Algorithmic and software information and training system " Аluminum melt Mixer"
Abstract
Algorithmic and software information and training system " Аluminum melt Mixer"
Incoming article date: 10.11.2018The developed information and training system is intended for vocational guidance, initial training and advanced training of technological personnel of industrial enterprises associated with batching and pouring aluminum alloys of various brands. The system contains the necessary amount of theoretical information that describes the basic principles of aluminum production using the most well-known technological operations aimed at forming the required metal alloys with a given chemical composition. The functional of the system is close to reality, using only proven empirical data, as well as reliable models of the internal processes of the system, created using commonly known physical, chemical and mathematical laws. The process of interaction with the training system is controlled by an algorithm that monitors the order of execution of the main technological stages of aluminum production. The training system allows you to load previously prepared values or to customize the new initial parameters of the system in the "Administrator" mode, corrected for various restrictions and interference that occur in production. The approach to the training of technological personnel is based on the use of the standard method of learning "trial and error", which allows a multiple search for a solution to the same or other similar technological problems in the formation of a metal alloy with specified chemical characteristics. The user's work with the training system is limited in time and is accompanied by the calculation of the total amount of production costs, taking into account the cost and availability of various technological operations and materials. To verify the results of the solution, an algorithm is used to find the optimal version of the ratio of the initial components of the charge, aimed at obtaining the best solution for the technological problem with the lowest cost of melting the required volume of metal. The search for the best variant of the solution of the technological problem of blending is calculated using the method of sequential optimization, in which the solution of the subtask in the previous step of calculations becomes the basis for subsequent calculations. Thus, the use of the information and training system makes it possible to improve the quality of final finished products, reduce energy costs of production, and reduce the prime cost of smelting each ton of metal by reducing the time indices of production and more rational use of material resources.
Keywords: information and training system, technological personnel, process modeling, aluminum grade, charge, alloying, chemical composition, cost of production, finished products