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Content available remote Models using in metallurgical process management
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The paper presents the possibilities of the application of different models for blast furnace operation management: thermodynamic and kinetic models and also coke degradation model. Thermodynamic and kinetic approaches in modelling metallurgical processes form are necessary basis for continuous analysis of the conditions under which the evaluated iron technology can actually work while achieving the highest productivity. They can be also useful for estimating of maximal rate of auxiliary fuels in specific conditions of the blast furnace iron making, what can help to optimize the cost of fuels. The aim of the article is to present the possibility of reducing the costs of pig iron production using models, especially the coke degradation model, which was used for Czech conditions. The model was developed in two options: a regressive non-linear statistical model, and a selflearning neuron network. Subsequently, both predictive model variants are compared.
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