IMR OpenIR
Applications and studies on artificial neural network model for mechanical properties deposited metals
Xue, XH; Qian, BN; Yu, SF; Guo, XM; Yang, K; Zi, BT
通讯作者Xue, XH()
2001-09-18
发表期刊ACTA METALLURGICA SINICA
ISSN0412-1961
卷号37期号:9页码:947-951
摘要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 experimental 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.
关键词artificial neural network deposited metal mechanical property alloyed element
收录类别SCI
语种英语
WOS研究方向Metallurgy & Metallurgical Engineering
WOS类目Metallurgy & Metallurgical Engineering
WOS记录号WOS:000172767200011
出版者SCIENCE CHINA PRESS
引用统计
文献类型期刊论文
条目标识符http://ir.imr.ac.cn/handle/321006/111695
专题中国科学院金属研究所
通讯作者Xue, XH
作者单位1.Chinese Acad Sci, Inst Met Res, Shenyang 110016, Peoples R China
2.Tsing Hua Univ, Dept Engn Mech, Beijing 100084, Peoples R China
推荐引用方式
GB/T 7714
Xue, XH,Qian, BN,Yu, SF,et al. Applications and studies on artificial neural network model for mechanical properties deposited metals[J]. ACTA METALLURGICA SINICA,2001,37(9):947-951.
APA Xue, XH,Qian, BN,Yu, SF,Guo, XM,Yang, K,&Zi, BT.(2001).Applications and studies on artificial neural network model for mechanical properties deposited metals.ACTA METALLURGICA SINICA,37(9),947-951.
MLA Xue, XH,et al."Applications and studies on artificial neural network model for mechanical properties deposited metals".ACTA METALLURGICA SINICA 37.9(2001):947-951.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xue, XH]的文章
[Qian, BN]的文章
[Yu, SF]的文章
百度学术
百度学术中相似的文章
[Xue, XH]的文章
[Qian, BN]的文章
[Yu, SF]的文章
必应学术
必应学术中相似的文章
[Xue, XH]的文章
[Qian, BN]的文章
[Yu, SF]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。