Dynamic Prediction Model of Silicon Content in Molten Iron Based on Comprehensive Characterization of Furnace Temperature
Abstract
:1. Introduction
2. Mechanistic Research
2.1. Relevant Response Studies
2.1.1. Silicon Content of Iron
2.1.2. Theoretical Combustion Temperature
2.1.3. Breathability Index
2.1.4. The Reduction Behavior of H2
2.2. Classification of the Furnace Parameters
2.3. Coupling of Furnace Temperature Parameters
2.4. Parameter Regulation
3. Model Building
3.1. Data Pre-Processing
3.1.1. Data Deletion
3.1.2. Data Addition
3.2. Data Reduction and Restructuring
3.2.1. Mutual Information Feature Selection Based on Maximum Correlation-Minimum Redundancy
3.2.2. Data Restructuring for Grey Correlation Analysis Based on Equilibrium Proximity
3.3. Representation Parameter Network Construction
3.4. Dynamic Furnace Temperature Prediction
3.5. Real-Time Regulation of Control Parameters
4. Analysis of Results
4.1. Data Processing
4.2. Parameter Set Division
4.3. Dynamic Prediction of Silicon Content in Iron
4.4. Real-Time Regulation of Control Parameters
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Ingredient | FeO | MgO | CaO | SiO2 | TFe |
---|---|---|---|---|---|
Sinter | 9.65 | 4.21 | 5.78 | 4.96 | 56.23 |
pellets | 2.33 | 1.35 | 2.45 | 9.65 | 57.26 |
Ingredient | MgO | CaO | SiO2 | AL2O3 |
---|---|---|---|---|
coke | 0.41 | 5.36 | 29.15 | 39.62 |
Parameters | Furnace Belly Gas Volume | Breathability Index | Furnace Top Pressure | Theoretical Combustion Temperature | Oxygen Enrichment Rate |
---|---|---|---|---|---|
Coal injection volume | 0.6432 | 0.3687 | 0.2659 | 0.4215 | 0.4184 |
Hot blast temperature | 0.5370 | 0.2875 | 0.1040 | 0.6321 | 0.2521 |
Oxygen-enriched flow | 0.4248 | 0.4769 | 0.2350 | 0.2742 | 0.5387 |
Clinker ratio | 0.1753 | 0.1855 | 0.1258 | 0.0952 | 0.0561 |
Coke sulphur content | 0.0470 | 0.1332 | 0.1270 | 0.2064 | 0.2107 |
Coke ash | 0.4985 | 0.2623 | 0.0421 | 0.3168 | 0.3270 |
Nitrogen flow | 0.2158 | 0.2954 | 0.2693 | 0.1683 | 0.1646 |
Cold air flow | 0.3965 | 0.4637 | 0.3216 | 0.0264 | 0.1196 |
Hot air flow | 0.4125 | 0.5367 | 0.4270 | 0.4321 | 0.2942 |
Blast humidity | 0.4727 | 0.2689 | 0.1695 | 0.5637 | 0.1855 |
Blast temperature | 0.3352 | 0.2262 | 0.2064 | 0.6341 | 0.2320 |
Coke load | 0.3277 | 0.1373 | 0.1242 | 0.4074 | 0.3211 |
RMSE | MAE | MAPE | |
---|---|---|---|
SVR model | 0.1859 | 0.1473 | 0.2636 |
GWO-SVR model | 0.0994 | 0.0747 | 0.1252 |
Control Parameters | Parameter Variations | Molten Iron [Si] | Control Parameters | Parameter Variations | Molten Iron [Si] |
---|---|---|---|---|---|
Coal injection volume | Nitrogen flow | ||||
Hot blast temperature | 50 °C | Cold air flow | |||
Oxygen-enriched flow | Hot air flow | ||||
Clinker ratio | Blast humidity | ||||
Coke sulphur content | Blast temperature | 50 °C | |||
Coke ash | Coke load |
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Cui, Z.; Yang, A.; Wang, L.; Han, Y. Dynamic Prediction Model of Silicon Content in Molten Iron Based on Comprehensive Characterization of Furnace Temperature. Metals 2022, 12, 1403. https://doi.org/10.3390/met12091403
Cui Z, Yang A, Wang L, Han Y. Dynamic Prediction Model of Silicon Content in Molten Iron Based on Comprehensive Characterization of Furnace Temperature. Metals. 2022; 12(9):1403. https://doi.org/10.3390/met12091403
Chicago/Turabian StyleCui, Zeqian, Aimin Yang, Lijing Wang, and Yang Han. 2022. "Dynamic Prediction Model of Silicon Content in Molten Iron Based on Comprehensive Characterization of Furnace Temperature" Metals 12, no. 9: 1403. https://doi.org/10.3390/met12091403