| 人工神经网络在高强高韧性管线钢埋弧焊丝研制中的应用 |
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| 引用本文： | 薛小怀,吴鲁海,楼松年,钱百年,于少飞.人工神经网络在高强高韧性管线钢埋弧焊丝研制中的应用[J].电焊机,2004,34(7):8-10. |
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| 作者姓名： | 薛小怀 吴鲁海 楼松年 钱百年 于少飞 |
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| 作者单位： | 1. 上海交通大学,材料科学与工程学院,上海,200030
2. 中国科学院,金属研究所,辽宁,沈阳,110016 |
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| 基金项目： | 国家973基金资助项目(G1998061511) |
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| 摘 要： | 在试验的基础上，用人工神经网络建立了高强高韧性管线钢埋孤焊熔敷金属力学性能的预测模型。该模型预测的结果与试验值之间有很好的对应关系。模型的研究为熔敷金属力学的成分、性能设计和控制提供了有效的手段。
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| 关 键 词： | 管线钢 埋孤焊 熔敷金属 人工神经网络 力学性能 |
| 文章编号： | 1001-2303(2004)07-0008-03 |
Application of artificial neural network at development of SAW wire for high strength and high toughness of pipeline steel |
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| Xue xiao-huai,wu lu-hai,lou song-nian,qian bai-nian,yu shao-fei.Application of artificial neural network at development of SAW wire for high strength and high toughness of pipeline steel[J].Electric Welding Machine,2004,34(7):8-10. |
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| Authors: | Xue xiao-huai wu lu-hai lou song-nian qian bai-nian yu shao-fei |
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| Affiliation: | Xue xiao-huai,wu lu-hai1,lou song-nian1,qian bai-nian2,yu shao-fei2 |
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| Abstract: | a mechanical property of deposition metal prediction model for submerged arc welding high strength and toughness pipeline steels was established upon the experimental data with the aid of artificial neural network(ann).there are good correlations betweenThe predicted results and the experimental datas.researches in this model provide a reliable means for deposition metal control and design. |
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| Keywords: | pipeline steel submerged arc welding deposition metals artificial neural network mechanical property |
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