| 人工神经网络预测变形高温合金的持久强度 |
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| 引用本文： | 王春水,彭志方,于洋洋.人工神经网络预测变形高温合金的持久强度[J].金属学报,2003,39(12):1251-1254. |
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| 作者姓名： | 王春水 彭志方 于洋洋 |
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| 作者单位： | 武汉大学动力与机械学院,武汉,430072 |
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| 基金项目： | 国家自然科学基金50071042 |
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| 摘 要： | 基于对变形镍基高温合金在不同温度和时间条件下合金成分及其持久强度数据归一化处理后的反向传播神经网络模拟，得到了可以比较准确表达持久强度与合金成分、温度和时间之间复杂非线性关系的权值矩阵，由此可以对镍基合金在不同温度和时间条件下的持久强度进行预测．结果表明，用神经网络预测的持久强度与实验结果吻合良好，从而证实了该网络模型的准确性和适用性．
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| 关 键 词： | 镍基变形高温合金 人工神经网络 持久强度 |
| 文章编号： | 0412-1961(2003)12-1251-04 |
| 修稿时间： | 2003年1月6日 |
PREDICTION OF CREEP-RUPTURE STRENGTH OF WROUGHT Ni BASE SUPERALLOYS USING ARTIFICIAL NEURAL NETWORK |
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| WANG Chunshui,PENG Zhifang,YU Yangyang
College of Power and Mechanical Engineering,Wuhan University,Wuhan.PREDICTION OF CREEP-RUPTURE STRENGTH OF WROUGHT Ni BASE SUPERALLOYS USING ARTIFICIAL NEURAL NETWORK[J].Acta Metallurgica Sinica,2003,39(12):1251-1254. |
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| Authors: | WANG Chunshui PENG Zhifang YU Yangyang
College of Power and Mechanical Engineering Wuhan University Wuhan |
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| Affiliation: | WANG Chunshui,PENG Zhifang,YU Yangyang
College of Power and Mechanical Engineering,Wuhan University,Wuhan 430072 |
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| Abstract: | Algorithm weight matrixes to accurately express the complex non-linear relationships of creep-rupture strength with testing temperature, time and alloy compositions were obtained by using the back-propagation neural network modeling based on the actual alloy compositions and creep-rupture strength at different temperatures and times for wrought Ni-base superalloys. The results show that the predicted creep-rupture strength data are in good agreement with ones for the given experimental conditions. The accuracy and applicability for the present neural network modeling are thus verified. |
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| Keywords: | wrought Ni-base superalloy artificial neural network creep-rupture strength |
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