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A Study on Flow Behavior of AA5086 Over a Wide Range of Temperatures

机译:AA5086在宽温度范围内的流动行为研究

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Flow stress behavior of AA5086 was determined using tensile testing at different temperatures from room temperature to 500 A degrees C and strain rates varying between 0.002 and 1 s(-1). The strain rate sensitivity parameter and occurrence of dynamic strain aging were then investigated in which an Arrhenius-type model was employed to study the serrated flow. Additionally, hot deformation behavior at temperatures higher than 320 A degrees C was evaluated utilizing hyperbolic-sine constitutive equation. Finally, a feed forward artificial neural network model with back propagation learning algorithm was proposed to predict flow stress for all deformation conditions. The results demonstrated that the strain rate sensitivity at temperature range of 25-270 A degrees C was negative due to occurrence of dynamic strain aging leading to significant reduction in fracture strain. The serrated yielding activation energy was found to be 46.1 kJ/mol. It indicated that the migration of Mg-atoms could be the main reason for this phenomenon. The hot deformation activation energy of AA5086 was also calculated about 202.3 kJ/mol while the dynamic recovery was the main softening process. Moreover, the ANN model having two hidden layers was shown to be an efficient structure for determining flow stress of the examined alloy for all temperatures and strain rates.
机译:AA5086的流动应力行为是在室温至500 A的不同温度下使用拉伸试验确定的,应变率在0.002到1 s(-1)之间变化。然后研究了应变速率敏感性参数和动态应变时效的发生,其中使用Arrhenius型模型研究锯齿状流。此外,使用双曲正弦本构方程评估了高于320 A摄氏度的温度下的热变形行为。最后,提出了一种具有反向传播学习算法的前馈人工神经网络模型,以预测所有变形条件下的流应力。结果表明,由于发生动态应变时效,导致断裂应变显着降低,在25-270 A的温度范围内,应变率灵敏度为负。发现锯齿状的产生活化能为46.1kJ / mol。这表明镁原子的迁移可能是造成这种现象的主要原因。 AA5086的热形变活化能也被计算为约202.3 kJ / mol,而动态恢复是主要的软化过程。此外,具有两个隐藏层的ANN模型被证明是一种在所有温度和应变速率下确定被测合金的流应力的有效结构。

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