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Numerical study on the hydrodynamic characteristics of a propeller operating beneath a free surface

  • Paik, Kwang-Jun (Department of Naval Architecture and Ocean Engineering, Inha University)
  • Received : 2016.11.02
  • Accepted : 2017.02.20
  • Published : 2017.11.30

Abstract

The results of a numerical study on the performance of a propeller operating near a free surface are presented. The numerical simulations were performed for the various advance coefficients and the submergence depths of the model propeller. The effects of the model propeller size were investigated using two different model propeller sizes for all cases. The wave pattern of the free surface and the flow structure around the propeller as well as the hydrodynamic characteristics of the propeller were investigated through simulation results. The thrust and torque fluctuated and the trajectory of the tip vortex was distorted due to the interaction with the free surface. The wave pattern of the free surface was related to the tip vortex of the propeller. The decreases in thrust and torque at the small model propeller were greater than those of the large model propeller. The reduction rate of the thrust and torque increased with the advance coefficient.

Keywords

References

  1. Arribas, F.P., 2007. Some methods to obtain the added resistance of a ship advancing in waves. Ocean Eng. 34, 946-955. https://doi.org/10.1016/j.oceaneng.2006.06.002
  2. Baek, D.-G., Yoon, H.-S., Jung, J.-H., Kim, K.-S., Paik, B.-G., 2015. Effects of the advance ratio on the evolution of a propeller wake. Comput. Fluids 118, 32-43. https://doi.org/10.1016/j.compfluid.2015.06.010
  3. Califano, A., Steen, S., 2011. Numerical simulations of a fully submerged propeller subject to ventilation. Ocean. Eng. 38, 1582-1599. https://doi.org/10.1016/j.oceaneng.2011.07.010
  4. Carrica, P.M., Castro, A.M., Stern, F., 2010. Self-propulsion computations using a speed controller and a discretized propeller with dynamic overset grids. J. Mar. Sci. Technol. 15, 316-330. https://doi.org/10.1007/s00773-010-0098-6
  5. Castro, A.M., Carrica, P.M., Stern, F., 2011. Full scale self-propulsion computations using discretized propeller for the KRISO container ship KCS. Comput. Fluids 51, 35-47. https://doi.org/10.1016/j.compfluid.2011.07.005
  6. Chuang, Z., Steen, S., 2011. Prediction of speed loss of a ship in waves. In: Second International Symposium on Marine Propulsors, Hamburg, Germany.
  7. Felli, M., Guj, G., Camussi, R., 2008. Effect of the number of blades on propeller wake evolution. Exp. Fluids 44, 409-418. https://doi.org/10.1007/s00348-007-0385-0
  8. Felli, M., Camussi, R., Di Felice, F., 2011. Mechanisms of evolution of the propeller wake in the transition and far fields. J. Fluid Mech. 682, 5-53. https://doi.org/10.1017/jfm.2011.150
  9. Kozlowska, A.M., Steen, S., Koushan, K., 2009. Classification of different type of propeller ventilation and ventilation inception mechanism. In: First International Symposium on Marine Propulors, Trondheim, Norway.
  10. Kozlowska, A.M., Wockner, K., Steen, S., Rung, T., Kousan, K., Spence, S.J.B., 2011. Numerical and experimental study of propeller ventilation. In: Second International Symposium on Marine Propulors, Hamburg, Germany.
  11. Li, Y., Martin, E., Michael, T., Carrica, M., 2015. A study of propeller operation near a free surface. J. Ship Res. 59, 190-200. https://doi.org/10.5957/JOSR.59.4.150042
  12. Liu, S., Papanikoaou, A., Zaraphonitis, G., 2011. Prediction of added resistance of ships in waves. Ocean Eng. 38, 641-650. https://doi.org/10.1016/j.oceaneng.2010.12.007
  13. Menter, F.R., 1994. Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J. 32, 1598-1605. https://doi.org/10.2514/3.12149
  14. Muzaferija, S., Peric, M., Sames, P., Schellin, T., 1998. A two-fluid NaviereStokes solver to simulate water entry. In: Proceedings of the 22nd Symposium on Naval Hydrodynamics, Washington, DC, U.S.A.
  15. Nakamura, s., Naito, s., 1977. Propulsive performance of a containership in waves. Nav. Archit. Ocean Eng. 15, 24-48.
  16. Orihara, H., Miyata, H., 2003. Evaluation of added resistance in regular incident waves by computational fluid dynamics motion simulation using an overlapping grid system. J. Mar. Sci. Technol. 8, 47-60. https://doi.org/10.1007/s00773-003-0163-5
  17. Paik, B.G., Kim, J., Park, Y.H., Kim, K.S., Yu, K.K., 2007. Analysis of wake behind a rotating propeller using PIV technique in a cavitation tunnel. Ocean. Eng. 34, 594-604. https://doi.org/10.1016/j.oceaneng.2005.11.022
  18. Paik, B.-G., Lee, J.-Y., Lee, S.-J., 2008. Effect of propeller immersion depth on the flow around a marine propeller. J. Ship Res. 52, 102-113.
  19. Paik, K.-J., Hwang, S., Jung, J., Lee, T., Lee, Y.-Y., Ahn, H., Van, S.-H., 2015. Investigation on the wake evolution of contra-rotating propeller using RANS computation and SPIV measurement. Int. J. Nav. Archit. Ocean Eng. 7, 595-609. https://doi.org/10.1515/ijnaoe-2015-0042
  20. Park, H.-G., Lee, T.-G., Paik, K.-J., Choi, S.-H., 2011. Study on the characteristics of thrust and torque for partially submerged propeller. J. Korean Soc. Mar. Environ. Eng. 14, 264-272. https://doi.org/10.7846/JKOSMEE.2011.14.4.264
  21. Sadat-Hosseini, H., Wu, P.-C., Carrica, P.M., Kim, H., Toda, Y., Stern, F., 2013. CFD verification and validation of added resistance and motions of KVLCC2 with fixed and free surge in short and long head waves. Ocean. Eng. 59, 240-273. https://doi.org/10.1016/j.oceaneng.2012.12.016
  22. Ueno, M., Tsukada, Y., Tanizawa, K., 2013. Estimation and prediction of effective inflow velocity to propeller in waves. J. Mar. Sci. Technol. 18, 339-348. https://doi.org/10.1007/s00773-013-0211-8

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