| 人工神经网络在材料设计中的应用 |
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| 引用本文： | 张国英,刘贵立.人工神经网络在材料设计中的应用[J].材料科学与工艺,1999,7(3):93-96. |
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| 作者姓名： | 张国英 刘贵立 |
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| 作者单位： | 东北大学电子系!辽宁沈阳110023沈阳工业大学，辽宁沈阳110023，沈阳工业大学!辽宁沈阳110023，东北大学电子系!辽宁沈阳110023，东北大学电子系!辽宁沈阳110023，东北大学电子系!辽宁沈阳110023 |
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| 摘 要： | 在实验数据的基础上，利用人工神经网络建立高Ｃｏ－ Ｎｉ 二次硬化钢的力学性能与合金成分及热处理温度对应关系的模型． 首次提出将五个材料力学性能指标及部分合金成分作为网络的输入，其它合金成分和热处理温度作为网络的输出，根据要求的力学性能设计材料的合金成分含量及热处理条件，获得了满意的结果，为高性能材料设计提供了一定的理论辅助手段．
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| 关 键 词： | 高Co-Ni二次硬化钢 人工神经网络 材料设计 |
Application of artificial neural network in design of steel |
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| ZHANG Guo ying ,LIU Gui li ,ZHENG Mei guang ,QIAN Chun fu ,GENG Ping.Application of artificial neural network in design of steel[J].Materials Science and Technology,1999,7(3):93-96. |
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| Authors: | ZHANG Guo ying LIU Gui li ZHENG Mei guang QIAN Chun fu GENG Ping |
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| Affiliation: | ZHANG Guo ying 1,2,LIU Gui li 2,ZHENG Mei guang 1,QIAN Chun fu 1,GENG Ping 1) |
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| Abstract: | From experiment data, artificial neural network is used to build a model for the relationship between the mechanical properties and alloy elements in high Co Ni secondary hardening steel as well as the temperature of heat treatment. A new method is proposed to train the neural network, that is, the five mechanical properties of steal and partial alloy elements are used as the inputs of network and other alloy elements and temperature of heat treatment are used as outputs of network. According to the requirements for mechanical properties, content of alloy elements and the condition of heat treatment are desigued. |
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| Keywords: | secondary hardening steel artificial neural network design of material |
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