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基于神经网络的镍基高温合金流变行为分析
Flow Behavior of Nickel-based Superalloy Based on Neural Network
【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。
【Abstract】 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.
【关键词】 镍基高温合金;
热压缩模拟;
模糊神经网络;
【Key words】 nickel-based high-temperature alloy; hot compression simulation; fuzzy neural network;
【Key words】 nickel-based high-temperature alloy; hot compression simulation; fuzzy neural network;
- 【文献出处】 铸造技术 ,Foundry Technology , 编辑部邮箱 ,2014年12期
- 【分类号】TG132.3
- 【下载频次】73