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首页> 外文期刊>Mechanics of materials >Modeling high temperature deformation characteristics of AA7020 aluminum alloy using substructure-based constitutive equations and mesh-free approximation method
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Modeling high temperature deformation characteristics of AA7020 aluminum alloy using substructure-based constitutive equations and mesh-free approximation method

机译：基于子结构的本构方程和无网格近似方法模拟AA7020铝合金的高温变形特性

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摘要

This research was aimed to assess the potential of a radial basis function (RBF) approximation method against the dislocation substructure-based constitutive model in predicting high-temperature deformation behavior of the AA7020 aluminum alloy. Hot compression tests were performed over a range of strain rate of 0.1-100 s(-1) and a range of temperature of 350-500 degrees C up to a strain of 0.6. The hot deformation behavior of the alloy was first described by a substructure kinetic-based constitutive equation, with the effects of strain, strain rate and temperature together with dynamic recovery parameters taken into consideration. A RBF approximation method was then developed to model the flow behavior of the material. The RBF model, as a kind of novel mesh-free function estimation approach, was trained and tested with the obtained datasets from the hot compression tests. The performance of the developed analytical and neural computational models was evaluated using statistical criteria. The results showed that the RBF model was more proficient and accurate in predicting the hot deformation behavior of this aluminum alloy than the substructure-based constitutive model.
机译：本研究旨在评估基于位错子结构的本构模型的径向基函数（RBF）近似方法在预测AA7020铝合金高温变形行为中的潜力。在0.1-100 s（-1）的应变速率范围和350-500摄氏度的温度范围内直至0.6的应变范围内进行热压缩测试。首先通过基于亚结构动力学的本构方程描述了合金的热变形行为，其中考虑了应变，应变速率和温度以及动态恢复参数的影响。然后开发了一种RBF近似方法来对材料的流动行为进行建模。 RBF模型作为一种新颖的无网格函数估计方法，使用从热压缩测试中获得的数据集进行了训练和测试。使用统计标准评估开发的分析和神经计算模型的性能。结果表明，与基于子结构的本构模型相比，RBF模型在预测此铝合金的热变形行为方面更为准确，准确。

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