Research Of Reheating Furnace Slab Temperature Model And Furnace Temperature Optimal Setting

Reheating furnace is the important energy-consuming equipment in the production line of steel rolling. Its role is to wait for the cold rolling steel slab steel heating, makes it become the mill can rolling hot steel slab. However, the slab heating is a very complicated process. The most effective way to improve the heating quality of slab and reduce energy consumption of the reheating furnace is establishing a mathmatic model of slab temperature and calculating the optimal setting value for furnace temperature by using advanced modeling and control technology, so as to make out the section and surface temperature of steel slab meet the production requirements. This thesis is structured as follows:(1) This thesis does the research on regenerative reheating furnace system. Firstly, a temperature model is established to measure the distribution of temperature in the furnace. Then, a slab temperature prediction model based on the total heat exchange factor is established by studying heat transfer mechanism and deducing total heat exchange factor parameter. Lastly, the discrete method of solving the model is discussed for improving the precision of the model.(2) Based on the established slab temperature prediction model, the optimal setting method of furnace steady-state temperature is also discussed in this thesis. Firstly, the objective function is established according to the requirements of the heating furnace production target. And then by using genetic algorithm, we can obtain the optimal furnace temperature and the best slab heating process while the furnace is in steady-state.(3) Due to the heating furnace characteristics of large intertia and time-delay, furnace temperature should be compensated on line while conditions change. The dynamic compensation strategy, including iteration method and fuzzy control, for the steady-state optimal temperature is presented in order to realize a slab furnace temperature dynamic optimization settings.(4) The control method for furnace temperature comprehensive compensation based on distributed reasoning structure is proposed and the method how to set the comprehensive furnace temperature is further studied to relize furnace temperature dynamic optimization settings in slab heating process.Simulation results indicate that the slab temperature can be quite accurately calculated by the slab temperature model. After the realization of dynamic optimization settings for furnace temperature, we can greatly improve the heating quality of slabs and reduce the energy consumption of the reheating furnace in the premise to ensure normal rolling process, which indicates that the the optimal setting of furnace temperature is verified to be valid and efficient.