Design and Optimization of an Underwater Vessel for Speed Augmentation using CFD
This paper describes the framework used for the optimum design of an underwater vessel. Genetic algorithm has been utilized during this study for carrying out the optimization of the hull shape, causing a significant reduction in the hydrodynamic drag while maintaining the required internal volume. The methodology aims at achieving a geometric shape with minimum drag and maximum volume satisfying the constraints on design parameters of the hull. The said design is expected to have speed augmentation of around 20%. The nose shape of the vessel has been derived from the Wahoo (Acanthocybiumsolandri), statistically known for its high speed among sea creatures. The objective of this design is to attain a vessel shape with minimum practical resistance and minimum drag force. A length to diameter ratio (L/D) of 6.7 was achieved by means of biomimicry of the wahoo fish. Other dimensions of the submarine have been calculated using standard empirical relations. CFD analysis of the optimized design has been performed in ANSYS Fluent. Further, the results were compared with existing high speed underwater vessels to highlight the benefits offered by the present approach.
Keywords - Computational Fluid Dynamics, Slenderness Ratio, Nose-Factor, Genetic Algorithm