Optimization of Modeling Parameters for Temperature Field of Iron Ore Fines Sintering Based on Sintering Velocity

Sintering of iron ore fines in ironmaking production is a complex process involving gas-solid combustion and heat transfer. Modeling the temperature field of sinter bed is the key to optimizing the matching of temperature field and field parameters. In this study, a gas- solid heat transfer model of porous media was used to describe the sintering temperature field, and a particle swarm optimization model of temperature field parameters was established. Through numerical computing and sintering experiments at specific sintering speed, the matching of temperature field parameters such as mass percent of fuel, pressure, wind speed and so on, were analyzed. The change trend of temperature under optimized matching values is consistent with that of sintering test, and the error is within 5%. The obtained parameters matching method of temperature field and sintering speed can lay a foundation for further optimization of iron ore fines sintering.