Abstract
A problem of estimating the velocity of subsidence of a column of charge materials using non-contact methods was considered. This is important because the level of furnace charge materials and the velocity of their subsidence are main indicators of melting intensity determining the furnace productivity. The design of a blast furnace and its blast path were described and existing methods and means of controlling the velocity of charge materials in the blast furnace were analyzed. A mathematical model was presented for estimating the velocity of subsidence of charge materials in a blast furnace based on the magnitude and fluctuations of gas pressure along the furnace shaft height. The model is based on the fact that the furnace gases rise up in the furnace shaft through elementary channels in the column of charge materials consisting of a combination of capacitances and resistances. Volume of capacities and values of resistance of elementary channels are constantly changing. This changes hydraulic resistance to gas movement in the blast furnace. The system of differential equations describes the dependence of the amplitude of pressure fluctuations on the amplitude of change in coefficients of resistance and frequency of pressure fluctuations on the frequency of change in coefficients of resistance. The experimental data on velocity of the column of charge materials and fluctuations in the pressure differential in the furnace were processed and their significant relationship was shown to confirm the previous theoretical study results. To assess the model adequacy, the simulation method was used. The results of the simulation model work were confirmed by experimental data. The developed mathematical model can be introduced into production. This will make it more economical and safer through better and more predictable control and improved flexibility in operation under different production conditions.
Highlights
Blast furnace (BF) is a unit for smelting cast iron which is an alloy of iron and carbon, Fig. 1
It follows from the above analysis that in relation to existing methods and means of controlling the speed of movement of charge materials in a blast furnace, there are problems associated with the complexity of technical implementation, insufficient accuracy, and substantial operating costs
The study objective consisted in developing a mathematical model for estimating the velocity of subsidence of charge materials in a blast furnace based on the magnitude and fluctuation of gas pressure along the furnace shaft height
Summary
Blast furnace (BF) is a unit for smelting cast iron which is an alloy of iron and carbon, Fig. 1. A attention to methods and means of controlling the charge 2D model of a blast furnace taking into account non-mixed subsidence velocity. They use various experimental data and analytics tools such as artificial neural networks (ANN), principal component analysis (PCA), least square method (LSM), machine learning algorithms (MLA) to classify data Combinations of such models with fuzzy logic were used to develop expert systems for predictive control and advanced non-linear optimization procedures (genetic algorithms, GA) are used to solve multi-parameter problems of optimization, e. It follows from the above analysis that in relation to existing methods and means of controlling the speed of movement of charge materials in a blast furnace, there are problems associated with the complexity of technical implementation, insufficient accuracy, and substantial operating costs. There is a need to develop simpler and preferably non-contact methods for monitoring the charge subsidence velocity
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