Fast method for slag characterization during ladle furnace steelmaking process based on spectral reflectance
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Hyperspectral imaging reflectance
Hyperspectral imaging reflectance analysis has proven to be successful in online characterization applications such as material recycling , soil composition analysis , quality control  among others. The measurement of a narrow spectral reflectance of specific materials allows the use of feature extraction and regression machine learning techniques to classify the material into a specific group or estimate some chemical parameters under controlled conditions. A method for Fast slag composition estimation on the ladle furnace process, together with the steel composition information from in-process steel spectrometers, would allow implementing thermo-dynamical equilibrium models to optimize the use of steel additives to obtain a target steel grade at the optimal additive cost. In this work, we present a fast method for slag characterization which is based on the indirect analysis of the spectral reflectance of the slag. This method is based on a normalization procedure to ...