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Open AccessArticle

Method for the Calculation of the Underwater Effective Wake Field for Propeller Optimization

1
School of Economics and Management, Harbin Engineering University, Harbin 150001, China
2
College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China
*
Author to whom correspondence should be addressed.
Water 2019, 11(1), 165; https://doi.org/10.3390/w11010165
Received: 12 December 2018 / Revised: 10 January 2019 / Accepted: 14 January 2019 / Published: 17 January 2019
A quasi-steady prediction model of propeller hydrodynamic performance was established here using the surface panel method to determine the effective wake field of a propeller. The apparent wake field was accurately determined in advance by CFD (Computational Fluid Dynamics). The average of the induced velocity near the front of the propeller was determined by coupling the steady calculation and the unsteady forecast to render the induced velocity field more consistent with the actual situation when the propeller works in a non-uniform flow field. By superimposing the induced velocity near the front of the propeller with the apparent wake field, the effective wake field was able to be determined. Then the induced velocity field was calculated again to determine the new effective wake. An iterative calculation method was used until the hydrodynamic performance converged. The case described here shows that the effective wake obtained by this method can better predict the hydrodynamic performance of the propeller, and it can provide a basis for the design and optimization of the propeller. It was found that the results of the prediction were consistent with the experimental values. View Full-Text
Keywords: propeller optimization; effective wake; surface panel method; hydrodynamic performance propeller optimization; effective wake; surface panel method; hydrodynamic performance
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MDPI and ACS Style

Li, J.; Zhao, D.; Wang, C.; Sun, S.; Ye, L. Method for the Calculation of the Underwater Effective Wake Field for Propeller Optimization. Water 2019, 11, 165.

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