The Strategy of Online Furnace of Pending Rolling Temperature Optimization Based on Genetic Algorithm

Abstract

A mathematical model of the steel billet heating process of the step-by-step heating furnace is established. According to the mathematical model, the state of the furnace billet's temperature is predicted after a period of time when the furnace is pending rolling, a genetic algorithm is proposed to make the billet temperature meet the process requirements and reduce energy consumption. The heating curve of the process of seeking heating furnace pending rolling on-line is realized and the energy consumption of the furnace is reduced and the heating time after the end of the pending rolling is eliminated.