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Integrated Lifting Line Theory and RANS Simulation for Propeller Design and Hydrodynamics Prediction |
YANG Qiong-Fang, WANG Yong-Sheng, HUANG Bin, LIU Deng-Cheng |
(1. College of Naval Architecture and Marine Power, Naval University of Engineering, Wuhan 430033, China; 2. China Ship Scientific Research Center, Wuxi 214082, Jiangsu, China) |
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Abstract Both of the Lerbs nonoptimum propellers theory and Epps optimum circulation distribution theory were adopted to enlarge the propeller traditional liftingline preliminary design to open water performance curves prediction. All of the DTMB 4119, 4381, 4382, 4497 propellers’ offdesign performances were analyzed by this method. The precision of the Epps method is higher than that of Lerbs, and is fit for engineering preliminary analysis. With furthering away from the design point (low and high advance coefficients), the prediction difference gets larger, and the skew angle amplitude and the rake exist will also increase the prediction error. To overcome the moderately loaded limit and analyze blade cavitation performance comprehensively within the viscous field, the liftingline theory and RANS simulation were integrated to enhance offdesign hydrodynamic characteristics prediction. The blade section offsets input to RANS calculation were obtained from liftingline method. Blade geometry modeling and hex meshes were both completed by procedure control. After analysis of mesh sensitive effects on RANS simulation, the calculated thrust and torque coefficient and pressure coefficient distribution are all fit well with the experiment. After the mixture homogeneous cavitation model is adopted into the RANS simulation, the results quantitatively present the blade tip vortex filament’s helical track within a little distance, in which the smallest pressure magnitude can be combined with the cavitation bucket performance of the biggest load section to relatively determine the propeller’s cavitation performance. The numerical system for propeller parametric design and noncavitation and cavitation hydrodynamic performances prediction based on hydrodynamics was constructed.
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Published: 29 April 2011
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