ANALYTICAL STUDY OF QUALITY INFLUENCE OF TITANOMAGNETITE RAW MATERIALS ON BLAST FURNACE INDICATORS

A short description of the mathematical models of blast-furnace  process and the estimation technique of metallurgical characteristics  quantitative influence of iron ore raw materials and coke on technical  and economic indicators of blast furnace smelting developed at Institute of metallurgy of Ural Branch of the Russian Academy of Sciences  are provided. Features of these mathematical models are the main: for  a complex of mathematical models – two-regularity of blast-furnace  process put at a problem definition for balance logic-statistical model  –  possibility of the accounting of metallurgical characteristics of iron ore  raw materials (agglomerate and pellets) in analysis of the blast furnace smelting phenomena. The original estimation procedure of influence of quality characteristics of iron ore raw materials and coke on  technical and economic indices of blast furnace smelting is described.  The essence of this procedure consists in the following: examination  in vitro the metallurgical characteristics of iron ore raw materials (reducibility, strength, softening and melting temperatures), definition  by means of mathematical models of technical and economic indices  of blast furnace smelting, carrying out trial and industrial trials. Effects of examination of influence of basicity of industrial agglomerate  from titanomagnetite concentrate on technical and economic indices  of blast furnace smelting are given. The results of literary and one’s  examinations on detection of the stabilized phase of two-calcic silicate  SFCA are provided. The understanding of shaping mechanisms of such  phases can lead of efficiency increase of industrial sintering processes.  The micro X-ray diffraction analysis by raster-type electron microscope (Scanning Electron Microscope, SEM) JSM-5900LM has been  carried out to study of mineralogical composition of the agglomerates.  Existence of particular correlation of agglomerate phase composition  and its hot strength was revealed. According to the calculations with  the use of mathematical model such rise of agglomerate hot strength  can give economy of coke about 3.9 kg/t of cast iron and efficiency  rise about 6.3 %. The influence estimation of chemical composition  of blast furnace charge was fulfilled taking into account the degree of  iron reduction on location and the shape of cohesion zone in the blast  furnace. For the calculation, predictive physico-chemical models have  been used that allow to take into account the influence of the chemical  composition of iron-ore materials and their ratios on the softening and  melting temperatures of the agglomerated iron-ore material from the  titanomagnetite concentrate.

 blast-furnace process,  mathematical model,  titaniferous magnetite,  iron ore raw materials,  metallurgical characteristics,  coke consumption,  practical tasks

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