| 熔敷金属力学性能人工神经网络预测法的应用 |
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| 引用本文： | 薛小怀,钱百年,于少飞,国旭明,杨柯,訾炳涛. 熔敷金属力学性能人工神经网络预测法的应用[J]. 金属学报, 2001, 37(9): 947-951 |
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| 作者姓名： | 薛小怀 钱百年 于少飞 国旭明 杨柯 訾炳涛 |
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| 作者单位： | 1. 中国科学院金属研究所,沈阳,110016
2. 清华大学机械工程系,北京,100084 |
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| 基金项目： | 国家973基金资助项目 G1998061511 |
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| 摘 要： | 在实测样本的基础上，用人工神经网络建立了熔敷金属力学性能的预测模型。该模型预测的结果同实验值之间有很好的对应关系。利用该模型研究了杂质元素S，P，O，N和合金元素C，Mn,Ti对熔敷金属低温韧性的影响，并采用正交实验的方法得出了较佳的熔敷金属化学成分。本文的研究为熔敷金属力学性能的设计和控制提供了有效的途径。
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| 关 键 词： | 人工神经网络 熔敷金属 力学性能 合金元素 预测 焊缝金属 |
| 文章编号： | 0412-1961(2001)09-0947-05 |
| 修稿时间： | 2000-11-20 |
APPLICATIONS AND STUDIES ON ARTIFICIAL NEURAL NETWORK MODEL FOR MECHANICAL PROPERTIES DEPOSITED METALS |
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| XUE Xiaohuai,QIAN Bainian,YU Shaofei,GUO Xuming,YANG Ke Institute of Metal Research,The Chinese Academy of Sciences,Shenyang ZI Bingtao. APPLICATIONS AND STUDIES ON ARTIFICIAL NEURAL NETWORK MODEL FOR MECHANICAL PROPERTIES DEPOSITED METALS[J]. Acta Metallurgica Sinica, 2001, 37(9): 947-951 |
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| Authors: | XUE Xiaohuai QIAN Bainian YU Shaofei GUO Xuming YANG Ke Institute of Metal Research The Chinese Academy of Sciences Shenyang ZI Bingtao |
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| Affiliation: | XUE Xiaohuai,QIAN Bainian,YU Shaofei,GUO Xuming,YANG Ke Institute of Metal Research,The Chinese Academy of Sciences,Shenyang 110016 ZI Bingtao Department of Mechanical Engineering,Tsinghua University,Beijing 100084 Correspondent: XUE Xaohuai,Tel: |
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| Abstract: | A mechanical property prediction model for deposited metals was built upon the experimental data with the aid of artificial neural network (ANN). There are good correlations between the predicted results and the experimeotal data. Using this prediction model, the effects of alloying elements C, Mn, Ti and impurity elements S, P, O, N on the low temperature toughness of deposited metals were studied, and by using orthogonal designed experiment, a good chemical constitution for deposited metal was obtained. The technique proposed can be served as a reliable tool for deposited metals property control and design. |
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| Keywords: | artificial neural network deposited metal mechanical property alloyed element |
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