Open Access
MATEC Web Conf.
Volume 220, 2018
2018 The 2nd International Conference on Mechanical, System and Control Engineering (ICMSC 2018)
Article Number 03009
Number of page(s) 9
Section Power Machinery Engineering
Published online 29 October 2018
  1. Andronov, A.L., “Features of operation of centrifugal pumps and the requirements for their electric drive,” Polzunovskii Almanac (Barnaul, Russia), Volume 1, pp. 150-152, (2004) [Google Scholar]
  2. Ivanov, V.K., Kashkarov, A.M., Romacenko, E.N., Tolstikov L.A., “Turbopump units for LPRE designed by NPO Energomash,” Conversion in engineering, Volume 1, pp. 15 21, (2006) [Google Scholar]
  3. Zubanov, V.M., Shabliy, L.S., Krivcov, A.V., “Rational Technique for Multistage Centrifugal Pump CFD-Modeling,” In Proceedings of the ASME Turbo Expo, Paper No. GT2015-42070, pp. 1-9, (2015) [Google Scholar]
  4. Zubanov, V.M., Shabliy, L.S., Krivcov, A.V., Matveev, V.N., “Document Technique for adequate CFD-modeling of the pump with hydro-drive of the low-pressure stage,” In Proceedings of the ASME Turbo Expo, Paper No. GT2016-57689, pp. 1-11, (2016) [Google Scholar]
  5. IOSO Optimization Technology. Access mode: [Google Scholar]
  6. Pinho, J., Lema, M., Rambaud, P., Steelant, J., 2014, “Multiphase investigation of water hammer phenomenon using the full cavitation model,” Journal of Propulsion and Power, Volume 30, Issue 1, January, pp. 105-113Fg, (2014) [CrossRef] [Google Scholar]
  7. Reboud JL., Pouffary B., Coutier-Delgosha O., Fortes - Patella R., “Numerical simulation of unsteady cavitating flows: some applications and open problems,” Fifth International Symposium on Cavitation (CAV2003), Japan, Paper No. CAV2003-IL-10, pp. 1-10, (2003) [Google Scholar]
  8. NUMECA. Access mode: [Google Scholar]
  9. ANSYS CFX-Solver Modeling Guide, ANSYS Inc,(2011) [Google Scholar]
  10. Marchukov, E.Yu., Egorov, I., Popov, G., Salnikov, A., Goriachkin, E., Kolmakova, D., “Multidisciplinary optimization of the working process of uncooled axial turbine according to efficiency and strength criteria,” Proceedings of the ASME Turbo Expo, Paper No. GT2017 64843, (2017) [Google Scholar]
  11. Jha, R., Dulikravich, G.S., Colaço, M.J., Egorov, I.N., Poloni, C., Chakraborti, N., Fan, M., Schwartz, J., Koch, C., 2015, “Multi-objective design and optimization of hard magnetic alloys free of rare earths,” Materials Science and Technology Conference and Exhibition (2015). [Google Scholar]
  12. Matveev, V.N., Baturin, O.V., Popov, G.M., Egorov, I.N., “Document Seven-stage axial compressor optimization,” Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014, pp. 821-826, (2014) [Google Scholar]
  13. Yang, C., Wu, H., “Optimized aerodynamic design of aggressive intermediate turbine duct with strut fairings using genetic algorithms”, ASME Paper GT2016-56639, (2016) [Google Scholar]
  14. Ding, H., Visser, F.C., Jiang, Y., Furmanczyk, M., “Demonstration and validation of a 3D CFD simulation tool predicting pump performance and cavitation for industrial applications,” Journal of Fluids Engineering, Transactions of the ASME Volume 133, Issue 1, Article number 011101, pp. 277-293, (2011) [CrossRef] [Google Scholar]
  15. Athavale, M.M., Li, H.Y., Jiang, Y.U., Singhal, A.K., “Application of the full cavitation model to pumps and inducers,” International Journal of Rotating Machinery, Volume 8, Issue 1, pp. 45-56, (2002) [CrossRef] [Google Scholar]
  16. Popov G., Goriachkin E., Kolmakova D. and Novikova Yu., “Multicriteria Optimization of Axial Low Pressure Compressor of Gas Turbine Power Plant”, (2016) [Google Scholar]
  17. [Google Scholar]
  18. Shigley J.E. and Shigley C.R., “Mechanical Enginering Design”, McGraw-Hill, (2001). [Google Scholar]
  19. ANSYS Mechanical User’s Guide, ANSYS, (2013) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.