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Numerical prediction of propeller-hull interaction characteristics using RANS method

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Tom
Strony
163--172
Opis fizyczny
Bibliogr. 21 poz., rys., tab.
Twórcy
autor
  • Vietnam Maritime University Lay Tray, 1800 Hai Phong Vietnam
autor
  • Vietnam Maritime University Lay Tray, 1800 Hai Phong Vietnam
  • Vietnam Maritime University Lay Tray, 1800 Hai Phong Vietnam
  • Vietnam Maritime University Lay Tray, 1800 Hai Phong Vietnam
  • Vietnam Maritime University Lay Tray, 1800 Hai Phong Vietnam
Bibliografia
  • 1. Tu, T.N., et al., Numerical Study on the Influence of Trim On Ship Resistance In Trim Optimization Process. Naval Engineers Journal, 2018. 130(4): p. 133–142.
  • 2. Villa, D., S. Gaggero, and S. Brizzolara. Ship Self Propulsion with different CFD methods: from actuator disk to viscous inviscid unsteady coupled solvers. in The10th International Conference on Hydrodynamics. 2012.
  • 3. Pacuraru, F., A. Lungu, and O. Marcu. Self‐Propulsion Simulation of a Tanker Hull. in AIP Conference Proceedings. 2011. AIP.
  • 4. Win, Y.N., et al., Computation of propeller-hull interaction using simple body-force distribution model around Series 60 CB= 0.6. Journal of the Japan Society of Naval Architects and Ocean Engineers, 2013. 18: p. 17–27.
  • 5. Bugalski, T. and P. Hoffmann. Numerical simulation of the self-propulsion model tests. in Second International Symposium on Marine Propulsors smp. 2011.
  • 6. Bekhit, A. Numerical simulation of the ship self-propulsion prediction using body force method and fully discretized propeller model. in IOP Conference Series: Materials Science and Engineering. 2018. IOP Publishing.
  • 7. Seo, J.H., et al., Flexible CFD meshing strategy for prediction of ship resistance and propulsion performance. International Journal of Naval Architecture and Ocean Engineering, 2010. 2(3): p. 139–145.
  • 8. Gokce, M.K., O.K. Kinaci, and A.D. Alkan, Self-propulsion estimations for a bulk carrier. Ships and Offshore Structures, 2018: p. 1–8.
  • 9. Tran Ngoc Tu, N.M.C., Comparison Of Different Approaches For Calculation Of Propeller Open Water Characteristic Using RANSE Method. Naval Engineers Journal, 2018. Volume 130, Number 1, 1 March 2018, pp. 105–111(7).
  • 10. http://www.t2015.nmri.go.jp/jbc_gc.html.
  • 11. http://www.t2015.nmri.go.jp/Instructions_JBC/instruction_ JBC.html.
  • 12. ITTC 2011b Recommended procedures and guidelines 7.5-03-02-03.
  • 13. CD-ADAPCO. User Guide STAR-CCM+, Version 13.02. 2018.
  • 14. Baltazar, J.M., D.R. Rijpkema, and J. Falcao De Campos. Numerical studies for verification and validation of openwater propeller RANS computations. in Proceedings of the 6th International Conference on Computational Methods in Marine Engineering (Rome, Italy). 2015.
  • 15. https://www.ittc.info/media/8169/75-03-03-01.pdf.
  • 16. Chen, Z., CFD investigation in scale effects on propellers with different blade area ratio. 2015.
  • 17. Wilcox, D.C., Turbulence modeling for CFD. Vol. 2. 1998: DCW industries La Canada, CA.
  • 18. ITTC-Quality Manual 7.5-03-01-01, 2008.
  • 19. https://ittc.info/media/1587/75-02-03-011.pdf.
  • 20. Molland, A.F., S.R. Turnock, and D.A. Hudson, Ship resistance and propulsion. 2017: Cambridge university press.
  • 21. http://www.t2015.nmri.go.jp/Presentations/Day1-AM2- JBC-TestData1-Hirata.pdf.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-de1affa1-1d59-4e59-9b59-1777431afc54
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