Abstract
Numerical prediction is performed on the reduction of wüstite under simulated blast furnace conditions using factorial design approach. Wüstite sinter samples with different basicity (0.5, 1.0, and 2.0) are reduced with a gas mixture consisting of 30% CO, 10% H2, 5% CO2, and 55% N2 at 950–1100°C. In all cases, the reduction degree of wüstite increased with basicity and temperature. A 23 factorial design is applied to derive a regression model based on the experimental data of acidic (CaO/SiO2 = 0.5) and basic (CaO/SiO2 = 2.0) wüstite which is reduced at 950°C and 1100°C for 5 and 35 min. The developed mathematical model is applied to predict the reduction degree of wüstite at different basicity (0.5, 1.0, and 2.0), interval of time (5–35 min), and temperatures (950, 1000, 1050°C, and 1100°C). In general, the results of the driven models are found to be in good agreement with the experimental data of reduction of wüstite in many cases. The MATLAB program is used to carry out the required calculations.
Highlights
The use of mathematical models in the experimental analysis has increased over the years due to its efficiency in explaining, predicting, and controlling the processes [1]
The current factorial design is built on the experimental data of wustite sinter which has different basicity (CaO/SiO2: 0.5, 1.0, and 2.0) and reduced with simulated blast furnace shaft gas (30% CO; 10% H2; 5% CO2; 55% N2) at 950–1100∘C
The highest reduction degree and reduction rate are exhibited in basic wustite sinter (B = CaO/SiO2 = 2.0) followed by neutral wustite sinter (B = CaO/SiO2 = 1.0) and Automatic sensitive balance (B)
Summary
The use of mathematical models in the experimental analysis has increased over the years due to its efficiency in explaining, predicting, and controlling the processes [1]. The effective magnitude of these factors either individually or collectively on the reduction rate of wustite sinter is still not clear This can be carried out by the application of statistical factorial design approach which has several advantages in highlighting the effect of individual variables and their relative importance on the reduction process [12, 13]. A 23 factorial design is used to precisely estimate the individual and mutual interactions of three main parameters including basicity, interval of time, and temperature on the reduction rate of wustite sinter. The current factorial design is built on the experimental data of wustite sinter which has different basicity (CaO/SiO2: 0.5, 1.0, and 2.0) and reduced with simulated blast furnace shaft gas (30% CO; 10% H2; 5% CO2; 55% N2) at 950–1100∘C.
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