Forecast Of AOD Converter Lining Thickness And Longevity Based On The Surface Temperature Of AOD Convert

Argon Oxygen Decarburization (AOD converter for short) converter is the most popular container for stainless steelmaking when in the refining of steel at present. As the increasing demand for stainless steel products, the AOD converter also become more and more important. Compared with the traditional steelmaking converter, AOD converter life cycle is much lower, and now there is no mature detection technology for AOD converter lining thickness detection at home, the lining life of AOD converter is mostly judged on experience of workers. Therefore, the problem of estimating the lining life of AOD converter accurately, reducing the waste of lining material, saving the production cost also receives a lot of attention of metallurgical enterprises. Based on the actual demand and site investigation, we mean to estimate the lining life of AOD converter and lining thickness of AOD converter through the furnace surface temperature captured by infrared thermal imager. The full text is composed of the following several parts:The first chapter mainly narrates the research background and enterprise requirements, and in this part, several commonly used techniques which is used to detect the lining thickness of the metallurgical furnace are briefly introduced. After the considering the actual production condition of AOD converter and feasibility analysis of several scheme, we puts forward the lining thickness and lining life forecast scheme of AOD converter.The second chapter recommends the basic composition of AOD converter, several key factors that affecting the lining life, and the lining erosion characteristics of AOD converter for different parts and different smelting period.The third chapter mainly narrates the thermal simulation process of a concrete AOD converter, and through the simulation we get the qualitative relationship between the lining thickness and furnace surface temperature. The simulation result provides experimental basis for further research.The fourth chapter is mainly about an important algorithm used in the forecast model for the prediction of AOD converter lining thickness and lining life. Meanwhile, it expounds the basic concepts and structure of the algorithm technology.On the basis of the simulation analysis shown in the third chapter, the fifth chapter assumes that the pitting of lining is linear and homogeneous. Then, it establishes the prediction model for AOD converter lining thickness and lining life prediction through the homogenization assumption. With furnace surface temperature data captured by infrared thermal imager, we validate the reliability of the model. When the reliability of prediction model is confirmed, then we put forward the concept of normalization processing, which expanding the scope of the forecast model and making it work well in some abnormal production conditions.The sixth chapter is a summary of full text, briefly reviewing the main content of the paper, and providing some advice on the further research of the subject.