Optimization Of Setting Values For Fused Magnesia Furnace Based On Temperature Field Modeling

Fused MgO is an important refractory widely used in metallurgy, chemical, aerospace and other industries and it is mainly produced by Fused Magnesia Furnace (FMF). At this stage, the operation of FMF relies on experiences from workers, and it is not well studied of the complex Physical and chemical phenomena in FMF. Several problems exist such as high consumption of energy, low production rate, control method is not advanced and the level of automation is also low. Research on production process of Fused MgO refers to Crystallography, mineralogy, heat transfer and other disciplines, Involved in data acquisition, electrical analysis, control system design theories. Neither starting from a single discipline or a theory can get a good solution to problems existing in FMF.This paper is based on heat conduction theory in heat transfer. It solved the unsteady three-dimensional FMF temperature field numerical model and combined the model with Particle Swarm Optimization (PSO) in control theory, so that the best input current can be got. During the solving of temperature field, Assumptions for internal heat source was firstly proposed, discrete format for boundary conditions of FMF is then derived by using Finite Difference Method (FDM), solution for27types of boundary points which was also suitable for computer calculation with Cylinder under Cartesian coordinates. At the same time effect caused by coefficient of heat conductivity which is an important parameter for heat conduction is analyzed. Simulation procedure was programmed using MATLAB, this program can achieve visualization of the temperature field.PSO was used on input current optimization problem of FMF. Analyzing the contact between grade of MgO and temperature distribution in FMF, objective function of unit consumption of energy and target allocation based on temperature field numerical model was proposed. Considering the safety current for FMF as Constraints of objective function, the best current can be got by using PSO. Comparing with the current now, new current can achieve lower consumption and higher benefit.