Synthetic slag samples of the CaO-SiO2-MgO-Al2O3-Cr2O3 system were obtained to clarify the effect of FeO on the formation of spinel phases and Cr distribution. X-ray diffraction (XRD) and scanning electron microscopy (SEM) equipped with energy-dispersive spectroscopy (EDS), as well as the thermodynamic software FactSage 6.2, were used for sample characterization. The results show that the addition of FeO can decrease the viscosity of molten slag and the precipitation temperatures of melilite and merwinite. The solidus temperature significantly decreases from 1400 to 1250• C with the increase of FeO content from 0wt% to 6wt%. The addition of FeO could enhance the content of Cr in spinel phases and reduce the content of Cr in soluble minerals, such as merwinite, melilite, and dicalcium silicate. Hence, the addition of FeO is conducive to decreasing Cr leaching.
Case-Based Reasoning (CBR) system is a kind of solving paradigm based on the past successful cases to get the solution for the current problem. When CBR is applied in complex industrial processes, solving efficiency is often not high due to too many influence factors involved. So it is necessary to reduce the number of attributes involved in CBR system for the fast modern industrial production, such as steelmaking and continues casting process. A two-step CBR method is proposed for predicting the endpoint phosphorus content in BOF efficiently. First, the genetic algorithm is applied to find the optimal attributes subset based on the evaluation method of Correlation-based Feature Selection (CFS). Then, CBR system is applied for solving this problem with the reduced attributes. There are two kinds of similarity calculation method based on the euclidean distance and the gray distance, and two kinds of the weight decision method based on the even weight and the entropy weight for this CBR system. Four groups of experiment results show that the two-step CBR method has much more efficiency than the single CBR method, while maintaining almost the same prediction precision. The two-step CBR method can be used in the fast industrial process more efficiently.
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