The problem of influence of sinter production technological factors on silicon content and particularly variations of Si (ΔSi) in hot metal is actual for the up-to-date metallurgy.Traditional methods and plans of studies of BF heat running at present are considered less precise and effective comparing with up-to-date methods of mathematical and computer simulation, since the last provide an ability to forecast and optimize numerous parameters of BF process.A complex mathematical analysis of dependence between hot blast temperature and ΔSi by application of the universal mathematical model, specially elaborated and adapted for industrial conditions of sinter plant operation of Alchevsk steel-works was the task of the study.Influence of hot blast temperature (X-Factory) on minimization of ΔSi (Y-Factory) studied. Complex mathematical analysis was carried out using statistical data collected during 65 months of Alchevsk steel-works blast furnace of 3000 m3 operation. Results of calculation of influence of hot blast temperature on ΔSi by application of the universal mathematical model presented. Minimization of ΔSi when optimizing hot blast temperature reached. Accuracy of calculation using the elaborated model was more 99% of actual operational statistic.
Grain drying with chain coalfired hot blast stove for temperature stable and economic operation.Boiler control objects with strong coupling, large delay, large inertia characteristics.Fuzzy control on object for low, fast response and predict advanced features. Design the fuzzy predictive controller for chain coalfired hot blast stove temperature control.The test results show that the fuzzy predictive control system is improved effectively the static precision and dynamic characteristic.Fuzzy predictive control for large delay system has better practicability.
Mathematical simulation of BF hot blast temperature influence on variations of silicon content in hot metal