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Comparison of methods for the determination of Tesla turbine performance

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A numerical and experimental investigation of the Tesla turbine is presented in the paper. The experiment is conducted for various inlet pressure and load. The roughness of the rotor disc is determined as it is a key factor to obtain high turbine efficiency and power. The numerical investigations are performed for the same conditions as in the experiment. The computational results are compared with the analytical model. Comparison of performance characteristics show a relatively good agreement between the experiment and CFD. The analytical model overestimates distributions of pressure and circumferential velocities, although the predicted power is on the similar level as in the experiment and CFD.
Słowa kluczowe
Rocznik
Strony
563--575
Opis fizyczny
Bibliogr. 30 poz., rys.
Twórcy
  • Silesian University of Technology, Gliwice, Poland
  • Silesian University of Technology, Gliwice, Poland
  • Silesian University of Technology, Gliwice, Poland
Bibliografia
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  • 4. Borate H.P., Misal N.D., 2012, An effect of spacing and surface finish on the performance of bladeless turbine, ASME 2012 Gas Turbine India Conference, GTINDIA 2012, 165-171
  • 5. Carey V.P., 2010, Assessment of Tesla turbine performance for small scale Rankine combined heat and power systems, Journal of Engineering for Gas Turbines and Power, 132, 122301-1-122301-8
  • 6. Deng Q., Qi W., Feng Z., 2013, Improvement of a theoretical analysis method for Tesla turbines, ASME Turbo Expo 2013: Turbine Technical Conference and Exposition, GT 2013, San Antonio, United States
  • 7. Dykas S., Majkut M., Smołka K., Strozik M., 2015, Experimental research on wet steam flow with shock wave, Experimental Heat Transfer, 28, 5, 417-429
  • 8. Flack K.A., Schultz M.P., 2014, Roughness effects on wall-bounded turbulent flows, Physics of Fluids, 26, 101305-1-101305-17
  • 9. Frączek D., Wróblewski W., Bochon K., 2017, Influence of honeycomb rubbing on the labyrinth seal performance, Journal of Engineering for Gas Turbines and Power, 139, 1, 012502
  • 10. Guha A., Sengupta S., 2013, The fluid dynamics of the rotating flow in a Tesla disc turbine, European Journal of Mechanics B/Fluids, 37, 112-123
  • 11. Hama F.R., 1954, Boundary-layer characteristics for rough and smooth surface, Transactions of the SNAME, 62, 333-351
  • 12. Li R., Wang H., Yao E., Li M., Nan W., 2017, Experimental study on bladeless turbine using incompressible working medium, Advances in Mechanical Engineering, 9, 1, 1-12
  • 13. Lampart P., Jędrzejewski Ł., 2011, Investigations of aerodynamics of Tesla bladeless turbine, Journal of Theoretical and Applied Mechanics, 49, 2, 477-499
  • 14. Lampart P., Kosowski K., Piwowarski M., Jędrzejewski Ł., 2009, Design analysis of Tesla micro-turbine operating on a low-boiling medium, Polish Maritime Research, 63, 16, 28-33
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  • 16. Neckel A.L., Godinho M., 2015, Influence of geometry on the efficiency of convergent – divergent nozzles applied to Tesla turbines, Experimental Thermal and Fluid Science, 62, 131-140
  • 17. Rulik S., Wróblewski W., Nowak G., Szwedowicz J., 2015, Heat transfer intensification using acoustic waves in a cavity, Energy, 87, 1, 21-30
  • 18. Rusin K., Wróblewski W., Rulik S., 2018a, The evaluation of numerical methods for determining the efficiency of Tesla turbine operation, Journal of Mechanical Science and Technology, 32, 12, 5711-5721
  • 19. Rusin K., Wróblewski W., Strozik M., 2018b, Experimental and numerical investigations of Tesla turbine, Journal of Physics: Conference Series, 1101, 1, 012029
  • 20. Schlichting H., 1979, Boundary Layer Theory, McGraw-Hill Book Company, New York
  • 21. Schosser C., Fuchs T., Hain R., Lecheler S., Kahler Ch., 2016, Three-dimensional particle tracking velocimetry in a Tesla turbine rotor using non-intrusive calibration method, 18th International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, Portugal
  • 22. Sengupta S., Guha A., 2012, A theory of Tesla disc turbines, Journal of Power and Energy, 226, 650-663
  • 23. Smirnov P.E., Menter F.R., 2009, Sensitization of the SST turbulence model to rotation and curvature by applying the Spalart-Shur correction term, Journal of Turbomachinery, 131, 4, 2305-2314
  • 24. Song J., Ren X., Li X., Gu C., Zhang M., 2018, One-dimensional model analysis and performance assessment of Tesla turbine, Applied Thermal Engineering, 134, 546-554
  • 25. Spalart P.R., Shur M.L., 1997 On the sensitization of turbulence models to rotation and curvature, Aerospace Science and Technology, 1, 5, 297-302
  • 26. Sutherland W., 1893, The viscosity of gases and molecular force, Philosophical Magazine, 5, 36, 507-531
  • 27. Szablowski Ł., Krawczyk P., Badyda K., Karellas S., Kakaras E., Bujalski W., 2017, Energy and exergy analysis of adiabatic compressed air Energy storage system, Energy, 138, 12-18
  • 28. Tesla N., Turbine, Patent No: 1,061,206, United States Patent Office of New York, 1913
  • 29. Tucker P.G., 2013, Trends in turbomachinery turbulence treatments, Progress in Aerospace Sciences, 63, 1-32
  • 30. Wróblewski W., Frączek D., Marugi K., 2018, Leakage reduction by optimisation of the straight-through labyrinth seal with a honeycomb and alternative land configurations, International Journal of Heat and Mass Transfer, 126, 725-739
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-56a8b46e-7331-426a-b71f-65f24736ce49
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