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Parametric bulbous bow design using the cubic Bezier curve and curve-plane intersection method for the minimization of ship resistance in CFD

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Abstract

Parametric geometric modeling plays an important role in ship’s hull form optimization by use of computational fluid dynamic (CFD) analysis. However, it is difficult to create satisfactory parametric modeling for some curved shapes, such as a ship’s bulbous bow. In this study, the cubic Bezier curve and curve-plane intersection methods are applied to generate the parametric design of a bulbous bow in a solid modeling procedure by taking into account the input of 4 (four) design parameters. For this, a suitable application program interface script within the ANSYS Design Modeler was developed. An application to the ship resistance minimization by use of CFD was made to show that the proposed method could be implemented properly. In this respect, the parametric design of the bulbous bow of a container ship (KRISO Container Ship type) was chosen to be modified. First, it was shown that the computational results generated by CFD were close to the experimental data for the original ship hull form. The developed optimization method was subsequently applied to find the optimal bulbous bow. Finally, the dependence of the optimum bulbous bow on a ship’s speed (some variations of Fn values) was investigated and the results were compared to each other.

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Acknowledgments

This research was supported by a Research Grant of Pukyoung National University (2013 year).

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Authors and Affiliations

  1. Department of Naval Architecture, Diponegoro University, Semarang, Indonesia

    Deddy Chrismianto

  2. Department of Naval Architecture and Systems Marine Engineering, Pukyong National University, Busan, South Korea

    Dong-Joon Kim

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  1. Deddy Chrismianto
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  2. Dong-Joon Kim
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Correspondence to Deddy Chrismianto.

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Chrismianto, D., Kim, DJ. Parametric bulbous bow design using the cubic Bezier curve and curve-plane intersection method for the minimization of ship resistance in CFD. J Mar Sci Technol 19, 479–492 (2014). https://doi.org/10.1007/s00773-014-0278-x

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  • DOI: https://doi.org/10.1007/s00773-014-0278-x

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