References
- Bachant P, Wosnik M. 2015. Characterising the near-wake of a cross-flow turbine. J Turbul. 16(4):392–410.
- Boudreau M, Dumas G. 2017. Comparison of the wake recovery of the axial-flow and cross-flow turbine concepts. J Wind Eng Ind Aerodyn. 165(March):137–152.
- Boumediene K, Belhenniche SE, Imine O, Bouzit M. 2019. Computational hydrodynamic analysis of a highly skewed marine propeller. JNaval Archit Marine Eng. 16(1):21–32.
- Di Felice F, Felli M, Liefvendahl M, Svennberg U. 2009. Numerical and experimental analysis of the wake behavior of a generic submarine propeller. 1st Symposium on Marine Propulsors; June; Trondheim, Norway.
- Durante D, Dubbioso G, Testa C. 2013. Simplified hydrodynamic models for the analysis of marine propellers in a wake-field. J Hydrodyn. 25(6):954–965.
- 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.
- Ghassemi H. 2009. The effect of wake flow and skew angle on the ship propeller performance. Sci Iran. 16(2 B):149–158.
- Ghasseni H, Ghadimi P. 2011. Numerical analysis of the high skew propeller of an underwater vehicle. J Mar Sci Appl. 10(3):289–299.
- Kadda Boumediene MB. 2017. Numerical flow simulation around HSP propeller in open water and behind a vessel wake using RANS CFD code. Int J Mech Mechatron Eng. 11(1):208–212.
- Menter FR. 1994. Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J. 32(8):1598–1605.
- Moran-Guerrero A, Gonzalez-Gutierrez LM, Oliva-Remola A, Diaz-Ojeda HR. 2018. On the influence of transition modeling and crossflow effects on open water propeller simulations. Ocean Eng. 156(February):101–119.
- Okulov VL, Naumov IV, Mikkelsen RF, Sorensen JN. 2015. Wake effect on a uniform flow behind wind-turbine model. J Phys Conf Ser. 625(1). Conf. Ser. 625 012011 doi:10.1088/1742-6596/625/1/012011.
- Ortolani F, Dubbioso G, Muscari R, Mauro S, Di Mascio A. 2018. Experimental and numerical investigation of propeller loads in off-design conditions. J Marine Sci Eng. 6(2):45. 1–24.
- Phillips AB, Turnock SR, Furlong M. 2010. Accurate capture of propeller-rudder interaction using a coupled blade element momentum-RANS approach. Ship Technol Res. 57(2):128–139.
- Regener PB, Mirsadraee Y, Andersen P. 2018. Nominal vs. effective wake fields and their influence on propeller cavitation performance. J Marine Sci Eng. 6(2):1–14.
- Rijpkema D, Starke B, Bosschers J. 2013. Numerical simulation of propeller-hull interaction and determination of the effective wake field using a hybrid RANS-BEM approach. Third International Symposium on Marine Propulsors, smp’13; May. p. 421–429.
- Subramanian S, Mueller TJ. 1995. An experimental study of propeller noise due to cyclic flow distortion. J Sound Vib. 183(5):907–923.
- Tian Y, Kinnas SA. 2012. A wake model for the prediction of propeller performance at low advance ratios. Int J Rotating Mach. 2012:1–11.
- Ukon Y, Kurobe Y, Kudo T. 1989. Measurement of pressure distribution on a conventional and a highly skewed propeller model. J Soc Naval Archit Jpn. 165:83–94.
- Wang LZ, Guo CY, Su YM, Wu TC. 2018. A numerical study on the correlation between the evolution of propeller trailing vortex wake and skew of propellers. Int J Naval Archit Ocean Eng. 10(2):212–224.
- Yao H, Zhang H. 2017. Numerical studies of propeller exciting bearing forces under nonuniform ship’s nominal wake and the influence of cross flows. Shock Vib. 2017(2 b):1–15.
- Yari E, Ghassemi H. 2013. Numerical analysis of sheet cavitation on marine propellers, considering the effect of cross flow. Int J Naval Archit Ocean Eng. 5(4):546–558.