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Analysis of a marine propeller operating in oblique flow. Part 2: Very high incidence angles

Academic Article
Publication Date:
2014
abstract:
The analysis of a propeller operating in off-design conditions is one of the most attractive and challenging topics in naval hydrodynamics, because of its close connections with different aspects of ship design and performances. For these reasons, wake dynamics and propeller loads are analyzed in the present paper by means of a numerical code based on the solution of the Reynolds averaged Navier-Stokes equations, whose capability to capture propeller hydrodynamics in these extreme conditions are also investigated. The test case considered is the CNR-INSEAN E779A propeller model, for which a detailed experimental database exists for axial flow conditions; propeller geometry and computational domain are discretized by means of an overlapping grid approach.A wide range of incidence angles (10-50°) at two different loading conditions are considered, in order to analyze the propeller performance during severe off-design conditions, similar to those experienced during very complicated maneuvering scenarios. Details of average and instantaneous loads are reported, for both the complete propeller and for a single blade.The present paper is an extension of the analysis of propeller performance in oblique flow, recently proposed in [1]; here, the focus is on propeller performance at very high angle of incidence. The k - {small element of} and a DES turbulence models have been exploited also, in order to provide a reliable verification of the numerical results in the absence of experimental data in these extreme operating conditions. © 2013 Elsevier Ltd.
Iris type:
01.01 Articolo in rivista
Keywords:
Blade loads; CFD; Dynamic overlapping grids; Leading edge vortex; Propeller hydrodynamics at high incidence; Turbulence models
List of contributors:
Dubbioso, GIULIO ANTONINO; DI MASCIO, Andrea; Muscari, Roberto
Authors of the University:
DUBBIOSO GIULIO ANTONINO
MUSCARI ROBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/225031
Published in:
COMPUTERS & FLUIDS
Journal
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