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研究了镍基高温合金GH4169的高温流变行为,并建立了神经网络预测模型。结果表明,基于神经网络的镍基高温合金流动应力计算结果与实验测量值吻合较好,说明该模型的准确性较高。
The high temperature rheological behavior of GH4169 nickel-based superalloy was studied and a neural network prediction model was established. The results show that the calculated results of flow stress of Ni-based superalloy based on neural network agree well with the experimental ones, which shows that the accuracy of the model is high.