Yıl: 2021 Cilt: 9 Sayı: 3 Sayfa Aralığı: 192 - 199 Metin Dili: İngilizce DOI: 10.4274/jems.2021.24654 İndeks Tarihi: 20-05-2022

Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds

Öz:
In this study, we use computational fluid dynamics (CFD) to investigate the self-propulsion characteristics of a submarine model. Predicting a marine vehicle’s self-propulsion features, and as a result, determining the thrust force required to drive the ship with a constant forward speed is critical for the propulsive system and main engine selection. A Reynolds-Averaged-Navier-Stokes Equations based numerical methodology has been applied to the flow field around the Defense Advanced Research Projects Agency suboff geometry to predict the selfproportion characteristics of a marine vehicle. First, the model’s self-propulsion characteristics were determined for a relatively lower hull speed (5.35 knots), and the results were compared with those of other studies and experiments. The study was then extended to include higher forward speeds ranging from 5.93 to 17.79 knots. The results reveal that the propeller rotation rate at the model’s self-propulsion point rises as the vessel speed and the power requirement increase. Similarly, the advance coefficient remains nearly unaffected by the Froude Number. The resistance components, propulsion characteristics, flow field surrounding the model, and the wake structure in the propeller slipstream were also evaluated for the determined self-propulsion points.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • [1] C. Guo, X. Wang, C. Wang, Q. Zhao, and H. Zhang, “Research on calculation methods of ship model self-propulsion prediction,” Ocean Engineering, vol. 203, pp. 107232, May 2020.
  • [2] L. Zhang, Y. Wei, Y. Deng, H. Yin, Y. Shang and J. Zhang, “A comparative investigation of fixed and free-running CFD selfpropulsion models on a waterjet-propelled trimaran,” Ocean Engineering, vol. 232, pp. 109081, Jul 2021.
  • [3] A.M. Bassam, A. B. Phillips, S. R. Turnock, and P. A. Wilson, “Experimental testing and simulations of an autonomous, self-propulsion and self-measuring tanker ship model,” Ocean Engineering, vol. 186, pp. 106065, Aug 2019.
  • [4] D. Villa, S. Gaggero, T. Gaggero, G. Tani, G. Vernengo, and M. Viviani, “An efficient and robust approach to predict ship selfpropulsion coefficients,” Applied Ocean Research, vol. 92, pp. 101862, Nov 2019.
  • [5] F. Jiang, Y. Li, and J. Gong, “Study on the manoeuvre characteristics of a trimaran under different layouts by water-jet self-propulsion model test,” Applied Ocean Research, vol. 108, pp. 102550, March 2021.
  • [6] P.M. Carrica, A. M. Castro, and F. Stern, “Self-propulsion computations using a speed controller and a discretized propeller with dynamic overset grids,” Journal Marine Science Technology, vol. 15, pp. 316-330, Dec 2010.
  • [7] A. M. Castro, P. M. Carrica, and F. Stern, “Full scale self-propulsion computations using discretized propeller for the KRISO container ship KCS,” Computers & Fluids, vol. 51, pp. 35-47, Dec 2011.
  • [8] Z. Shen, D. Wan, and P. M. Carrica, “Dynamic overset grids in OpenFOAM with application to KCS self-propulsion and maneuvering,” Ocean Engineering, vol. 108, pp. 287-306, Nov 2015.
  • [9] S. Gaggero, D. Villa, and M. Viviani, “An extensive analysis of numerical ship self-propulsion prediction via a coupled BEM/ RANS approach,” Applied Ocean Research, vol. 66, pp. 55-78, Jun 2017.
  • [10] P. He, G. Filip, J.R.R.A. Martins, and K. J. Maki, “Design optimization for self-propulsion of a bulk carrier hull using a discrete adjoint method,” Computers & Fluids, vol. 192, pp. Figure 8. Tangential velocity distributions in the propeller slipstream 104259, Oct 2019.
  • [11] A. Bakica, I. Gatin, V. Vukcevic, H. Jasak, and N. Vladimir, “Accurate assessment of ship-propulsion characteristics using CFD,” Ocean Engineering, vol. 175, pp. 149-162, Mar 2019.
  • [12] D. Feng, J. Yu, R. He, Z. Zhang, and X. Wang, “Improved body force propulsion model for ship propeller simulation,” Applied Ocean Research, vol. 104, pp. 102328, Nov 2020.
  • [13] S. Sezen, C. Delen, A. Dogrul, and M. Atlar, “An investigation of scale effects on the self-propulsion characteristics of a submarine,” Applied Ocean Research, vol. 113, pp. 102728, Aug 2021.
  • [14] C. Delen, U. Can, and S. Bal, “Prediction of Resistance and Self- Propulsion Characteristics of a Full-Scale Naval Ship by CFDBased GEOSIM Method,” Journal of Ship Research, pp. 1-16, Oct. 2020.
  • [15] W. Sun, Q. Hu, S. Hu, J. Su, J. Xu, J. Wei and G. Huang, “Numerical Analysis of Full-Scale Ship Self-Propulsion Performance with Direct Comparison to Statistical Sea Trail Results,” Journal Marine Science Engineering, vol. 8, pp. 24, Jan 2020.
  • [16] H. Jasak, V. Vukcevic, I. Gatin, and I. Lalovic, “CFD validation and grid sensitivity studies of full scale ship self propulsion,” International Journal of Naval Architecture Ocean Engineering, vol. 11, pp. 33-43, Jan 2019.
  • [17] N. Chase, Simulations of the DARPA suboff submarine including self-propulsion with the E1619 propeller, İowa: University of Iowa, 2012.
  • [18] N. Zhang and S.L. Zhang, “Numerical simulation of hull/ propeller interaction of submarine in submergence and near surface conditions,” Journal of Hydrodynamics vol. 26, pp. 50-56, Feb 2014.
  • [19] S. Sezen, A. Dogrul, C. Delen, and S. Bal, “Investigation of self-propulsion of DARPA suboff by RANS method,” Ocean Engineering, vol. 150, pp. 258-271, Feb 2018.
  • [20] O.K. Kinaci, M.K. Gokce, A.D. Alkan, and A. Kukner, “On selfpropulsion assessment of marine vehicles,” Brodogradnja, vol. 69, pp. 29-51, Dec 2018.
  • [21] P.M. Carrica, Y. Kim, and J.E. Martin, “Near-surface self propulsion of a generic submarine in calm water and waves,” Ocean Engineering, vol. 183, pp. 87-105, Jul 2019.
  • [22] N.C. Groves, T.T. Huang, and M. S. Chang, “Geometric characteristics of DARPA suboff models (DTRC model nos. 5470 and 5471) (No. DTRC/SHD-1298-01),” 1989.
  • [23] H.L. Liu and T.T. Huang, “Summary of DARPA suboff experimental program data (No. CRDKNSWC/HD-1298-11),” Final Rep. Jun 1998.
  • [24] N. Chase and P.M. Carrica, “Submarine propeller computations and application to self-propulsion of DARPA Suboff,” Ocean Engineering, vol. 60, pp. 68-80, Mar 2013.
  • [25] Siemens, “Star-CCM+ User Guide version 14.02.010” 2019. [26] ITTC, “Recommended Procedures and Guidelines Practical Guidelines for Ship CFD Applications,” 2011. Available from: https://www.scribd.com/document/177879513/ITTC
  • [27] O.K. Kinaci, M.K. Gokce, and C. Delen, “Resistance experiments and self-propulsion estimations of Duisburg Test Case at 1/100 scale,” Ship Technology Research, vol. 67, pp. 109-120, May 2020.
  • [28] Y.A. Özden and F. Çelik, “Numerical investigation of the effects of underwater aft cone angle and length-to-beam ratio on hull efficiency,” Gemi ve Deniz Teknolojisi, pp. 71-88, Jul 2017.
  • [29] A. Doğrul, “Hydrodynamic investigation of a submarine moving under free surface,” Journal of Eta Maritime Science, vol. 7, pp. 212-227, 2019.
APA ÇOŞGUN T (2021). Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds. , 192 - 199. 10.4274/jems.2021.24654
Chicago ÇOŞGUN TANER Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds. (2021): 192 - 199. 10.4274/jems.2021.24654
MLA ÇOŞGUN TANER Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds. , 2021, ss.192 - 199. 10.4274/jems.2021.24654
AMA ÇOŞGUN T Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds. . 2021; 192 - 199. 10.4274/jems.2021.24654
Vancouver ÇOŞGUN T Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds. . 2021; 192 - 199. 10.4274/jems.2021.24654
IEEE ÇOŞGUN T "Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds." , ss.192 - 199, 2021. 10.4274/jems.2021.24654
ISNAD ÇOŞGUN, TANER. "Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds". (2021), 192-199. https://doi.org/10.4274/jems.2021.24654
APA ÇOŞGUN T (2021). Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds. Journal of Eta Maritime Science, 9(3), 192 - 199. 10.4274/jems.2021.24654
Chicago ÇOŞGUN TANER Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds. Journal of Eta Maritime Science 9, no.3 (2021): 192 - 199. 10.4274/jems.2021.24654
MLA ÇOŞGUN TANER Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds. Journal of Eta Maritime Science, vol.9, no.3, 2021, ss.192 - 199. 10.4274/jems.2021.24654
AMA ÇOŞGUN T Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds. Journal of Eta Maritime Science. 2021; 9(3): 192 - 199. 10.4274/jems.2021.24654
Vancouver ÇOŞGUN T Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds. Journal of Eta Maritime Science. 2021; 9(3): 192 - 199. 10.4274/jems.2021.24654
IEEE ÇOŞGUN T "Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds." Journal of Eta Maritime Science, 9, ss.192 - 199, 2021. 10.4274/jems.2021.24654
ISNAD ÇOŞGUN, TANER. "Numerical Self-Propulsion Assessment of a Generic Submarine Model at Various Forward Speeds". Journal of Eta Maritime Science 9/3 (2021), 192-199. https://doi.org/10.4274/jems.2021.24654