Optimization Research on Converter Steelmaking Process Parameters Based on DOE

Abstract

The temperature and carbon content at blow end point should be controlled strictly during the BOF converter steelmaking process. Meanwhile many factors have impact on the temperature and carbon content at blow end point. These factors include initial weight of molten iron, initial weight of scrap steel, oxygen blow duration, the temperature and carbon content when lowering the sublance, as well as the weight of all kinds of addition reagents. In order to determine the optimized process parameters so as to reach the ideal temperature and carbon content at blow end point, this paper built a series of experiment programs based on DOE. According to the experiment programs, authors conducted these experiments with the help of RBF neural network and analyzed each parameters as well as some interactions impact on target. According to the statistical analysis results of experiment data (the SNR), authors extract significant factors and reached an optimized process parameters A3B3C2D1E1F3G2H3J2. According to the RBF neural network, the prediction error of carbon content and temperature is only 0.0063 and 0.0159 respectively. The result proves that DOE is an effective method in optimizing process parameters, and worth promoting and applying in converter steelmaking process.

Generalized Thermodynamic Optimization for Iron and Steel Production Processes: Theoretical Exploration and Application Cases

“…were 0.992 and 1.089 when the Si contents The optimizations of a steel-making procedure can lead to its metallurgical performance improvement and some other benefits [61][62][63]. da Costa et al [61] investigated the CO 2 emissions of a hydrogen steel-making process, and reduced the CO 2 emissions by 80% when the breakthrough hydrogen technology was applied.…”

“…da Costa et al [61] investigated the CO 2 emissions of a hydrogen steel-making process, and reduced the CO 2 emissions by 80% when the breakthrough hydrogen technology was applied. Lu et al [62] implemented operation optimization of a converter by experiment programs, and optimized the operation parameters of the steel-making process. Rajashekar et al [63] used the iron ore slime as the coolant of the steel-making procedure, and obtained the economic and ecological-resource benefits from this innovative practice.…”

Generalized Thermodynamic Optimization for Iron and Steel Production Processes: Theoretical Exploration and Application Cases

“…These results were obtained by the combination of constructal theory and FTT, and could not be obtained only by constructal theory. The optimizations of an steel-making procedure can lead to its metallurgical performance improvement and some other benefits [61][62][63]. da Costa et al [61] investigated the CO2 emissions of a hydrogen steel-making process, and reduced the CO2 emissions by 80% when the breakthrough hydrogen technology was applied.…”

“…da Costa et al [61] investigated the CO2 emissions of a hydrogen steel-making process, and reduced the CO2 emissions by 80% when the breakthrough hydrogen technology was applied. Lu et al [62] implemented operation optimization of a converter by experiment programs, and optimized the operation parameters of the steel-making process. Rajashekar et al [63] used the iron ore slime as the coolant of the steel-making procedure, and obtained the economic and ecological-resource benefits from this innovative practice.…”