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Designing and updating the flow part of axial and radial-axial turbines through mathematical modeling

Autor: Rusanov Andrey, Rusanov Roman, Lampart Piotr

Publikováno v: Open Engineering, Vol 5, Iss 1 (2015)

The paper describes an algorithm for the design of axial and radial-axial type turbines. The algorithm is based on using mathematical models of various levels of complexity – from 1D to 3D. Flow path geometry is described by means of analytical met

Externí odkaz: https://doaj.org/article/3b6679e6f7ef43fe95f8aef6360a9ce7

Повышение газодинамической эффективности регулирующего отсека паровой турбины серии К-300

Autor: Rusanov, Andrii V., Shvetsov, Viktor L., Kosianova, Anna I., Bykov, Yurii A., Pashchenko, Natalia V., Chuhai, Maryna O., Rusanov, Roman A.

Publikováno v: Проблемы машиностроения; Том 23, № 4 (2020); 6-13
Проблеми машинобудування; Том 23, № 4 (2020); 6-13
Journal of Mechanical Engineering; Том 23, № 4 (2020); 6-13

The paper proposes ways to increase the efficiency of nozzle control for steam power turbines of the K-300 series, that, along with the K-200 series turbines, form the basis of thermal energy in Ukraine. The object of study is considered to be the co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::4da853e9de5b9951bb7878fa6feb0df1
http://journals.uran.ua/jme/article/view/222688

Прогнозирование эрозионно-коррозионного износа элементов трубопроводов атомных электростанций методом нейросетевого моделирования

Autor: Biblik, Irina V., Avramov, Konstantin V., Rusanov, Roman A.

Publikováno v: Journal of Mechanical Engineering; Том 21, № 3 (2018); 13-19
Проблемы машиностроения; Том 21, № 3 (2018); 13-19
Проблеми машинобудування; Том 21, № 3 (2018); 13-19

Based on a comprehensive approach that uses the computer simulation of the process of destroying structural materials and technology of self-learning neural networks, a methodology has been developed for predicting the rate of flow accelerated corros

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::9c8ca86e7fe5eb77afacc1a6b626ff66
http://journals.uran.ua/jme/article/view/144153

Application of innovative solutions to improve the efficiency of the LPC flow part of the 220 MW NPP steam turbine.

Autor: RUSANOV, ANDRII¹, SUBOTIN, VIKTOR², SHVETSOV, VIKTOR², RUSANOV, ROMAN¹ roman_rusanov@ipmach.kharkov.ua, PALKOV, SERHII^1,2, PALKOV, IHOR^1,2, CHUGAY, MARINA¹

Publikováno v: Archives of Thermodynamics. 2022, Vol. 43 Issue 1, p63-87. 25p.