Title :
Research on Relationship Model of Dephosphorization Efficiency and Slag Basicity Based on Support Vector Machine
Author :
Qiu Dong ; Fu Ying-ying ; Zhang Nan ; Zhao Chen-xu
Author_Institution :
Dept. of Electr. & Electron. Eng., Changchun Univ. of Technol., Changchun, China
Abstract :
In the Argon Oxygen (Argon Oxygen Decarburization, AOD method) refining medium and low carbon ferrochrome process, the slag basicity is one of the important factors affecting the product quality and energy consumption. Appropriate slag basicity can quickly remove impurities such as sulfur and phosphorus in the liquid steel, and also can reduce the furnace lining erosion degree, reducing the consumption of refractory material at the same time. However, it is difficult to obtain accurate continuous detection information of slag basicity because the smelting ferroalloys, is a very complex nonlinear multivariate polyphase under high temperature condition of physical and chemical reaction process and there are many uncertain factors. The relationship model between the slag basicity and the dephosphorization efficiency was established in the paper based on thermodynamics analysis on dephosphorization process of the AOD low carbon process, using support vector machine (SVM), whose relative error was within 5%, which have a very important significance of improving the dephosphorization efficiency of AOD and solving the problem of high phosphorus content.
Keywords :
chemical reactions; furnaces; linings; liquid metals; pH; product quality; production engineering computing; refining; refractories; slag; smelting; steel; support vector machines; AOD dephosphorization efficiency improvement; AOD low-carbon process; SVM; argon oxygen decarburization method; carbon ferrochrome process; chemical reaction process; complex nonlinear multivariate polyphase; continuous information detection; dephosphorization process; energy consumption; ferroalloy smelting; furnace lining erosion degree reduction; high-temperature condition; liquid steel; phosphorus content; phosphorus impurity removal; physical reaction process; product quality; refining medium; refractory material consumption reduction; relationship model; relative error; slag basicity; sulfur impurity removal; support vector machine; thermodynamics analysis; uncertain factors; Carbon; Furnaces; Refining; Slag; Steel; Support vector machines; dephosphorization; slag basicity; support vector machine;
Conference_Titel :
Mechanical and Automation Engineering (MAEE), 2013 International Conference on
Conference_Location :
Jiujang
DOI :
10.1109/MAEE.2013.54