SMS Siemag BOF process model:Stable and optimized performance under suboptimal conditions
- 作者：Axel HofmannJan ReichelSergey LoginovSatyajit Das
- 会议时间：2013-06-01
- 关键词：BOF ; process model ; basic oxygen furnace ; critical point ; dynamical decarburization ; automation ; duplex process
- 作者单位：Axel Hofmann(Deputy General Manager Process Models Metallurgical Plants/ Continuous Casters,SMS Siemag AG,Germany)Jan Reichel(Senior Departmental Specialist BOF and Secondary Metallurgy,SMS Siemag AG,Germany)Sergey Loginov(Process Engineer EAF/ Converters,SMS Siemag AG,Germany)Satyajit Das(General Manager Metallurgy,SMS India Pvt. Ltd.,India)
- 母体文献：第五届宝钢学术年会论文集
- 会议名称：第五届宝钢学术年会
- 会议地点：上海
- 主办单位：中国金属学会
- 语种：chi
摘要
Automation in the steel industry has played a crucial role in enhancing safety and productivity as well as in facilitating the steelmaking operation.For proper functioning of the Level 2 model,the variation in the input conditions should be minimal.But this is actually very difficult to achieve as most of the steel plants have very high fluctuations in their input conditions,such as hot metal weight and chemistry,scrap type and chemistry,flux and coolant chemistry.These conditions may vary on a heat to heat basis and in some steel plants some of the important parameters are not known.This paper studies the effect of the input conditions on the end-of-blow result,for example errors in hot metal weight and carbon analysis.Trials were performed in steel plants to see the actual conditions and the model was tuned to negate the errors as far as possible.Emphasis was made on a correction calculation based on an in-blow measurement and the detection of the end of blow via waste gas analysis to achieve the carbon and temperature aim.