Energy Field Modeling Analysis And Energy-saving Scheduling Problem Research In Forging Process

Based on the numerical simulation technology,the energy saving in forging process was studied in this paper.Firstly,the energy input,output and consumption of the forging process were introduced,energy units were divided,and the energy generation and dissipation model was established in this chapter.On this basis,the heat transfer theory research of the key link in the forging process and the design of the general technical flow of simulation modeling were described,which provides the theoretical basis for the numerical simulation of the subsequent energy consumption factors.Then,FLUENT simulation software is used to conduct 3d modeling of the heating furnace and set it for simulation under different relative gas rate of fire ratio.Through the simulation results of different working conditions,the temperature field of the heating furnace was analyzed to find the optimal relative gas rate of fire ratio and the optimal heating space in the furnace,which provided the basis for loading and dispatching.The research on forging in heating process focuses on its relative position.The monte carlo view factor matrix was used to track statistics of photon radiation in furnace,different spacing determine forgings to absorb heat,find out the optimal spacing configuration,analyzes the relations between forging size and the optimal spacing,ascertaining the optimum spacing coefficient,and through the simulation to analyze the influence of the spacing for forging effective heat absorption rate,heating time and capacity.DEFORM simulation software is used in forging process to simulate billet forming process.During the deformation of billet,the temperature field and stress field will change obviously,which has a great influence on the forging quality and the energy consumption of the melted.Optimizing technological reasonable through temperature field and stress field analysis of the billet forging process for the forging of bearing forging,finish forging temperature,temperature deformation rate,form variables.Not only can reduce the energy loss of forging unit,improve the quality of forging products,but also connect heating process,reduce the heat preservation time and the useless energy consumption.Finally,the forging workshop in C-M forging production mode was optimized for energy saving scheduling.Based on the simulation results of energy consumption factors,the case matching search engine and a multi-back packaging furnace model were established to optimize the process of billet loading in different batches,so as to reduce equipment no-load time and over heat preservation time and improve heating efficiency.At the same time to optimize the forging process parameters,improve the quality of the workpiece,reduce the times of melted and energy consumption;Through the establishment of the global scheduling model and the analysis of the examples,the scheduling scheme can effectively reduce the energy consumption of tons of steel,reduce the operation time and improve the utilization rate of equipment.