Numerical Prediction of Ship's Self-Propulsion Parameter by Using CFD Method

ABSTRACT: This paper reports the results of numerical simulations of ship self-propulsion using the computational fluid dynamics (CFD) method. The sliding mesh method is utilized to model the actual propeller working behind the ship. In addition, the volume of fluid method was applied to accurately track and solve the free surface. Some several important factors such as mesh generation, time step, turbulence model that can affect the accuracy of the obtained simulation results are discussed in this research. The Benchmark Japanese Bulk Carrier vessel was used in this study as the case study. The numerical obtained results are compared with measured data to verify and validate the numerical results.

KEYWORDS: Numerical Simulation, CFD Method, Flow Model, Self Propulsion Factors, Propeller, Bulk Carriers, Numerical Prediction, Fluid Method

REFERENCES

Le, T.-H., et al., Numerical investigation on the effect of trim on ship resistance by RANSE method. Applied Ocean Research, 2021. 111: p. 102642. - doi:10.1016/j.apor.2021.102642

Choi, J., et al., Resistance and propulsion characteristics of various commercial ships based on CFD results. Ocean engineering, 2010. 37(7): p. 549-566. - doi:10.1016/j.oceaneng.2010.02.007

Tu, T.N., et al., Numerical prediction of propeller-hull interaction characteristics using RANS method. Polish Maritime Research, 2019.

Gokce, M.K., O.K. Kinaci, and A.D. Alkan, Self-propulsion estimations for a bulk carrier. Ships Offshore Structures, 2019. 14(7): p. 656-663. - doi:10.1080/17445302.2018.1544108

Villa, D., S. Gaggero, and S. Brizzolara. Ship Self Propulsion with different CFD methods: from actuator disk to viscous inviscid unsteady coupled solvers. in The10th International Conference on Hydrodynamics. 2012.

Song, K., et al., Simulation strategy of the full-scale ship resistance and propulsion performance. 2021. 15(1): p. 1321-1342. - doi:10.1080/19942060.2021.1974091

Soares, C.G. and T.A. Santos, Progress in Maritime Technology and Engineering: Proceedings of the 4th International Conference on Maritime Technology and Engineering (MARTECH 2018), May 7-9, 2018, Lisbon, Portugal. 2018: CRC Press.

Jasak, H., et al., CFD validation and grid sensitivity studies of full scale ship self propulsion. International Journal of Naval Architecture and Ocean Engineering, 2019. 11(1): p. 33-43. - doi:10.1016/j.ijnaoe.2017.12.004

Hu, J.-m., et al., Prediction of ship power and speed performance based on RANS method. 2017. 64(1-2): p. 51-78. - doi:10.3233/ISP-170137

Castro, A.M., et al., Full scale self-propulsion computations using discretized propeller for the KRISO container ship KCS. 2011. 51(1): p. 35-47. - doi:10.1016/j.compfluid.2011.07.005

Carrica, P.M., A.M. Castro, and F. Stern, Self-propulsion computations using a speed controller and a discretized propeller with dynamic overset grids. Journal of marine science and technology, 2010. 15(4): p. 316-330. - doi:10.1007/s00773-010-0098-6

Chuan, T.Q., et al. Full-Scale Self-propulsion Computations Using Body Force Propeller Method for Series Cargo Ship 12500DWT. in International Conference on Material, Machines and Methods for Sustainable Development. 2020. Springer.

Tu, T.N. and N.M. Chien, Comparison Of Different Approaches For Calculation Of Propeller Open Water Characteristic Using RANSE Method. Naval Engineers Journal, 2018. 130(1): p. 105-111.

Kinaci, O.K., Straight-ahead self-propulsion and turning maneuvers of DTC container ship with direct CFD simulations. Ocean Engineering, 2022. 244: p. 110381. - doi:10.1016/j.oceaneng.2021.110381

Kinaci, O.K., et al., On self-propulsion assessment of marine vehicles. Brodogradnja: Teorija i praksa brodogradnje i pomorske tehnike, 2018. 69(4): p. 29-51. - doi:10.21278/brod69403

Kinaci, O.K., et al., Free-running tests for DTC self-propulsion–An investigation of lateral forces due to the rudder and the propeller. Applied Ocean Research, 2021. 116: p. 102877. - doi:10.1016/j.apor.2021.102877

Gaggero, S., et al., Ship self-propulsion performance prediction by using OpenFOAM and different simplified propeller models, in Progress in Maritime Technology and Engineering. 2018, CRC Press. p. 195-203. - doi:10.1201/9780429505294-23

Sezen, S., et al., Investigation of self-propulsion of DARPA Suboff by RANS method. Ocean Engineering, 2018. 150: p. 258-271. - doi:10.1016/j.oceaneng.2017.12.051

Sezen, S., et al., An investigation of scale effects on the self-propulsion characteristics of a submarine. Applied Ocean Research, 2021. 113: p. 102728. - doi:10.1016/j.apor.2021.102728

Sun, W., et al., Numerical Analysis of Full-Scale Ship Self-Propulsion Performance with Direct Comparison to Statistical Sea Trail Results. Journal of Marine Science and Engineering, 2020. 8(1): p. 24. - doi:10.3390/jmse8010024

Hino, T., et al., Numerical Ship Hydrodynamics: An Assessment of the Tokyo 2015 Workshop. Vol. 94. 2020: Springer Nature. - doi:10.1007/978-3-030-47572-7

https://t2015.nmri.go.jp/Instructions_JBC/instruction_JBC.html. Available from: https://t2015.nmri.go.jp/Instructions_JBC/instruction_JBC.html.

ITTC 2014. Recommended Procedures and Guidelines 7.5-03-02-04. Practical Guidelines for Ship Resistance CFD. Available from: https://www.ittc.info/media/8169/75-03-03-01.pdf.

Tu, T.N., et al., Effects of Turbulence Models On RANSE Computation Of Flow Around DTMB 5415 Vessel. Naval Engineers Journal, 2021. 133(3): p. 137-151.

https://ittc.info/media/1587/75-02-03-011.pdf.

Citation note:

Hoa N.T.N.: Numerical Prediction of Ship's Self-Propulsion Parameter by Using CFD Method. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 18, No. 2, doi:10.12716/1001.18.02.22, pp. 427-432, 2024

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