Year 2025,
Volume: 21 Issue: 1, 25 - 49
Muhammed Çınar
,
Ferhat Dikmen
,
Hakan Uçar
References
- Carlton, J. S. (2006). Marine propellers and propulsion (2nd ed.). Butterworth-Heinemann Ltd.
- Carrica, P. M., Castro, A. M., & Stern, F. (2010). “Self-propulsion computations using a speed controller and a discretized propeller with dynamic overset grids.” Journal of Marine Science and Technology, Vol.15, pp. 316–330. doi:10.1007/s00773-010-0098-6.
- Carrica, P. M., Fu, H., & Stern, F. (2011). “Computations of self-propulsion free to sink and trim and of motions in head waves of the KRISO container ship (KCS) model.” Journal of Applied Ocean Research, Vol.33, pp. 309–320. doi:10.1016/j.apor.2011.07.003.
- Castro, A. M., Carrica, P. M., & Stern, F. (2011). “Full scale self-propulsion computations using discretized propeller for the KRISO container ship KCS.” Journal of Computers & Fluids, Vol.51, pp. 35–47. doi:10.1016/j.compfluid.2011.07.003.
- Feng, D., Ye, B., Zhang, Z., & Wang, X. (2020). “Numerical simulation of the ship resistance of KCS in different water depths for model-scale and full-scale.” Journal of Marine Science and Engineering. doi:10.3390/jmse8100745.
- Fujisava J., Ukon Y., Kume K., Takeshi H. (2000). “Local velocity field measurements around the KCS model (SRI M.S. No. 631) in the SRI 400M towing tank.” Report of Ship Performance Division, Tokyo, Japan.
- ITTC (International Towing Tank Conference), (2017). Uncertainty analysis in CFD verification and validation methodology and procedures.
- ITTC Quality System Manual. (2014). Recommended procedures and guidelines: Open water test.
- Kim J.. (2015). “Report of the results for KCS resistance & Self-Propulsion (Case 2-1, 2-5, and 2-7).” A Workshop on CFD in Ship Hydrodynamics. KRISO, Korea. https://www.t2015.nmri.go.jp.
- Kinaci, O. K., Gokce, M. K., Alkan, A. D., & Kukner, A. (2018). “On self-propulsion assessment of marine vehicles.” Brodogradnja , Vol.69, No.4, pp. 29-51, 2018. doi:10.21278/brod69403.
- Seo, J. H., Seol, D. M., Lee, J. H., & Rhee, S. H. (2010). “Flexible CFD meshing strategy for prediction of ship resistance and propulsion performance.” International Journal of Naval Architecture and Ocean Engineering, Vol. 2, pp. 139-145. doi:10.2478/IJNAOE-2013-0030.
- Seok, W., Lee, S. B., & Rhee, S. H. (2019). “Computational simulation of turbulent flows around a marine propeller by solving the partially averaged Navier-Stokes equation.” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 233, Issue 18, pp. 6357-6366. doi:10.1177/0954406219848021.
- Shen, Z., Wan, D., & Carrica, P. M. (2015). “Dynamic overset grids in OpenFOAM with application to KCS self-propulsion and maneuvering.” Ocean Engineering, Vol. 108, pp. 287–306. doi:10.1016/j.oceaneng.2015.07.035.
- Tsukada Y., Hori T., Ukon Y., Kume K., Takeshi H. (2000). “Tokyo Surface pressure measurements on the KCS model (SRI M.S. No. 631) in the SRI 400M towing tank.” Report of Ship Performance Division, Japan.
- Wan, D., Wang, J., Liu, X., & Chen, G. (2016). “Numerical prediction of KCS self-propulsion in shallow water.” 26th International Ocean and Polar Engineering Conference, Rhodes, Greece, June 2016.
- Zhang, Z. (2010). “Verification and validation for RANS simulation of KCS container ship without/with propeller”. Journal of Hydrodynamics, Vol. 22, Issue 5, pp. 932-939.doi:10.1016/S1001-6058(10)60055-8.
A Case Study For KCS Ship Self Propulsion Performance Via Computational Fluid Dynamics
Year 2025,
Volume: 21 Issue: 1, 25 - 49
Muhammed Çınar
,
Ferhat Dikmen
,
Hakan Uçar
Abstract
This paper presents a numerical investigation for validating KCS ship self propulsion performance characteristics by using RANS solution method and k-ω SST turbulance modeling. As the first stage of the self propulsion analysis examining the hull-propeller interaction, the propeller open water validation study is carried out. The aim of the propeller open water validation is verifying the correctness of the numerical results of propeller thrust and torque values obtained from numerical analysis. To estimate the propulsive performance of the KCS ship hull, the self propulsion variables thrust coefficient (KT) and torque coefficient (KQ) are calculated and local velocity wake field around the propeller and pressure distribution on the hull which are essantial for ship and propeller design are simulated. In order to solve the viscous flow around the propeller and hull more accurately, the optimum mesh element size is determined by performing a mesh sensitivity analysis during mesh generation process. This approach allows the reducing of numerical solution time and computer requirements to the optimum level by determining the most appropriate mesh size to be used in the model. In order to validate the numerical method used in the current study, the calculated values are compared with the test results.
Ethical Statement
Yüksek Lisans Tez Danışmanım Prof. Dr. Ferhat DİKMEN ve eş danışmanım Doç. Dr. Müh. Alb. Hakan UÇAR sorumluluğunda tarafımca hazırlanan “A Case Study For KCS Ship Self Propulsion Performance Via Computational Fluid Dynamics” başlıklı çalışmada veri toplama ve veri kullanımında gerekli yasal izinleri aldığımı, diğer kaynaklardan aldığım bilgileri ana metin ve referanslarda eksiksiz gösterdiğimi, araştırma verilerine ve sonuçlarına ilişkin çarpıtma ve/veya sahtecilik yapmadığımı, çalışmam süresince bilimsel araştırma ve etik ilkelerine uygun davrandığımı beyan ederim. Beyanımın aksinin ispatı halinde her türlü yasal sonucu kabul ederim.
Supporting Institution
Yıldız Teknik Üniversitesi , Deniz Kuvvetleri Komutanlığı Dizayn Proje Ofisi Müdürlüğü
Thanks
Yüksek lisans çalışmam boyunca ve bu makalenin türetilmesinde yardım ve katkılarını esirgemeyen danışman hocam Prof. Dr. Ferhat DİKMEN’ e, çalışmamın her aşamasını yakından takip ederek bilgi ve tecrübelerini eksik etmeyen eş danışmanım Doç. Dr. Müh. Alb. Hakan UÇAR’ a ve değerli yardımlarıyla yanımda olan Dr. Müh. Bnb. Mustafa KÜLTÜR’ e teşekkürlerimi sunarım.
References
- Carlton, J. S. (2006). Marine propellers and propulsion (2nd ed.). Butterworth-Heinemann Ltd.
- Carrica, P. M., Castro, A. M., & Stern, F. (2010). “Self-propulsion computations using a speed controller and a discretized propeller with dynamic overset grids.” Journal of Marine Science and Technology, Vol.15, pp. 316–330. doi:10.1007/s00773-010-0098-6.
- Carrica, P. M., Fu, H., & Stern, F. (2011). “Computations of self-propulsion free to sink and trim and of motions in head waves of the KRISO container ship (KCS) model.” Journal of Applied Ocean Research, Vol.33, pp. 309–320. doi:10.1016/j.apor.2011.07.003.
- Castro, A. M., Carrica, P. M., & Stern, F. (2011). “Full scale self-propulsion computations using discretized propeller for the KRISO container ship KCS.” Journal of Computers & Fluids, Vol.51, pp. 35–47. doi:10.1016/j.compfluid.2011.07.003.
- Feng, D., Ye, B., Zhang, Z., & Wang, X. (2020). “Numerical simulation of the ship resistance of KCS in different water depths for model-scale and full-scale.” Journal of Marine Science and Engineering. doi:10.3390/jmse8100745.
- Fujisava J., Ukon Y., Kume K., Takeshi H. (2000). “Local velocity field measurements around the KCS model (SRI M.S. No. 631) in the SRI 400M towing tank.” Report of Ship Performance Division, Tokyo, Japan.
- ITTC (International Towing Tank Conference), (2017). Uncertainty analysis in CFD verification and validation methodology and procedures.
- ITTC Quality System Manual. (2014). Recommended procedures and guidelines: Open water test.
- Kim J.. (2015). “Report of the results for KCS resistance & Self-Propulsion (Case 2-1, 2-5, and 2-7).” A Workshop on CFD in Ship Hydrodynamics. KRISO, Korea. https://www.t2015.nmri.go.jp.
- Kinaci, O. K., Gokce, M. K., Alkan, A. D., & Kukner, A. (2018). “On self-propulsion assessment of marine vehicles.” Brodogradnja , Vol.69, No.4, pp. 29-51, 2018. doi:10.21278/brod69403.
- Seo, J. H., Seol, D. M., Lee, J. H., & Rhee, S. H. (2010). “Flexible CFD meshing strategy for prediction of ship resistance and propulsion performance.” International Journal of Naval Architecture and Ocean Engineering, Vol. 2, pp. 139-145. doi:10.2478/IJNAOE-2013-0030.
- Seok, W., Lee, S. B., & Rhee, S. H. (2019). “Computational simulation of turbulent flows around a marine propeller by solving the partially averaged Navier-Stokes equation.” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 233, Issue 18, pp. 6357-6366. doi:10.1177/0954406219848021.
- Shen, Z., Wan, D., & Carrica, P. M. (2015). “Dynamic overset grids in OpenFOAM with application to KCS self-propulsion and maneuvering.” Ocean Engineering, Vol. 108, pp. 287–306. doi:10.1016/j.oceaneng.2015.07.035.
- Tsukada Y., Hori T., Ukon Y., Kume K., Takeshi H. (2000). “Tokyo Surface pressure measurements on the KCS model (SRI M.S. No. 631) in the SRI 400M towing tank.” Report of Ship Performance Division, Japan.
- Wan, D., Wang, J., Liu, X., & Chen, G. (2016). “Numerical prediction of KCS self-propulsion in shallow water.” 26th International Ocean and Polar Engineering Conference, Rhodes, Greece, June 2016.
- Zhang, Z. (2010). “Verification and validation for RANS simulation of KCS container ship without/with propeller”. Journal of Hydrodynamics, Vol. 22, Issue 5, pp. 932-939.doi:10.1016/S1001-6058(10)60055-8.