Abstract:Sintering is an important production process in iron and steel metallurgy. Carbon fuel consumption accounts for about 80% of the total energy consumption in the sintering process. To enhance the efficiency of carbon fuel consumption, we need to determine the factors affecting carbon efficiency and build a model of it. In this paper, the CO/CO 2 is taken to be a measure of carbon efficiency, and a cascade predictive model is built to predict it. This model has two parts: the key state parameter submodel and the… Show more
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