Numerical Study of a Flap Rudder Based on Turbulence Model LES

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Abstract:

The flap rudder flow field at Re 1.4×106 is calculated using computational fluid dynamics (CFD) method. Large eddy simulation (LES) turbulence model is adopted. The results shows that boundary layer separation phenomenon appears in flap after the gap, and as angle of flap (AOF) is increased, the separation tends to asymmetry, the pressure fluctuation range is becomes higher. There is no eddy in gap when AOF is 0°, but as AOF increases, the eddy in gap appears because of the pressure difference between two sides of the rudder.

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240-243

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August 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Kim K. Y., Ahn J. W., Park S. Influence on the rudder gap cavitation by the scaling of its clearance. Ocean Engineering. 35, 1707~1715(2008).

DOI: 10.1016/j.oceaneng.2008.09.005

Google Scholar

[2] Kinnas. S.A., Lee. H., Gu. H. Prediction of sheet cavitation on a rudder subject to propeller flow. Journal of Ship Research. 51(1), 65~75 (2007).

DOI: 10.5957/jsr.2007.51.1.65

Google Scholar

[3] Shin. H. R., Changmin. L., Hee B. L. Rudder gap cavitation: undamental understanding and its suppression devices. International Journal of Heat and Fluid Flow. 31, 640~650(2010).

DOI: 10.1016/j.ijheatfluidflow.2010.02.013

Google Scholar

[4] Sunho. P., Jaekyung. H., Byeongseok Y. Numerical study on the gap flow of a semi-spade rudder to reduce gap cavitation. J Mar Sci Technol. 15, 78–86 (2010).

DOI: 10.1007/s00773-009-0075-0

Google Scholar

[5] Fluent.: Fluent6. 3 user's guide. Lebanon: New Hampshire (USA) Fluent Inc(2006).

Google Scholar

[6] Gelan Yang, Xue Xu, Gang Yang and Jianming Zhang Semi-supervised Classification by Local Coordination Lecture Notes in Computer Science, 2010, Volume 6444, Neural Information Processing. Models and Applications, Pages 517-524.

DOI: 10.1007/978-3-642-17534-3_64

Google Scholar

[7] Gelan Yang, Xue Xu, Gang Yang and Jianming Zhang Research of Local Approximation in Semi-Supervised Manifold Learning Journal of Information & Computational Science, 2010 Vol. 7 (13) : 2681- 2688.

Google Scholar