Dissertation > Industrial Technology > Metallurgical Industry > General issues > Smelting of raw materials and ore pretreatment > Ore pretreatment, sintered pellets

Research of the Mathematical Model and Development of the Simulation Software for the Pellet Induration Process

Author LiuBin
Tutor LiHongRu
School Northeastern University
Course Control Theory and Control Engineering
Keywords iron ore pellet grate-kiln-cooler system mathematical modeling simulation software
Type Master's thesis
Year 2012
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Iron ore induration is one of the important pretreatment processes for ironmaking through the blast furnace route. It is commonly carried out by a’grate-kiln-cooler’process. A mathematical model of the process is described, in which mechanism models of the grate/cooler, kiln, and gas-flow-distribution are linked to enable simulation of the entire process. The development of a user-friendly simulation software for induration is presented here, too.The model of grate/cooler attempts to account for all the major heat and mass transfer mechanisms present. It includes heat transfer between gas and pellets, moisture evaporation and condensation, magnetite oxidation, the limestone reaction and so on. A tanks-in-series model of a rotary kiln has been developed that includes combustion, conjugate heat transfer between the flame, solids, kiln wall, and surroundings. Then, this paper develops a mathematical model to evaluate the flow distribution in a complicated network for grate-kiln-cooler system. Solution for each model is provided in this paper.Individual section models are not normally run separately for off-line studies, as a choice of feasible operating conditions requires consideration of the process as a whole. The overall plant model is comprised of the three section models, and a routine for the simultaneous solution of entire process is described in this paper. At last, a user-friendly simulation software for entire grate-kiln-cooler induration process developed by matlab GUI is presented.This mathematical model and simulator can be utilized for optimizing the operation of existing plant and design of new ones.

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