|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Energy Technologies and CO2 Management Symposium
||Simulation Based Method for Analyzing Energy-utilization Feature in Steelmaking-continuous Casting Process
||Zhaojun Xu, Zhong Zheng, Xiaoqiang Gao, Jipeng Fan
|On-Site Speaker (Planned)
Aiming at the problem of high operating costs and poor energy utilization in steelmaking process, in this paper, the effects of production operating high-temperature ferruginous materials flow on energy utilization are analyzed. Considering the temperature drop and energy loss of molten steel caused by non-processing time, a simulation model is proposed in order to study the relation between the processing time of ferruginous materials flow and the energy utilization. The statistics of temperature in processing jobs and temperature drop in non-processing jobs are investigated with production data from a steel plant. From cellular automata principle, a simulation model for operating ferruginous materials flows in steelmaking-continuous casting process is built, which consists of manufacturing process network, evolutionary rules and rule-decision agent. The effects of processing time and materials transporting time on energy utilization and production efficiency are investigated with the simulation model for energy-saving and process optimization in steel manufacturing.