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Resistance prediction of submersible on surface at different speeds.
Author(s):
1. Hafeez Ahmad: Maritime Technologies Complex (MTC) Islamabad, Pakistan
2. Imran Ghafoor: Maritime Technologies Complex (MTC) Islamabad, Pakistan
Abstract:
There is a significant effort in the marine industry to integrate Computational Fluid Dynamics (CFD) simulation capability in designing energy efficient submarine hull forms while lowering the noise generated from them. Accurate simulation of turbulent free surface flows around surface of submersible has a central role in the optimal design of such naval vessels. The flow problem to be simulated is rich in complexity and poses many modeling challenges because of the existence of breaking waves around the submersible hull and because of the interaction of the two-phase flow with the turbulent boundary layer. The CFD code FLUENT is used for the computational analysis in the present study. The flow solver solves the RANS equations with finite volume approach on the hybrid girds. A steady state computation, with the SIMPLE algorithm is adopted and volume of fluid (VOF) technique is employed to simulate the free surface motion. The near wall effects are captured by applying boundary layer technique. The present study is an effort towards RANS simulations of free surface flows around modern submersible hulls with advanced turbulence models, interface capturing schemes. Different case studies are carried out at different speeds of submersible. Hydrodynamic parameters such as total drag coefficient, pressure drag coefficient and viscous drag coefficient, are analyzed against varies flow conditions. Grid independence and effect of different turbulence models are studied during this research work. Hydrodvnamic and aerodynamic coefficients are analyzed at different speeds of the modern submersible vehicle. The conclusion drawn from these case studies is that drag increases as speed of the vehicle increases. The analysis shows that the disturbances (deformations) in the free surface are much visible at maximum speed of the vehicle. Detailed flow behaviors are also discussed for the various analyzed cases. The total drag coefficient, resistance prediction and effective horse power for the engine are also analyzed at different speeds of the vehicle.
Page(s): 76-89
DOI: DOI not available
Published: Journal: Proceedings 5th International Bhurban Conference on Applied Sciences and Technology , Volume: 0, Issue: 0, Year: 2007
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