization of novel AZE311 and AZX311 alloys
Materials Science and Engineering: A ( IF 6.1 ) Pub Date : 2021-04-18 , DOI: 10.1016/j.msea.2021.141259
Tong Wang , Yongzheng Chen , Bin Ouyang , Xiong Zhou , Jun Hu , Qichi Le

Two novel alloys of AZE311 and AZX311 were designed through adding 1 wt% Gd and Ca to the AZ31 alloy, respectively. To study the hot deformation behavior, compression tests were conducted at temperatures of 200–350 °C and the strain rates of 0.001–0.1/s. The conventional strain-related Arrhenius-type constitutive equations were developed based on the true stress-strain curves. The activation energy for hot deformation of AZE311 and AZX311 were determined about 137.04 kJ/mol and 155.57 kJ/mol, respectively. Remarkable deviations existed between the predicted and the experimental results for the flow curves with obvious stress peaks. A dimensionless correction factor λ was introduced to the conventional constitutive model based on the artificial neural network (ANN) method. After the modification, the average absolute relative error (AARE) of the models decreased significantly from 10.331% to 1.428% for AZE311 and from 8.555% to 0.703% for AZX311. Kinetic models for the dynamic recrystallization (DRX) process were established. The average values of εcp of AZE311 and AZX311 were 0.54 and 0.58, respectively. The addition of Gd and Ca promoted the initiation and process of DRX and Gd had a larger effect. DRX occurred at the grain boundaries of AZX311 while more uniformly in AZE311. The actual DRX fraction at large strain was slightly lower than the predicted results. This was because the grain orientation factor on the deformation and the DRX process was not considered in the establishment of the Avrami-type DRX kinetic models. The effect of grain orientations on the DRX process was also discussed.



中文翻译:

人工神经网络的热变形的本构描述和新型AZE311和AZX311合金动态再结晶的动力学模型

通过分别向AZ31合金中添加1 wt%的Gd和Ca,设计出两种新型的AZE311和AZX311合金。为了研究热变形行为,在200–350°C的温度和0.001–0.1 / s的应变速率下进行了压缩测试。基于真实的应力-应变曲线,建立了常规的应变相关Arrhenius型本构方程。确定AZE311和AZX311热变形的活化能分别为约137.04kJ / mol和155.57kJ / mol。具有明显应力峰值的流动曲线的预测结果与实验结果之间存在显着偏差。基于人工神经网络(ANN)方法,将无量纲校正因子λ引入到常规本构模型中。修改后,模型的平均绝对相对误差(AARE)从AZE311的10.331%显着降低到1.428%,而AZX311的模型则从8.555%降低到0.703%。建立了动态​​重结晶(DRX)过程的动力学模型。ε的平均值Çp AZE311和AZX311的分别为0.54和0.58。Gd和Ca的添加促进了DRX的引发和过程,而Gd的作用更大。DRX发生在AZX311的晶界,而在AZE311中更均匀。大应变下的实际DRX分数略低于预测结果。这是因为在建立Avrami型DRX动力学模型时未考虑晶粒取向因素对变形和DRX过程的影响。还讨论了晶粒取向对DRX过程的影响。

更新日期:2021-05-03
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