Modeling And Optimization Of Iron Ore Powder Sintering Process Based On OpenFOAM

With the deepening of economic restructuring and the strengthening of environmental protection constraints,China's iron and steel industry has entered the era of high-quality development.Green and efficient become the main theme of iron and steel enterprises in the new era.Iron ore powder sintering is a complex process involving many physical and chemical reactions,and it is also a key upstream process of iron and steel production process.Therefore,the modeling and optimization of iron ore sintering process is of great significance to the iron and steel industry.At present,the platform of process modeling and simulation mostly uses commercial software,which has the advantages of simple operation and rich technical documents.However,it also has some disadvantages,such as weak development,too strong encapsulation,which leads to weak widening when fusing other optimization algorithms.And it is difficult to meet the development requirements for specific problems.In this paper,the sintering trolley is taken as the research object,and the open source computational fluid dynamics class library openfoam is used as the platform to study the modeling and optimization of the sintering process of iron ore powder.The main contents are as follows:(1)The sintering process of iron ore powder is analyzed and a mathematical model is established.The heat exchange between iron ore powder and air in the sintering process is mainly studied.By analyzing the sintering process of iron ore powder,it is simplifies it into a gas-solid heat transfer model,in which the internal heat source replaces the combustion heat.And describes the sintering process based on the hydrodynamics equation,turbulence model and porous medium model.(2)Open source software OpenFOAM is used to build simulation model.The code structure and calculation example of openfoam are analyzed,and the development of self defining solver for mathematical model of sintering process is realized.The temperature field distribution of sintering trolley is simulated,and the influence of wind speed,wind temperature and carbon content on the temperature field is analyzed.(3)The optimization model of sintering temperature field is established based on particle swarm optimization.The evaluation index of temperature field is put forward through the experiment of solvent diffusion behavior in particles at high temperature,and the effect of the evaluation index on the yield of sinter is proved by the experiment.According to the evaluation index of temperature field,particle swarm optimization is used to extract the temperature field information of simulation model,and the carbon content of raw materials,inlet air temperature and inlet wind speed are optimized.The results show that the temperature field of sintering process has been significantly improved.In this paper,the sintering process model and numerical simulation solver are established by using the open source fluid computational mechanics class library.The parameter optimization framework is constructed by integrating particle swarm optimization algorithm,so as to realize the parameter optimization of the sintering process temperature field.The solver and optimization framework established in this study are conducive to the operation optimization of sintering production process,and it is a beneficial exploration for the realization of intelligent manufacturing and intelligent sintering of iron and steel.