Development And Application Of Foundry Burden Proportion Software Based On Constrained Optimization Algorithm

The energy consumption of casting smelting process is the highest in enterprise production.Reducing the energy consumption in the smelting process and reducing the smelting cost have become the key issues to be solved in the smelting process of foundry companies.Accurate and appropriate casting charge ratio scheme can effectively reduce the cost of smelting.At present,domestic foundry companies rely on the manual experience method to formulate the charge and charge ratio scheme,which has the problems of low calculation efficiency and accuracy.However,the application of the computer charge ratio technology needs to be improved,resulting in higher cost of the casting smelting process.In this paper,the combination of casting computer technology,focusing on the improvement of the algorithm,the development of the charging furnace material ratio system optimization software,so that the burden ratio problem is solved efficiently and accurately,to the green,intelligent direction.First of all,the article summarizes the solutions and principles commonly used in foundry burden rationing technology,analyzes the current status of domestic foundry smelting batching and related requirements of foundry companies,and establishes a mathematical model of the burden ratio of the foundry burden,which will be used according to the modeling results.Constraint optimization algorithm as a solution.Then,the constrained optimization algorithm is studied,and the solution to the problem is found from the exact algorithm and the approximate algorithm.For the established linear model,based on the principle of linear programming in the exact algorithm,a two-stage simplex method was used to solve the burden ratio model,and an optimized solution was designed.With this scheme,the optimal matching method for the burden ratio problem can be obtained under feasible conditions and finite time.When the current matching problem has no feasible domain or the scale of the processing problem increases,a solution to the solution of the suboptimal solution is designed.The solution consists of two methods of constraint relaxation and genetic algorithm.The former can relax the constraint condition when there is no optimal solution,recommend a matching scheme with the target component approximation,and provide reference suggestions for the actual matching process;the latter,as a supplement to the optimal solution scheme,can be given in a shorter time.Suboptimal solution to the matching problem.In the end,this paper uses C++ language coding and develops a software based on the constrained optimization algorithm to charge the burden charge.It is a complete solution to the problem of charging ratio.In the practical application of the smelting ratio of cast iron parts and stainless steel parts,compared with the InteCast FCS software and manual experience method,the recommended matching scheme obtained by the optimized solution scheme is less than the unit cost in ensuring the target alloy cost requirement.InteCast FCS software and manual experience method can obtain a matching scheme with a lower allocation cost.Suboptimal solutions can solve problems that cannot be solved by some other methods,for example,there is no feasible region for the current rationing problem or the scale of the problem increases with the current situation.The results show that the software has a good application effect,verifying the reliability and efficiency of the software.