Vrublevskyi R. Information technology management electromagnetic processing of metal products

The object – the management of magnetic-pulse processing products in terms of adaptation to the processing parameters. The aim – increasing the magnetic-pulse processing of metal products through the development of information technology management. Methods – methods of systems theory and functional simulation for the design of information technology management of magnetic-pulse processing of metal products; methods of artificial intelligence as: genetic algorithms and fuzzy neural networks for optimization of processing tasks and tasks of forecasting processing results. Further developed: mathematical model magnetic-pulse processing process control metal products; model of adaptive control parameters of metal products; methodology and criteria for evaluating the effectiveness of the use of the proposed magnetic-pulse processing management. For the first time: was developed the model adaptive control process magnetic-pulse processing for metal products of various configurations and material; there was offered the application of combined model magnetic-pulse processing process control based on fuzzy neural networks and genetic algorithms; the concept of management of magnetic-pulse processing products under uncertainty of initial data on the physical and mechanical properties of a particular product; was developed the structure of magnetic-pulse processing information management system based on fuzzy neural networks and genetic algorithms, and information technology management of this process. The range of applications: the management information systems magnetic-pulse processing in mechanical engineering and shipbuilding.