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Tytuł artykułu

Numerical simulation of the ducted propeller and application to a semi-submerged vehicle

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The self-propulsion test of underwater vehicles is the key technique for predicting and evaluating the navigation performance of these submersibles. In this study, the numerical simulation of a standard propeller JD7704+Ka4-70 is first presented and the results are compared with experiments to validate the numerical approaches. The reason why the propulsion efficiency of the ducted propeller is higher than that of the conventional propeller is explored. Then, the paper proposes a series of numerical simulations conducted to test the performance of the ducted propeller designed according to the JD7704+Ka4-70 in order to match with the unmanned semi-submerged vehicle (USSV), and the propeller’s open water characteristic curves are obtained. The results show a reasonable agreement with the regression analysis. Afterwards, the numerical simulations focus on a self-propulsion test of the USSV with the designed ducted propeller and the self-propulsion point is obtained. The streamlines through the hull as well as the ducted propellers are clearly obtained, together with the velocity distributions of the propeller plane. The results vividly demonstrate the hydrodynamic performance of the USSV with the designed propellers. In this paper, all the CFD simulations are based on the numerical software, Star-CCM+, and use the Reynolds-averaged Navier‒Stokes (RANS) equations with the shear stress transport (SST) k-omega turbulence model.
Rocznik
Tom
Strony
19--29
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
autor
  • Harbin Engineering University, Nantong, 150001 Harbin, China
autor
  • Harbin Engineering University, Nantong, 150001 Harbin, China
autor
  • Harbin Engineering University, Nantong, 150001 Harbin, China
autor
  • Chongqing Changan Automobile Co., Ltd, Jianxin, 400000 Chongqing, China
autor
  • Harbin Engineering University, Nantong, 150001 Harbin, China
Bibliografia
  • 1. Savas S., Ali D., Cihad D., Sakir B. (2018): Investigation of self-propulsion of DARPA Suboff by RANS method. Ocean Engineering, Vol.150, 258-271.
  • 2. Nathan C., Pablo M. C. (2013): Submarine propeller computations and application to self-propulsion of DARPA Suboff. Ocean Engineering, Vol.60, 68-80.
  • 3. Yang C. L., Zhu R. C., Miu G. P., Fan J., Li Y. L. (2011): CFD-based numerical simulation of hull /propeller /ruder interaction. Chinese Journal of Hydrodynamics, 26(06), 667-673.
  • 4. Tahara Y., Wilson R. V., Carrica P. M., Stern F. (2006): RANS simulation of a container ship using a single-phase level-set method with overset grids and the prognosis for extension to a self-propulsion simulator. Journal of Marine Science and Technology, 11(4), 209-228.
  • 5. Cheng X. K., Zhou Z. Y., Chen K., Wei F. F., Lu C. L. (2013): Numerical simulation of self-propulsion experiment. International Journal of Naval Architecture and Ocean Engineering, Issue.03, 10-15.
  • 6. Wu Z. H., Chen Z. G., Dai Y. (2013): Numerical prediction of self-propulsion with a body-force propeller model. Journal of Shanghai Jiaotong University, 47(06), 943-949.
  • 7. Carrica P. M., Castro A. M., Stern F. (2010): Self-propulsion computations using a speed controller and a discretized propeller with dynamic overset grids. Journal of Marine Science and Technology, 15(4), 316–330.
  • 8. Abbas N., Kornev N., Shevchuk I., Anschau P. (2015): CFD prediction of unsteady forces on marine propellers caused by the wake non-uniformity and non-stationarity. Ocean Engineering, Vol.104, 659–672.
  • 9. Ponkratov D., Zegos C. (2015): Validation of ship scale CFD self-propulsion simulation by the direct comparison with sea trials results. In: Fourth International Symposium on Marine Propulsors, Austin, Texas, USA, 2015.
  • 10. Yang R. Y., Shen H. C., Yao H. Z. (2005): Numerical simulation on self-propulsion test of the submarine with guide vanes and calculations for self-propulsion factors.
  • 11. Chase, N. (2012): Simulations of the DARPA Suboff submarine including self-propulsion with the E1619 propeller. Master thesis, University of Iowa, USA.
  • 12. Chase N., Carrica P. M. (2013): Submarine propeller computations and application to self-propulsion of DARPA Suboff. Ocean Engineering, Vol.60, 68–80.
  • 13. Zhang N., Zhang S. (2014): Numerical simulation of hull/propeller interaction of submarine in submergence and near surface conditions. Journal of Hydrodynamics, 26(01), 50–56.
  • 14. Shi Y. X., Zhang L. X., Shao X. M. (2014): Numerical study of the hydrodynamic performances of surface piercing propeller. Journal of Mechanical and Electrical Engineering, 31(08), 985-990.
  • 15. Sigmund S., El Moctar, O. (2016): Numerical prediction of the propulsion characteristics of ships in waves. In: Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering, Busan, South Korea, 2016.
  • 16. Mehran M. N., Mohammad B., Hassan G., Manouchehr F. (2017): Numerical analysis of ducted propeller and pumpjet propulsion system using periodic computational domain. Journal of Marine Science and Technology, 22(3), 559-573.
  • 17. Zhao C. (2014): Research on CFD simulation method of propeller performance in non-uniform inflow. Master thesis, Shanghai Jiaotong University, Shanghai, China.
  • 18. Chen K. Y. (2004): Ship design practical manual. National Defense Industry Press: Beijing, China
  • 19. Tan G. G. (2017): Study on the maneuverability of twin tail unmanned semi-submerged vehicle near free surface. Master thesis, Harbin Engineering University, Harbin, China.
  • 20. Zhang N., Zhang S. L., Shen H. C., Xie H. (2012): Numerical simulation and verification of free Surface craft/paddle interference characteristic. Chinese Journal of Hydrodynamics, Issue.01, 94-99.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-eb672796-6499-46c7-90ed-1711ecb458f0
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