摘要
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 flow behavior of the nickel-based superalloy GH4169 was investigated, and the neural-network prediction model of the flow behavior was established. The results show that calculated values of the alloy flow stress based on the neural-network model are well agreed with the experimental values, indicating that the established model is accurate.
出处
《铸造技术》
CAS
北大核心
2014年第12期2815-2817,共3页
Foundry Technology
关键词
镍基高温合金
热压缩模拟
模糊神经网络
nickel-based high-temperature alloy
hot compression simulation
fuzzy neural network
