Zamira Amirova, a 2nd-year student of the Department of Journalism and Social Sciences at the Faculty of History, Economics, and Law, achieved outs Read more
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Development of metrological support and technological support for ultra-precise forecasting of failures of high-loaded equipment using non-destructive testing methods and integrated assessment of fatigue processes in the material of steam turbine blades a
Priority area: Information, telecommunication and space technologies, scientific research in the field of natural sciences
Project manager: Savinkin V.V., Doctor of Technical Sciences
Project executors: Demyanenko A.V., Candidate of Technical Sciences, Tadzhigitov A.A., Ph.D., Voronina O.A., Ph.D., Zhakupov M.A., Ph.D., Ratushnaya T.Yu., master, Ivanova O.V., master.
Terms of execution: 2018-2020
Amount of financing: 72,000,000 tenge.
Purpose of the project: Development of an innovative methodology for highly accurate prediction of structural and phase changes in a part and failures of highly loaded equipment.
Expected results: Improved quality of forecasting failures, process control, reduced likelihood of man-made disasters. Creation of an innovative methodology for ultra-precise forecasting.
Description of the project: The idea of the project is to study the concentration of internal stresses in the structure of dynamically loaded parts of turbines at the stage of pre-fracture, increasing the reliability and efficiency of their operation by ultra-precise forecasting. The technical solutions developed in the project will make it possible to predict with high accuracy the moment of pre-destruction and failure of highly loaded equipment, excluding man-made disasters at industrial enterprises in Kazakhstan. The synthesis of technical equipment and probabilistic methods will create a complete autonomous system for predicting defects at the structural level of a part without dismantling it, with the development of an intelligent control system and decision-making. An ultra-precise forecast will make it possible to adapt the optimal operating parameters and monitor the operation of the turbine. To conquer the market with a domestic information database that performs highly accurate forecasting.
Project objectives:
−application of proven methods and technologies for the development of metrological support and technological support for high-precision forecasting of failures of highly loaded equipment;
−analytical methods, methods of simulation modeling, development of normative and technical documentation for metrological support;
−use of non-destructive testing methods and integrated assessment of fatigue processes in the material of steam turbine blades at TPS.