This invention discloses a method for predicting the drum strength and RDI of sintered ore based on the characteristics of adhering
powder in ore blending. The method includes: obtaining the
particle size distribution and main
chemical composition information of adhering
powder under several ore blending conditions during actual
sintering production; obtaining the actual measured values of the drum strength and RDI+3.15 of sintered ore under several ore blending conditions during
sintering production; constructing a numerical
simulation model of the sintered ore temperature field to obtain the temperature level corresponding to the ore blending during
sintering; using thermodynamic analysis methods to obtain the amount of
liquid phase generated,
liquid phase viscosity, and Fe2O3 / CaO ratio under the corresponding ore blending and sintering temperature conditions; and then constructing a prediction model for the drum strength and RDI of sintered ore. This invention can optimize and adjust the ore blending structure in a timely manner based on the prediction results, maintaining a reasonable drum strength and RDI of sintered ore, forming a
rapid response for optimized ore blending from the source and mechanism, and can better support
blast furnace production.