Abstract
The Blaine number of iron ore concentrate is a key parameter in the iron and steel chain, especially pelletizing. In this study, a novel and comprehensive strategy was introduced for modelling and estimating the Blaine number of iron ore concentrate by using the particles physical properties (particles size distribution and shape)-based Response Surface method and Monte Carlo simulation. The proposed strategy was implemented for modelling the Blaine number of concentrate produced in an industrial iron ore processing plant. Then, the obtained model was validated by using industrial data. The results showed that the proposed strategy and obtained model can be used as a powerful technique for modelling and relatively accurate predicting the Blaine number of iron ore concentrate produced in industrial plants and a suitable alternative to the conventional measurement methods.
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