Research On Energy Modeling And Energy-saving Scheduling Of Forging Production Process

In the 13 th Five-Year Plan of Comprehensive Work on Energy Conservation and Emission Reduction,the promotion of transformation and upgrading of traditional industries and the industrial energy saving have been put in the first place.As a major energy consumer,iron and steel industry is one of the key energy-saving areas.The energy conservation and emission reduction of forging industry was studied in this paper.In view of the basic process of forging production,this paper firstly researched on the energy flow of forging.Based on the energy flow balance model,the heating furnace system is selected for energy balance analysis,four main energy loss problems were found from the analysis results and the improvement direction was proposed for each issue.Then the process optimization was further studied,the selection of heating curve and the optimization of furnace charging schedule was studied to saving energy.Energy flow is based on material flow,so the material flow and energy flow were combined in this paper research.According to the coexistence of discrete and continuous,the fixed-point model method is used to model material flow and energy flow.Then the relationship between material flow and energy flow is discussed,and the way in which material affects energy in production is clarified.On the basis of energy flow balance,the key furnace link was selected as the object to analyze heat balance.According to the measurement results of the heat budget of the furnace it was found that effective heat utilization,waste gas heat loss,accumulated heat of furnace and incomplete combustion are the main problem,and the process optimization direction and equipment improvement direction were proposed for four issues.In the research of the heating curve of the heating furnace,two kinds of heating curves are given: the stage heating curve and the smooth heating curve,and two heating forms are monitored and compared.During the monitoring process,the different heating curves are used for the same heating process.The results analysis shows the influence of different heating curves on energy consumption,and is helpful to select low energy consumption heating process.The optimization of furnace charging takes the heat treatment system as the object.According to the charging model of heat treatment,the scheduling optimization model of maximum charging volume and mass,minimum waiting time and minimum average energy consumption are established.Then,combined with the advantages of NSGA-II,SPEA2 and DOPGA,a multi-objective hybrid algorithm is designed to solve the charging scheduling case.The results show that with the development of evolution,the utilization rate of charging scheme increases continuously,and the mean energy consumption and waiting time are very close to the theoretical optimal results.