Statistical Assessment of Coal Charge Effect on Metallurgical Coke Quality

The paper studies coke quality. Blast furnace technique has been interested in iron ore charge; meanwhile coke was not studied because in those previous conditions seemed to be good enough. Nowadays, the requirements for blast furnace coke has risen, especially, requirements for coke reactivity [1]. The level of reactivity parameter is determined primarily by the composition and properties of coal mixtures for coking. The paper deals with a statistical analysis of the tightness and characteristics of the relationship between selected properties of coal mixture and coke reactivity. Software Statgraphic using both simple linear regression and multiple linear regressions was used for the calculations. Obtained regression equations provide a statistically significant prediction of the reactivity of coke, or its strength after reduction of CO2, and thus their subsequent management by change in composition and properties of coal mixture [2]. There were deter-mined indexes CSR/CRI for coke [3]. Fifty – four results were acquired in the experimental parts where correlation between index CRI and coal components were studied. For linear regresion the determinant was 55.0204%, between parameters CRI – Inertinit 21.5873%. For regression between CRI and coal components it was 31.03%. For multiply linear regression between CRI and 3 feedstock components determinant was 34.0691%. Final correlation has shown the decrease in final coke reactivity for higher ash, higher content of volatile combustible in coal increases the total coke reactivity and higher amount of inertinit in coal increases the reactivity. Generally, coke quality is significantly affected by coal processing, carbonization and maceral content of coal mixture