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NUMERICAL PREDICTION OF PROPELLER-HULL INTERACTION CHARACTERISTICS USING RANS METHOD

Abstract

The paper presents the results of computational evaluation of the hull-propeller interaction coefficients, also referred to propulsive coefficients, based on the unsteady RANS flow model. To obtain the propulsive coefficients, the ship resistance, the open-water characteristics of the propeller, and the flow past the hull with working propeller were computed. For numerical evaluation of propeller open-water characteristics, the rotating reference frame approach was used, while for self-propulsion simulation, the rigid body motion method was applied. The rotating propeller was modelled with the sliding mesh technique. The dynamic sinkage and trim of the vessel were considered. The free surface effects were included by employing the volume of fluid method (VOF) for multi-phase flows. The self-propulsion point was obtained by performing two runs at constant speed with different revolutions. The well-known Japan Bulk Carrier (JBC) test cases were used to verify and validate the accuracy of the case studies. The solver used in the study was the commercial package Star-CCM+ from SIEMENS.

Keywords:

Propeller, interaction, hull, wake fraction, thrust deduction, relative rotative efficiency, RANS equations

Details

Issue
Vol. 26 No. 2(102) (2019)
Section
Latest Articles
Published
12-07-2019
DOI:
https://doi.org/10.2478/pomr-2019-0036
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Open Access License

This journal provides immediate open access to its content under the Creative Commons BY 4.0 license. Authors who publish with this journal retain all copyrights and agree to the terms of the CC BY 4.0 license.

 

Authors

  • Tran Ngoc Tu

    Vietnam Maritime University
  • Do Duc Luu

    Vietnam Maritime University
  • Nguyen Thi Hai Ha

    Vietnam Maritime University
  • Nguyen Thi Thu Quynh

    Vietnam Maritime University
  • Nguyen Minh Vu

    Vietnam Maritime University

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