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Numerical Simulation of the Flow Around the SUBOFF Submarine Model Using a DES Method

DES법을 이용한 SUBOFF 잠수함 모델 주위 유동 수치해석 연구

  • Suh, Sung-Bu (Department of Naval Architecture & Ocean Engineering, Dong-Eui University) ;
  • Park, Il-Ryong (Department of Naval Architecture & Ocean Engineering, Dong-Eui University)
  • 서성부 (동의대학교 조선해양공학과) ;
  • 박일룡 (동의대학교 조선해양공학과)
  • Received : 2020.11.15
  • Accepted : 2020.12.28
  • Published : 2021.04.20

Abstract

In this study, the numerical investigation of the flow around the SUBOFF submarine model is performed by using the Detached Eddy Simulation (DES) method which is developed based on the SST k-ω turbulence model. At the DES analysis level, complex vortical flows around the submarine model are caused mainly by the vortices due to the appendages and their interactions with the flows from the hull boundary layer and other appendages. The complexity and scale of the vortical flow obtained from the numerical simulations are highly dependent on the grid. The computed local flow properties of the submarine model are compared with the available experimental data showing a good agreement. The DES analysis more reasonably estimates the physical phenomena inherent in the experimental result in a low radius of the propeller plane where vortical flows smaller than the RANS scale are dominant.

Keywords

References

  1. Alin, N. et al., 2010. Current capabilities of DES and LES for submarines at straight course. Journal of Ship Research, 54(3), pp.184-196. https://doi.org/10.5957/jsr.2010.54.3.184
  2. Bhushan, S,, Alam, M.F., & Walters, D.K., 2013, Evaluation of hybrid RANS/LES models for prediction of flow around surface combatant and Suboff geometries. Computers & Fluids, 88, pp.834-849. https://doi.org/10.1016/j.compfluid.2013.07.020
  3. Bull, P., 1996. The validation of CFD predictions of nominal wake for the SUBOFF fully appended geometry. 21st Symposium on Naval Hydrodynamics, Trondheim, Norway, 24-28 June 1996.
  4. Byeon, C.Y., Kim, J.I., Park, I.R., & Seol, H.S., 2018, Resistance and self-propulsion simulations for the darpa suboff submarine by using RANS method. Journal of Computational Fluids Engineering, 23(3), pp.36-46. https://doi.org/10.6112/kscfe.2018.23.3.036
  5. Chase, N., 2012. Simulations of the DARPA SUBOFF submarine including self-propulsion with the E1619 propeller. Master of Science Thesis, University of Iowa.
  6. Crook, B., 1990. Resistance for DARPA SUBOFF as represented by model 5470. David Taylor Research Center Report DTRC/SHD-1298-07.
  7. Groves, N., Huang, T., & Chang, M., 1989. Geometric characteristics of DARPA SUBOFF models. Bethesda, MD : David Taylor Research Center.
  8. Huang, T.T. et al., 1992. Measurements of flows over an axisymmetric body with various appendages in a wind tunnel: the DARPA SUBOFF experimental program. 19th Symposium on Naval Hydrodynamics, Seoul, South Korea, 23-28 August.
  9. Jung, J.H., Jeong, K.L., Gill, J.H., & Jung, D., 2019, Large eddy simulation of free motion of marine riser using OpenFOAM. Journal of Ocean Engineering and Technology, 33(5), pp. 387-393. https://doi.org/10.26748/KSOE.2019.074
  10. Jung, J.H. et al., 2012. Large eddy simulation of flow around twisted offshore structure with drag reduction and vortex suppression. Journal of the Society of Naval Architects of Korea, 49(5), pp.440-446. https://doi.org/10.3744/SNAK.2012.49.5.440
  11. Lee, S.B., Park, D.W., & Paik, K.J., 2017. Grid tests for large eddy simulation of transitional flows around turbulence stimulators. Journal of the Korean Society of Marine Environment and Safety, 23(1), pp.112-121. https://doi.org/10.7837/kosomes.2017.23.1.112
  12. Lin, Y.H., & Li, X.C., 2020, The investigation of a sliding mesh model for hydrodynamic analysis of a SUBOFF model in turbulent flow fields. Journal of Marine Science and Engineering, 8(10), pp.1-19. https://doi.org/10.3126/jsce.v8i0.32857
  13. Park, I.R., Kim, J.I., Suh, S.B., & Seol, H.S., 2019, Numerical study on the resistance and self-propulsion of the suboff submarine model in the cavitation tunnel. Journal of Computational Fluids Engineering, 24(3), pp.50-58. https://doi.org/10.6112/kscfe.2019.24.3.050
  14. Park, K.S., Koo, B.G., Park, W.G, & Chun, H.H., 2004. Turbulent flow analysis around circular cylinder and airfoil by large eddy simulation with Smagorinsky model. Journal of the Society of Naval Architects of Korea, 41(4), pp.1-8. https://doi.org/10.3744/SNAK.2004.41.4.001
  15. Roddy, F., 1990. Investigation of the stability and control characteristics of several configurations of the DARPA SUBOFF model (DTRC model 5470) from captive-model experiments. David Taylor Research Center Report DTRC/SHD-1298-08.
  16. Sezen, S., Dogrul, A., Delen, C. & Bal, S., 2018. Investigation of self-propulsion of DARPA SUBOFF by RANS method. Ocean Engineering, 150, pp.258-271. https://doi.org/10.1016/j.oceaneng.2017.12.051
  17. Siemense, 2018. STAR-CCM+ 11.04 User Guide, URL: https://support.industrysoftware.automation.siemens .com/general/documentation.shtml [Accessed 1 January 2018].
  18. Spalart, P.R., Jou, W.H., Strelets, M., & Allmaras, S.R., 1997. Comments on the feasibility of les for wings, and on a hybrid rans/les approach, in Advances in DNS/LES, Liu C., Liu Z. (Eds.), Proceedings of 1st AFOSR International Conference on DNS/LES, August 4-8, 1997, Ruston, LA (1997), pp.137-147.
  19. Toxopeus, S., 2008. Viscous-flow calculations for bare hull DARPA SUBOFF submarine at incidence. International Shipbuilding Progress, 55, pp.227-251.
  20. Yoon, H.S., Koo, B.G., El-sammi, O.A., & Chun, H.H., 2004, Development of numerical tool for the DNS/LES of turbulent flow for frictional drag reduction. Journal of the Society of Naval Architects of Korea, 41(1), pp.47-54. https://doi.org/10.3744/SNAK.2004.41.1.047