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Developed constitutive models, processing maps and microstructural evolution of Pb-Mg-10Al-0.5B alloy

机译:开发了PB-MG-10AL-0.5B合金的本结构型模型,处理地图和微观结构演化

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The hot deformation behavior and microstructural evolution of Pb-Mg-10Al-0.513 alloy in the strain rate range of 0.01-10 s(-1) and the temperature range of 493-653 K were investigated performing hot compression tests on the Gleeble-3500 thermal simulator. The flow behavior was described by the Arrhenius-type model, multiple-linear regressed model and artificial neural network (ANN) model. A comparison of the predicted flow stress from three models was carried out to obtain an accurate model in modeling the flow behavior of Pb-Mg-10Al-0.513 alloy. The results show that the flow stress of Pb-Mg-10Al-0.513 alloy is significantly influenced by the strain, strain rate and temperature. The ANN model can predict the flow stress more accurately than the Arrhenius-type and multiple-linear regressed models. The optimum parameters for hot working were obtained from the constructed processing maps and microstructures that the optimum temperatures and strain rates are 590-653 K and 0.01-0.3 s(-1), respectively.
机译:在0.01-10s(-1)的应变速率范围内Pb-mg-10Al-0.513合金的热变形行为和微观结构演化和493-653k的温度范围,对Gleyble-3500进行热压缩试验热模拟器。流动行为由Arrhenius型模型,多线性回归模型和人工神经网络(ANN)模型描述。进行了来自三种模型的预测流量应力的比较,以获得模拟PB-MG-10-0.513合金的流动性能的准确模型。结果表明,PB-Mg-10Al-0.513合金的流量应力显着受菌株,应变率和温度的影响。 ANN模型可以比Arrhenius型和多线性回归模型更准确地预测流量应力。从构造的处理图和微结构中获得最佳工作参数,即最佳温度和菌株率分别为590-653k和0.01-0.3秒(-1)。

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