Study On Optimized Charge Proportioning For Steel-making Of Eaf Based NSGA?

As the first step of metallurgical production,whether the burden structure is reasonable or not related to the practical problems such as smelting process,production cost,electrode consumption,product quality and energy saving and emission reduction.Unreasonable ingredients often lead to prolonging the smelting cycle,increasing power consumption and equipment loss,meanwhile,it will increase the difficulty of adjusting the composition of the molten steel during refining.Worse still,it may be affected the normal industrial production.In addition,there is also a big gap between our country's steelmaking enterprises in comparable energy consumption per ton of steel and the world's advanced level.As the transition of the steel industry,the problem about how to develop a new burden and meet practical production process for EAF is becoming urgent.Therefore,the study on EAF ingredient model has very important significance.With the theories of material balance,energy conservation,the mathematical programming as well as physical and chemical reaction in the process of EAF production,a multi-objective mathematical model was established based on the concept of Pareto dominant and the practical production process of the EAF and the characteristics of burden.For the determination of objective function,the energy consumption of metallurgical problems and the concept of energy carriers and energy c-g analysis are taken into account.A model based on the lowest energy consumption of per ton and the lowest cost is established.For the model constraint optimization problems,in order to find the key constraints affecting the metallurgical ingredients and ensure that the model is reasonable,the model constraints into based on material and energy conservation and based on the actual production conditions of saving energy in two categories.The constraints based on material and energy conservation can be divided into five kinds of constraints,they are dosage constraint,composition constraint,energy balance,the total amount and the slag balance.Process conditions and contribute to energy saving constraints include the alkalinity constraints and oxygen supply and increase the amount of coke with the amount of molten iron.Given the success of NSGA II in solving the multi-objective optimization model and algorithm convergence,high accuracy and low complexity advantage,this model is based on the algorithm to solve it.To ensure the optimum effect with another classic multi-objective SPEA2 optimization algorithms to solve the distribution and compared with the population diversity,algorithm convergence,the efficiency and the accuracy of the solution.The simulating results shown that NSGA? algorithm compares with SPEA2 indicates that NSGA? has a more outstanding performance in convergence of solutions,solution setdistribution and other aspects.At the same time,algorithm produces a set of Pareto optimal solutions provide decision support for guiding production,it is of practical significance.In addition,this model also provide ideas for the research on electric arc furnace burden structure.In order to popularize and apply the optimization model of ingredients,this paper develops and designs batching system based on visualization program and database interface.The optimized batching system is stable in the window platform,which can realize the functions of inventory information management,the optimal selection of the batching scheme and the query of the historical batching data.The system is easy to operate,the interface is friendly and It has certain practicality and popularization value.