煉鋼廠連鑄鋼水溫度預報模型

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煉鋼廠連鑄鋼水溫度預報模型

曹永國, 楊守禮, 李頂宜

文章導航 > 工程科學學報 > 1997 > 19(2): 125-129

曹永國, 楊守禮, 李頂宜. 煉鋼廠連鑄鋼水溫度預報模型[J]. 工程科學學報, 1997, 19(2): 125-129. doi: 10.13374/j.issn1001-053x.1997.02.001

引用本文:

曹永國, 楊守禮, 李頂宜. 煉鋼廠連鑄鋼水溫度預報模型[J]. 工程科學學報, 1997, 19(2): 125-129. doi: 10.13374/j.issn1001-053x.1997.02.001

Cao Yongguo, Yang Shouli, Li Dingyi. Mathematical Model for Forecasting Temperature of Molten Steel during the Continuous Casting Process[J]. Chinese Journal of Engineering, 1997, 19(2): 125-129. doi: 10.13374/j.issn1001-053x.1997.02.001

Citation:

Cao Yongguo, Yang Shouli, Li Dingyi. Mathematical Model for Forecasting Temperature of Molten Steel during the Continuous Casting Process[J]. Chinese Journal of Engineering, 1997, 19(2): 125-129. doi: 10.13374/j.issn1001-053x.1997.02.001

曹永國, 楊守禮, 李頂宜. 煉鋼廠連鑄鋼水溫度預報模型[J]. 工程科學學報, 1997, 19(2): 125-129. doi: 10.13374/j.issn1001-053x.1997.02.001

引用本文:

曹永國, 楊守禮, 李頂宜. 煉鋼廠連鑄鋼水溫度預報模型[J]. 工程科學學報, 1997, 19(2): 125-129. doi: 10.13374/j.issn1001-053x.1997.02.001

Cao Yongguo, Yang Shouli, Li Dingyi. Mathematical Model for Forecasting Temperature of Molten Steel during the Continuous Casting Process[J]. Chinese Journal of Engineering, 1997, 19(2): 125-129. doi: 10.13374/j.issn1001-053x.1997.02.001

Citation:

Cao Yongguo, Yang Shouli, Li Dingyi. Mathematical Model for Forecasting Temperature of Molten Steel during the Continuous Casting Process[J]. Chinese Journal of Engineering, 1997, 19(2): 125-129. doi: 10.13374/j.issn1001-053x.1997.02.001

煉鋼廠連鑄鋼水溫度預報模型

doi: 10.13374/j.issn1001-053x.1997.02.001

1. 北京科技大學冶金學院, 北京 100083;
2. 鋼鐵研究總院, 北京 100081

作者簡介:
曹永國男 30歲碩士

中圖分類號: TF777.1
計量
- 文章訪問數: 225
- HTML全文瀏覽量: 69
- PDF下載量: 11
- 被引次數: 0
出版歷程
- 收稿日期: 1996-03-25
- 網絡出版日期: 2021-08-27

Mathematical Model for Forecasting Temperature of Molten Steel during the Continuous Casting Process

1. Metallurgy School, UST Beijing, Beijing 100083, China;
2. Central Institute of Iron and Steel Research

摘要: 應用神經網絡建立連鑄鋼水溫度預報模型，重點研究了轉爐出鋼到中間包澆鑄區間的溫度變化，確定鋼水溫降與其影響因素之間的非線性映射關系.本模型能較準確地預報連鑄鋼水溫度
- 鋼水溫度 /
- 神經網絡 /
- 預報
Abstract: The regularity of liquid steel temperature during BOF tapping to the tundish process was studied. With the neural network theory, a mathematical model for forecasting the temperature change of molten steel and its non-lineal functional relations with the influencing factors during CC have been established. With this model, the steel temperature in the CC process can be predicted more correctly.
- liquid steel temperature /
- neural network /
- forecast

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文章訪問數: 225
HTML全文瀏覽量: 69
PDF下載量: 11
被引次數: 0

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