Shape optimization of an autonomous underwater vehicle with a ducted propeller using computational fluid dynamics analysis

Tae-hwan Joung, Karl Sammut, Fangpo He, Seung-Keon Lee

    Research output: Contribution to journalArticle

    30 Citations (Scopus)

    Abstract

    Autonomous Underwater Vehicles (AUVs) provide a useful means of collecting detailed oceano-graphic information. The hull resistance of an AUV is an important factor in determining the power requirements and range of the vehicle. This paper describes a procedure using Computational Fluid Dynamics (CFD) for determining the hull resistance of an AUV under development, for a given propeller rotation speed and within a given range of AUV velocities. The CFD analysis results reveal the distribution of the hydrodynamic values (velocity, pressure, etc.) around the AUV hull and its ducted propeller. The paper then proceeds to present a methodology for optimizing the AUV profile in order to reduce the total resistance. This paper demonstrates that shape optimization of conceptual designs is possible using the commercial CFD package contained in Ansys™. The optimum design to minimize the drag force of the AUV was identified for a given object function and a set of constrained design parameters.

    Original languageEnglish
    Pages (from-to)44-56
    Number of pages13
    JournalInternational Journal of Naval architecture and Ocean Engineering
    Volume4
    Issue number1
    DOIs
    Publication statusPublished - 2012

    Keywords

    • AUV (Autonomous Underwater Vehicle)
    • CFD (Computational Fluid Dynamics)
    • Design optimization
    • Drag force
    • Sensitivity

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