This paper adopts Genetic Algorithm (GA) -driven optimisation framework to solve the design optimisation problem of an autonomous underwater vehicle that aims to minimise the delivered power under the constraints on the geometric parameters that define the hull shape. The GA and computational fluid dynamics (CFD) solvers are seamlessly integrated into a single code so that it becomes an effective computational tool for optimisation. Adopting a hull and a ducted propeller, for which some experimental data are available for CFD validation, the optimisation is done for the shape of the hull for a single velocity, leading to significant reduction in delivered power. The hull shape is described by a 5-parameter axisymmetric form. Delivered power minimisation problem is compared with the corresponding drag minimisation problem of the chosen hull.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Shape optimisation of an AUV with ducted propeller using GA integrated with CFD


    Contributors:

    Published in:

    Publication date :

    2018-02-17


    Size :

    14 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Ducted propeller

    WU JIAFENG / CAO HEYUN / CHEN WEI et al. | European Patent Office | 2023

    Free access

    Small aircraft propeller noise with ducted propeller

    Oleson, R. / Patrick, Howard | AIAA | 1998


    DUCTED PROPELLER PROPULSION DEVICE

    European Patent Office | 2017

    Free access

    DUCTED PROPELLER PROPULSION DEVICE

    ROH JAE OUK / SONG CHI SU / LEE DONG HYUN et al. | European Patent Office | 2016

    Free access

    High-performance ducted propeller

    TANG JIANMING | European Patent Office | 2015

    Free access