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	Quantitative analysis of Ni effect on CCT diagrams of novel air-cooled bainite steels using artificial neural network models
	Xu, WH ; You, W ; Liu, YX ; Bai, BZ ; Fang, HS
	2010-05-10 ; 2010-05-10 ; OCT
关键词	novel air-cooled bainite steels nickel CCT diagrams artificial neural network Materials Science, Multidisciplinary Metallurgy & Metallurgical Engineering Mining & Mineral Processing
中文摘要	The quantitative effect of Ni content on continuous cooling transformation (CCT) diagrams of novel air-cooled bainite steels was analyzed using artificial neural network models. The results showed that Ni may retard the high- and medium-temperature transformation and martensite transformation. The results conform to the materials science theories.
语种	英语 ; 英语
出版者	JOURNAL OF UNIV OF SCIENCE AND TECHNOLOGY BEIJING ; BEIJING ; 30 XUEYUANLU, BEIJING 100083, PEOPLES R CHINA
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/20803]
专题	清华大学
推荐引用方式 GB/T 7714	Xu, WH,You, W,Liu, YX,et al. Quantitative analysis of Ni effect on CCT diagrams of novel air-cooled bainite steels using artificial neural network models[J],2010, 2010, OCT.
APA	Xu, WH,You, W,Liu, YX,Bai, BZ,&Fang, HS.(2010).Quantitative analysis of Ni effect on CCT diagrams of novel air-cooled bainite steels using artificial neural network models..
MLA	Xu, WH,et al."Quantitative analysis of Ni effect on CCT diagrams of novel air-cooled bainite steels using artificial neural network models".(2010).

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