American Journal of Marine Science
ISSN (Print): ISSN Pending ISSN (Online): ISSN Pending Website: https://www.sciepub.com/journal/marine Editor-in-chief: Apply for this position
Open Access
Journal Browser
Go
American Journal of Marine Science. 2018, 6(1), 25-29
DOI: 10.12691/marine-6-1-3
Open AccessArticle

Hydrodynamic Characteristic of the Marine Propeller in the Oblique Flow with Various Current Angle by CFD Solver

Alireza Abbasi1, Hassan Ghassemi1, and Manouchehr Fadavie1

1Department of Maritime Engineering, Amirkabir University of Technology (AUT), Tehran, Iran

Pub. Date: August 09, 2018

Cite this paper:
Alireza Abbasi, Hassan Ghassemi and Manouchehr Fadavie. Hydrodynamic Characteristic of the Marine Propeller in the Oblique Flow with Various Current Angle by CFD Solver. American Journal of Marine Science. 2018; 6(1):25-29. doi: 10.12691/marine-6-1-3

Abstract

The purpose of this study is to obtain the hydrodynamic characteristic of propeller in the oblique flow with various current angle (means oblique flow). The Reynolds-averaged Navier-Stokes (RANS) equations solver of the StarCCM+ software is employed with a realizable k-ε turbulent model. In the current study, the B-Series propeller (B:4-70) is used because of its use in commercial vessels. The simulation is conducted in two parts: at first, examination of propeller behavior in direct flow conditions and comparison with experimental conditions and in the next step analysis of the propeller in the oblique flow with angles of 10, 20, 30 and 40 degrees. The results are shown that the thrust and torque coefficients (KTx and KQx) are reduced by increasing the angle of flow and increasing the advance coefficient.

Keywords:
hydrodynamic characteristics b-series propeller oblique flow StarCCM+

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]  Shamsi, R., Ghassemi, H., Determining the hydrodynamic loads of the marine propeller forces in oblique flow and off-design condition. Iran. J. Sci. Technol. Trans. Mech. Eng. 41, 2017, pp121-127.
 
[2]  Shamsi, R., Ghassemi, H., Numerical investigation on yaw angle effects on propulsive characteristics of podded propulsions. Int. J. Nav. Archit. Ocean Eng. 5, 2013, 287-301.
 
[3]  Shamsi R., Ghassemi H., Iranmanesh M., A Comparison of the BEM and RANS Calculations for the hydrodynamic performance of the PODS, Mechanics & Industry 18, 205, 2017.
 
[4]  Viviani M, Podenzana Bonvino C, Mauro S, Cerruti M, Guadalupi D, Menna A., Analysis of asymmetrical shaft power increase during tight manoeuvre. In: 9th Int. conf. on high performance marine vehicles, Shangai, China, 2007.
 
[5]  Chang, P., Elbert, M., Young, Y., Liu, Z., Mahesh, K., Jang, H., Propeller forces and structural response due to crashback. In: Proc. of 27th Symp. on Naval Hydrodynamic, Seoul, Korea, 2008.
 
[6]  Atsavapranee P, Miller R, Day C, Klamo J, Fry D., Steady-turning experiments and RANS simulations on a surface combatant hull form (Model#5617). In: Proc. of 28th Symp. on naval hydrodynamics, Pasadena, California, 2010.
 
[7]  Dubbioso, G., Muscari, R., Mascio, A.D., Analysis of the performance of a marine propeller operating in oblique flow, Comput. Fluid 75, 2013, 86-102.
 
[8]  Dubbioso, G., Muscari, R., Mascio, A.D., Analysis of a marine propeller operating in oblique flow. Part 2: very high incidence angles. Comput. Fluid 92, 2014, 56-81.
 
[9]  Shuai, R., Liang, L., Chao, W., Hongyu, Z., Numerical prediction analysis of propeller exciting force for hull-propeller-rudder system in oblique flow. Int. J. Nav. Archit. Ocean Eng. 10, 2018, 69-84.
 
[10]  Wang, Chao, Sun, Shuai, Li, Liang, Ye, Liyu, Numerical prediction analysis of propeller bearing force for full-scale hull-propeller-rudder system. Int. J. Nav. Archit. Ocean Eng. 8, 2016, 589-601.
 
[11]  Nowruzi, H., Ghassemi, H. and Ghiasi, M., 2017. Performance predicting of 2D and 3D submerged hydrofoils using CFD and ANNs. Journal of Marine Science and Technology, 22(4), pp.710-733.
 
[12]  Shora, M.M., Ghassemi, H. and Nowruzi, H., 2017. Using computational fluid dynamic and artificial neural networks to predict the performance and cavitation volume of a propeller under different geometrical and physical characteristics. Journal of Marine Engineering & Technology, pp.1-26.
 
[13]  Najafi, A., Nowruzi, H. and Ghassemi, H., 2018. Performance prediction of hydrofoil-supported catamarans using experiment and ANNs. Applied Ocean Research, 75, pp.66-84.