DOI QR코드

DOI QR Code

CFD Simulation on Predicting POW Performance Adopting Laminar-Turbulent Transient Model

층류-난류 천이 모델을 적용한 프로펠러 단독 성능 해석에 관한 CFD 시뮬레이션

  • Kim, Dong-Hyun (Department of Naval Architecture and Ocean Engineering, Pusan National University) ;
  • Jeon, Gyu-Mok (Department of Naval Architecture and Ocean Engineering, Pusan National University) ;
  • Park, Jong-Chun (Department of Naval Architecture and Ocean Engineering, Pusan National University) ;
  • Shin, Myung-Soo (Korea Research Institute of Ships and Ocean Engineering)
  • 김동현 (부산대학교 조선해양공학과) ;
  • 전규목 (부산대학교 조선해양공학과) ;
  • 박종천 (부산대학교 조선해양공학과) ;
  • 신명수 (한국해양과학기술원 부설 선박해양플랜트연구소)
  • Received : 2020.08.07
  • Accepted : 2020.09.29
  • Published : 2021.02.20

Abstract

In the present study, the model-scale Propeller Open Water (POW) tests for the propeller of 176K bulk carrier and 8600TEU container ship were conducted through Computational Fluid Dynamics (CFD) simulation. In order to solve the incompressible viscous flow field, the Reynolds-averaged Navier-Stokes (RaNS) equations were employed as the governing equations. The γ-Reθ(gamma-Re-theta) transition model combined with the SST k-ωturbulence model was introduced to describe the laminar-turbulence transition considering the low Reynolds number of model-scale. Firstly, the flow simulation developing over a flat plate was performed to verify the transition modeling, in which the wall shear stresses were compared with experiments and other numerical results. Then, to investigate the effect of the model, the CFD simulation for the POW test was performed and the simulated propeller performance was validated through comparison with the experiment conducted at Korea Research Institute of Ships & Ocean Engineering (KRISO).

Keywords

References

  1. Abu-Ghannam, B.J. & Shaw, R., 1980. Natural transition of boundary layers-the effects of turbulence, pressure gradient, and flow history. Journal of Mechanical Engineering Science, 22(5), pp.213-228. https://doi.org/10.1243/jmes_jour_1980_022_043_02
  2. Baltazar, J., Rijpkema, D., & de Campos, J.F., 2018. On the use of the γ-Reθt transition model for the prediction of the propeller performance at model-scale. Ocean Engineering, 170, pp.6-19. https://doi.org/10.1016/j.oceaneng.2018.10.005
  3. Bhattacharyya, A., Krasilnikov, V., & Steen, S., 2016. Scale effects on open water characteristics of a controllable pitch propeller working within different duct designs. Ocean Engineering, 112, pp.226-242. https://doi.org/10.1016/j.oceaneng.2015.12.024
  4. Castelli, E.B., Raciti, M. & Grandi, G., 2012. Numerical analysis of laminar to turbulent transition on the DU91-W2-250 airfoil. World Academy of Science, Engineering and Technology.
  5. Coupland, J., 1990. Special interest group on laminar to turbulent transition and retransition: T3A and T3B test cases. European Research Community On Flow, Turbulence And Combustion TR A, 309514.
  6. ITTC, 1993. Final report of the propulsor committee. Proceedings of the 20th ITTC, San Francisco, California, 19-25 September 1993.
  7. Janssen, R.F., 2015. The influence of laminar-turbulent transition on the perfomance of a propeller. TU Delft University.
  8. Joung, T.H., Jeong, S.J. & Lee, S.K., 2014. CFD simulations and experimental tests for three different ducted propellers. Journal of Ocean Engineering and Technology, 28(3), pp.199-208. https://doi.org/10.5574/KSOE.2014.28.3.199
  9. Juhaveikko, A.J., 2001. CFD simulations of a turbulent flow over flat plate. Aalto University MEMO No CFD/THERMO-36-2001.
  10. Kuiper, G., 1981. Cavitation inception on ship propeller models. Netherlands Ship Model Basin, Publ. No. 655.
  11. Langtry, R.B., & Menter, F.R., 2009. Correlation-based transition modeling for unstructured parallelized computational fluid dynamics codes. AIAA journal, 47(12), pp.2894-2906. https://doi.org/10.2514/1.42362
  12. Lee, S.B., 2018. Direct numerical and large eddy simulations of transitional flows around turbulence stimulators at very low speeds. Journal of the Society of Naval Architects of Korea, 55(3), pp.265-273. https://doi.org/10.3744/SNAK.2018.55.3.265
  13. Menter, F.R., Langtry, R.B., Likki, S.R., Suzen, Y.B., Huang, P.G. & Volker, S., 2006. A correlation-based transition model using local variables-part I: model formulation. Journal of turbomachinery, 128(3), pp.413-422. https://doi.org/10.1115/1.2184352
  14. Sasajima, T., 1975. A study on the propeller surface flow in open and behind condition. 14th ITTC, Contribution to Performance Committee.
  15. Seo, S.U. & Park S.H., 2017. Numerical simulations of added resistance and motions of KCS in regular head waves. Journal of the Society of Naval Architects of Korea, 54(2), pp.132-142. https://doi.org/10.3744/SNAK.2017.54.2.132
  16. Seok, J. & Park, J.C., 2020. Numerical simulation of resistance performance according to surface roughness in container ships. International Journal of Naval Architecture and Ocean Engineering, 12, pp.11-19. https://doi.org/10.1016/j.ijnaoe.2019.05.003
  17. Suh, S.B., 2017. CFD analysis of performance of KRISO devices (K-DUCT) for propulsion efficiency improvement. Journal of Ocean Engineering and Technology, 31(3), pp.183-188. https://doi.org/10.5574/KSOE.2017.31.3.183
  18. Tsuda, T., Konishi, S., Asano, S., Ogawa, K. & Hayasaki, K., 1978. Effect of propeller Reynolds number on self-propulsion performance. Japan Society of Naval Architects and Ocean Engineering, 169.
  19. Wang, C. & Perot, B., 2002. Prediction of turbulent transition in boundary layers using the turbulent potential model. Journal of Turbulence, 3(1), pp.1-15. https://doi.org/10.1088/1468-5248/3/1/001
  20. Wang, X. & Walters, K., 2012. Computational analysis of marine-propeller performance using transition-sensitive turbulence modeling. Journal of Fluids Engineering, 134(7), 071107. https://doi.org/10.1115/1.4005729
  21. White, F.M., 2003. Fluid mechanics. McGraw-Hill.
  22. Yang, H.U., Kim, B.N., Yoo, J.H. & Kim, W.J., 2010. Wake comparison between model and full scale ships using CFD. Journal of the Society of Naval Architects of Korea, 47(2), pp.150-162. https://doi.org/10.3744/SNAK.2010.47.2.150
  23. Yongxing, Z. & Kim, D.J., 2020. Optimization approach for a catamaran hull using CAESES and STAR-CCM+. Journal of Ocean Engineering and Technology, 34(4), pp.272-276. https://doi.org/10.26748/KSOE.2019.058