STUDY OF THE IMPACT OF OPERATIONAL PARAMETERS ON PRODUCTION OF HOT METAL IN A BLAST FURNACE

The study made in this paper, is to analyze the Blast Furnace parameters based on Hybrid multi-criteria decision making approach. The analysis is important as the parameters cause the influence on the production process. The productivity as well as quality can be improved by knowing these parameters in advance. The present work examined is identification of various critical parameters of blast furnace in an integrated Steel Plant by utilizing Response Surface Method based on GRA integrated with PCA approach. GRA works like a discovery idea where known and obscure components are aggregated to get optimum level of the multiple responses. Breeze coke consumption, nut coke consumption, pulverized coal consumption, consumption of sinter, composite quality index of sinter plant, sized iron ore consumption, pellets consumption, Lime stone consumption, LD slag consumption, blast temperature, blast pressure, blast volume and oxygen enrichment are considered as Blast furnace operating parameters. Hot metal yield, % Si, %S, %P, %Mn, %CO2, %CO, %SOx, %NOx and PM are considered as the output variables. . The grey relation coefficients are subjected to principal component analysis to derive the principle component scores which represent the aggregated response of multiple output variables. Finally, response surface methodology is implemented by considering the input parameters of Blast Furnace as factors and PCA score as response to analyze the impact of input parameters on the Blast Furnace performance.