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Numerical Simulation of the Ducted Propeller and Application to a Semi-Submerged Vehicle Cover

Numerical Simulation of the Ducted Propeller and Application to a Semi-Submerged Vehicle

By: Jin Zou,  Guoge Tan,  Hanbing Sun,  Jie Xu and  Yongkang Hou  
Open Access
|Jul 2020

Abstract

The self-propulsion test of underwater vehicles is the key technique for predicting and evaluating the navigation performance of these submersibles. In this study, the numerical simulation of a standard propeller JD7704+Ka4-70 is first presented and the results are compared with experiments to validate the numerical approaches. The reason why the propulsion efficiency of the ducted propeller is higher than that of the conventional propeller is explored. Then, the paper proposes a series of numerical simulations conducted to test the performance of the ducted propeller designed according to the JD7704+Ka4-70 in order to match with the unmanned semi-submerged vehicle (USSV), and the propeller’s open water characteristic curves are obtained. The results show a reasonable agreement with the regression analysis. Afterwards, the numerical simulations focus on a self-propulsion test of the USSV with the designed ducted propeller and the self-propulsion point is obtained. The streamlines through the hull as well as the ducted propellers are clearly obtained, together with the velocity distributions of the propeller plane. The results vividly demonstrate the hydrodynamic performance of the USSV with the designed propellers. In this paper, all the CFD simulations are based on the numerical software, Star-CCM+, and use the Reynolds-averaged Navier‒Stokes (RANS) equations with the shear stress transport (SST) k-omega turbulence model.

DOI: https://doi.org/10.2478/pomr-2020-0023 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
Language: English
Page range: 19 - 29
Published on: Jul 17, 2020
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Jin Zou, Guoge Tan, Hanbing Sun, Jie Xu, Yongkang Hou, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.