Skip to main content
Log in

Self-propulsion computations using a speed controller and a discretized propeller with dynamic overset grids

  • Original Article
  • Published:
Journal of Marine Science and Technology Aims and scope Submit manuscript

Abstract

A method that can be used to perform self-propulsion computations of surface ships is presented. The propeller is gridded as an overset object with a rotational velocity that is imposed by a speed controller, which finds the self-propulsion point when the ship reaches the target Froude number in a single transient computation. Dynamic overset grids are used to allow different dynamic groups to move independently, including the hull and appendages, the propeller, and the background (where the far-field boundary conditions are imposed). Predicted integral quantities include propeller rotational speed, propeller forces, and ship’s attitude, along with the complete flow field. The fluid flow is solved by employing a single-phase level set approach to model the free surface, along with a blended kω/kɛ based DES model for turbulence. Three ship hulls are evaluated: the single-propeller KVLCC1 tanker appended with a rudder, the twin propeller fully appended surface combatant model DTMB 5613, and the KCS container ship without a rudder, and the results are compared with experimental data obtained at the model scale. In the case of KCS, a more complete comparison with propulsion data is performed. It is shown that direct computation of self-propelled ships is feasible, and though very resource intensive, it provides a tool for obtaining vast flow detail.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. ITTC (2002) Testing and extrapolation methods, performance propulsion test (Recommended Procedures and Guidelines; report 7.5-02-03-01.1). ITTC Secretary, Rio de Janeiro

  2. Choi JE, Kim JH, Lee HG, Choi BJ, Lee DH (2010) Computational predictions of ship-speed performance. J Mar Sci Technol (in press)

  3. Tahara Y, Wilson RV, Carrica PM (2006) RANS simulation of a container ship using a single-phase level set method with overset grids and prognosis for extension to self-propulsion simulator. J Mar Sci Technol 11:209–228

    Article  Google Scholar 

  4. Hino T (2006) CFD-based estimation of propulsive performance in ship design. In: Proceedings of 26th symposium on naval hydrodynamics, Rome, Italy, 17–22 Sept 2006

  5. Kim J, Kim KS, Kim GD, Park IR, Van SH (2006) Hybrid RANS and potential based numerical simulation for self-propulsion performances of the practical container ship. J Ship Ocean Tech 10(4):1–11

    Google Scholar 

  6. Kim KS, Kim J, Park IR, Kim GD, Van SH (2007) RANS analysis for hull-propeller-rudder interaction of a commercial ship using an overset grid scheme. In: Proceedings of 9th international conference on numerical ship hydrodynamics, Ann Arbor, MI, USA, 5–8 Aug 2007

  7. Cura Hochbaum A, Vogt M (2008) Maneuvering prediction for two tankers based on RANS calculations. In: SIMMAN 2008, Copenhagen, Denmark, 14–16 April 2008

  8. Lübke LO (2005) Numerical simulation of the flow around the propelled KCS. In: CFDWS05, Tokyo, Japan, 9–11 March 2005

  9. Huang S, Zhu X, Guo C, Chang X (2007) CFD simulation of propeller and rudder performance when using additional thrust fins. J Marine Sci Appl 6:27–31

    Article  Google Scholar 

  10. Pankajakshan R, Remotigue S, Taylor L, Jiang M, Briley W, Whitfield D (2002) Validation of control-surface induced submarine maneuvering simulations using UNCLE. In: Proceedings of 24th symposium on naval hydrodynamics, Fukuoka, Japan, 8–13 July 2002

  11. Carrica PM, Stern F (2008) DES simulations of KVLCC1 in turn and zigzag maneuvers with moving propeller and rudder. In: SIMMAN 2008, Copenhagen, Denmark, 14–16 April 2008

  12. Carrica PM, Wilson R, Stern F (2007) An unsteady single-phase level set method for viscous free surface flows. Int J Num Meth Fluids 53:229–256

    Article  MATH  MathSciNet  Google Scholar 

  13. Carrica PM, Wilson RV, Noack R, Stern F (2007) Ship motions using single-phase level set with dynamic overset grids. Comput Fluids 36:1415–1433

    Article  MATH  Google Scholar 

  14. Noack R (2005) SUGGAR: a general capability for moving body overset grid assembly (AIAA paper 2005-5117). In: 17th AIAA Comput Fluid Dynamics Conf, Toronto, Canada, 6–9 June 2005

  15. Boger DA, Dreyer JJ (2006) Prediction of hydrodynamic forces and moments for underwater vehicles using overset grids (AIAA paper 2006-1148). In: 44th AIAA Aerospace Sciences Meeting, Reno, NV, USA, 9–12 Jan 2006

  16. Carrica PM, Huang J, Noack R, Kaushik D, Smith B, Stern S (2010) Large-scale DES computations of the forward speed diffraction and pitch and heave problems for a combatant. Comput Fluids 39(7):1095–1111

    Google Scholar 

  17. Stern F, Bhushan S, Carrica PM, Yang J (2009) Large scale parallel computing and scalability study for surface combatant static maneuver and straight ahead conditions using CFD-Iowa. In: Parallel CFD 2009 Conf, Moffett Field, CA, USA, 18–22 May 2009

  18. Fossen TI (1994) Guidance and control of ocean vehicles. Wiley, New York

  19. Kim WS, Van SH, Kim DH (2001) Measurements of flows around modern commercial ship models. Exp Fluids 31:567–578

    Google Scholar 

  20. Simman 2008 Executive Organizing Committee (2008) Simman 2008 website. http://www.simman2008.dk/KVLCC/KVLCC1/tanker1.html

  21. Xing T, Carrica PM, Stern F (2008) Computational towing tank procedures for single run curves of resistance and propulsion. J Fluids Eng 130(101102):1–14

    Google Scholar 

  22. Felli M, Guj G, Camussi R (2008) Effect of the number of blades on propeller wake evolution. Exp Fluids 44:409–418

    Google Scholar 

  23. Hino T (ed) (2005) CFD Workshop Tokyo 2005 website. http://www.nmri.go.jp/cfd/cfdws05/index.html

  24. Gothenburg 2010 CFD Workshop organizers (2010) Gothenburg 2010 CFD Workshop website. http://www.gothenburg2010.org/kcs_gc.html

Download references

Acknowledgments

This work is sponsored by the US Office of Naval Research through research grants N00014-01-1-0073 and N00014-06-1-0474. Dr. Patrick Purtell is the technical manager. Computations were performed at the DoD’s AFRL HPC Center, and at NASA’s Advanced Supercomputing Center.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pablo M. Carrica.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (MPG 1866 kb)

Supplementary material 2 (MPG 9338 kb)

Supplementary material 3 (MPG 5926 kb)

Supplementary material 4 (AVI 2390 kb)

Supplementary material 5 (AVI 2733 kb)

About this article

Cite this article

Carrica, P.M., Castro, A.M. & Stern, F. Self-propulsion computations using a speed controller and a discretized propeller with dynamic overset grids. J Mar Sci Technol 15, 316–330 (2010). https://doi.org/10.1007/s00773-010-0098-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00773-010-0098-6

Keywords

Navigation