International Journal of Naval Architecture and Ocean Engineering

The Society of Naval Architects of Korea (대한조선학회)
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Numerical simulation of resistance performance according to surface roughness in container ships

  • Seok, Jun (Research Institute of Medium & Small Shipbuilding) ;
  • Park, Jong-Chun (Department of Naval Architecture and Ocean Engineering, Pusan National University)
  • Received : 2018.10.31
  • Accepted : 2019.05.24
  • Published : 2020.12.31
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Abstract

In recent years, oil prices have continued to be low owing to the development of unconventional resources such as shale gas, coalbed methane gas, and tight gas. However, shipping companies are still experiencing difficulties because of recession in the shipping market. Hence, they devote considerable effort toward reducing operating costs. One of the important parameters for reducing operating costs is the frictional resistance of vessels. Generally, a vessel is covered with paint for smoothing its surface. However, frictional resistance increases with time owing to surface roughness, such as that caused by fouling. To prevent this, shipping companies periodically clean or repaint the surfaces of vessels using analyzed operating data. In addition, studies using various methods have been continuously carried out to identify this phenomenon such as fouling for managing ships more efficiently. In this study, numerical simulation was used to analyze the change in the resistance performance of a ship owing to an increase in surface roughness using commercial software, i.e., Star-CCM+, which solves the continuity and Navier eStokes equations for incompressible and viscous flow. The conditions for numerical simulation were verified through comparison with experiments, and these conditions were applied to three ships to evaluate resistance performance according to surface roughness.

Keywords

Acknowledgement

This research is sponsored by the Ministry of Trade, Industry & Energy (Korea Government) under the project "Accuracy enhancement of model-ship correlation based on the ship performance measurement (10063575)”.

References

  1. American Bureau of Shipping (ABS), 2013. Ship Energy Efficiency Measures Status and Guidance.
  2. Candries, M., Atlar, M., Anderson, C.D., 2001. Foul release systems and drag. Consolidation of technical advances in the protective and marine coatings Industry. In: Proceedings of the PCE 2001 Conference, Antwerp, Netherland, pp. 273-286.
  3. Carlton, J., 2012. Marine Propellers and Propulsion, third ed. Butterworth-Heinemann, Oxford.
  4. CD-adapco, 2014. USER GUID STAR-CCM+, Version 9.02.
  5. Demirel, Y.K., Khorasanchi, M., Turan, O., Incecik, A., Schultz, M.P., 2014. A CFD model for the frictional resistance prediction of antifouling coatings. Ocean Eng. 89, 21-31. https://doi.org/10.1016/j.oceaneng.2014.07.017
  6. Demirel, Y.K., Turan, O., Incecik, A., 2017. Predicting the effect of biofouling on ship resistance using CFD. Appl. Ocean Res. 62, 100-118. https://doi.org/10.1016/j.apor.2016.12.003
  7. Granville, P.S., 1958. The Frictional Resistance and Turbulent Boundary Layer of Rough Surfaces. Hydromechanics Laboratory research and development report.
  8. Granville, P.S., 1987. Three indirect methods for the drag characterization of arbitrarily rough surfaces on flat plates. J. Ship Res. 31 (1), 70-77. https://doi.org/10.5957/jsr.1987.31.1.70
  9. Izaguirre Alza, P., Perez Rojas, L., Nunez Basanez, J.F., 2010. Drag reduction through special paints coated on the hull. In: International Conference on Ship Drag Reduction SMOOTH-SHIPS, Istanbul, Turkey.
  10. Kim, W.J., Van, S.H., Kim, D.H., 2001. Measurement of flows around modern commercial ship models. Exp. Fluid 31 (5), 567-578. https://doi.org/10.1007/s003480100332
  11. Kwon, Y.J., 2003. A research on ship speed performance. J. Ocean Eng. Technol. 17(2), 67-71.
  12. Kwon, Y.J., Choo, D.K., 1996. A research on ship hull roughness: estimation method and effect on ship performance. Trans. Soc. Nav. Archit. Korea 33 (2), 30-35.
  13. Menter, F.R., 1994. Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J. 32, 1598-1605. https://doi.org/10.2514/3.12149
  14. ISO 15016, 2002. Ships and Marine Technology-Guidelines for the Assessment of Speed and Power Performance by Analysis of Speed Trial Data.
  15. Paik, B.G., Kim, K.Y., Cho, S.R., Ahn, J.W., Cho, S.R., Kim, K.R., Chung, Y.U., 2013. Study on the drag performance of the flat plates treated by antifouling paints. J. Soc. Nav. Archit. Korea 50 (6), 399-406. https://doi.org/10.3744/SNAK.2013.50.6.399
  16. Schultz, M.P., 2004. Frictional resistance of antifouling coating system. J. Fluids Eng. 126 (6), 1039-1047. https://doi.org/10.1115/1.1845552
  17. Schultz, M.P., 2007. Effects of coating roughness and biofouling on ship resistance and powering. Biofouling 23 (5), 331-341. https://doi.org/10.1080/08927010701461974
  18. Seok, J., Park, J.C., Shin, M.S., Kim, S.Y., 2015. Fundamental study for predicting ship resistance performance due to change of water temperature and salinity in Korea straits. J. Ocean Eng. Technol. 29 (6), 418-426. https://doi.org/10.5574/KSOE.2015.29.6.418
  19. Sulaiman, O., Saharuddin, A.H., Kader, A., Samo, K.B., 2010. Qualitative method for antifouling long life paint for marine facilities or system. Biosci. Biotech. Res. Asia 7 (2), 675-688.
  20. Townsin, R.L., 1985. The ITTC Line-Its Genesis and Correlation Allowance. The Naval Architect, London, UK.
  21. Usta, O., Korkut, E., 2013. A Study for the Effect of Surface Roughness on Resistance Characteristics of Flat Plates. Marine Coatings, London, UK.

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