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首页> 外文期刊>Journal of Materials Engineering and Performance >Modeling Constitutive Relationship of Cu-0.4 Mg Alloy During Hot Deformation
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Modeling Constitutive Relationship of Cu-0.4 Mg Alloy During Hot Deformation

机译：Cu-0.4 Mg合金热变形本构关系的建模

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摘要

For predicting the high-temperature deformation behavior in a Cu-0.4 Mg alloy, the true stress-strain data from isothermal hot compression tests on a Gleeble-1500 thermo-mechanical simulator, in a wide range of temperatures (500, 600, 700, 750, and 800℃) and strain rates (0.005, 0.01, 0.1, 1, 5, and 10 s~(-1)), were employed to develop the Arrhenius-type constitutive model and the artificial neural network (ANN) constitutive model. Furthermore, prediction ability of the two models for high-temperature deformation behavior was evaluated. Correlation coefficients (R) between the experimental and predicted flow stress for the Arrhenius-type constitutive model and the ANN constitutive model are 0.9860 and 0.9998, respectively, and average absolute relative errors between the experimental and predicted flow stress for these two models are 5.3967% and 0.7401%, respectively. Results show that the ANN constitutive model can accurately predict the high-temperature deformation behavior over a wider range of temperatures and strain rates, while for the Arrhenius-type constitutive model there is greater divergence in the regime of high strain rates and low temperatures.
机译：为了预测Cu-0.4 Mg合金中的高温变形行为，可以在广泛的温度范围（500、600、700，用750和800℃）和应变率（0.005、0.01、0.1、1、5和10 s〜（-1））来开发Arrhenius型本构模型和人工神经网络（ANN）本构模型。此外，评估了两个模型对高温变形行为的预测能力。 Arrhenius型本构模型和ANN本构模型的实验和预测流应力之间的相关系数（R）分别为0.9860和0.9998，这两个模型的实验和预测流应力之间的平均绝对相对误差为5.3967％和0.7401％。结果表明，ANN本构模型可以在较宽的温度和应变率范围内准确预测高温变形行为，而对于Arrhenius型本构模型，在高应变率和低温范围内差异更大。

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