The Steady-state Model of Heating Process in Horizontal Continuous Annealing Furnace
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作者:
Zhou, Gang
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Univ Sci & Technol Beijing, Beijing 100083, Peoples R ChinaUniv Sci & Technol Beijing, Beijing 100083, Peoples R China
Zhou, Gang
[1
]
Wen, Zhi
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Univ Sci & Technol Beijing, Beijing 100083, Peoples R ChinaUniv Sci & Technol Beijing, Beijing 100083, Peoples R China
Wen, Zhi
[1
]
Dou, Ruifeng
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Univ Sci & Technol Beijing, Beijing 100083, Peoples R ChinaUniv Sci & Technol Beijing, Beijing 100083, Peoples R China
Dou, Ruifeng
[1
]
Su, Fuyong
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Univ Sci & Technol Beijing, Beijing 100083, Peoples R ChinaUniv Sci & Technol Beijing, Beijing 100083, Peoples R China
Su, Fuyong
[1
]
Fang, Xu
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Univ Sci & Technol Beijing, Beijing 100083, Peoples R ChinaUniv Sci & Technol Beijing, Beijing 100083, Peoples R China
Fang, Xu
[1
]
Zhuang, Weiqi
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机构:
Baoshan Iron & Steel Co Ltd, Stainless steel multi Div, Shanghai 200431, Peoples R ChinaUniv Sci & Technol Beijing, Beijing 100083, Peoples R China
Zhuang, Weiqi
[2
]
Cao, Yong
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机构:
Baoshan Iron & Steel Co Ltd, Stainless steel multi Div, Shanghai 200431, Peoples R ChinaUniv Sci & Technol Beijing, Beijing 100083, Peoples R China
Cao, Yong
[2
]
机构:
[1] Univ Sci & Technol Beijing, Beijing 100083, Peoples R China
[2] Baoshan Iron & Steel Co Ltd, Stainless steel multi Div, Shanghai 200431, Peoples R China
来源:
FUNDAMENTAL OF CHEMICAL ENGINEERING, PTS 1-3
|
2011年
/
233-235卷
The continuous annealing process of strip steel is aimed to archive the required physical and mechanical properties. During this process, strip temperature is of great importance for controlling metallurgical transformation and grain size. This paper describes the modeling of the heating process in a horizontal annealing furnace used for producing stainless steel. The steady-state model is designed to predict strip temperature in the heating section, so it can simulate the annealing process of new varieties of steel never been produces. The strip temperatures predicted by model well correspond to the field data. This confirms the correctness and accuracy of the model.