| BP神经网络预测铝合金应力松弛量研究 |
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| 引用本文： | 甘忠,成武冬,许旭东,潘栋杰. BP神经网络预测铝合金应力松弛量研究[J]. 兵器材料科学与工程, 2009, 32(2) |
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| 作者姓名： | 甘忠 成武冬 许旭东 潘栋杰 |
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| 作者单位： | 1. 西北工业大学现代设计与集成制造技术教育部重点实验室,陕西,西安,710072
2. 成都飞机工业,集团,公司制造工程部,四川,成都,610000 |
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| 摘 要： | 设计2124铝合金单向拉伸时效成形试验(应力松弛试验),研究试验件单向拉伸时,初始应力水平(σ0)、时效温度(T)、保温时间(t)3因素对试验件应力松弛量(p/%)的影响。将试验数据作为训练样本,建立单拉应力松弛试验BP神经网络模型以预测不同工艺条件下的应力松弛量,并通过追加试验数据对该神经网络模型进行检验。检验结果表明:应用该神经网络模型来预测不同因素下试件应力松弛量精度满足试验预期要求。
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| 关 键 词： | 时效成形 铝合金 应力松弛 正交试验 BP神经网络 |
Research on the stress relaxation amount of aluminum alloy by BP neural network |
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| GAN Zhong,CHENG Wudong,XU Xudong,PAN Dongjie. Research on the stress relaxation amount of aluminum alloy by BP neural network[J]. Ordnance Material Science and Engineering, 2009, 32(2) |
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| Authors: | GAN Zhong CHENG Wudong XU Xudong PAN Dongjie |
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| Abstract: | Effect of initial stress(σ0),aging temperature(T) and holding time(t) on stress relaxation quantity in uniaxial tensile test which is designed by this study is studied. By using experimental data as training specimens, BP Neural Network model of uniaxial tensile stress relaxation test is established and verified by superadditional experimental data. The result shows that the prediction of the quantity of relaxation stress under different situation satisfies the study expectation. |
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| Keywords: | age forming aluminum alloy stress relaxation orthogonal test BP neural network |
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