Hongqiang Zhang This email address is being protected from spambots. You need JavaScript enabled to view it.1, Daming Li1, Shan Luo1, Minghao Jia1, Zhongmou Sun1, Yanqing Li1, Zhu Zhen1 and Xingye Zhang2

1State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, P.R. China
2CMA CGM Shipping Co., Ltd., Marseille 13000, France


Received: July 19, 2018
Accepted: December 4, 2018
Publication Date: June 1, 2019

Download Citation: ||https://doi.org/10.6180/jase.201906_22(2).0003  


This paper demonstrated time-averaged axial jet velocity at initial plane and jet velocity variations behind propeller from a navigating ship by adopting computational fluid dynamics (CFD) method and particle image velocimetry (PIV) technique. This work established a numerical model of advancing propeller and carried on an experiment of self-propelled ship model, in order to validate the reliability of this model. Research results have shown that jet velocity of CFD prediction were in good agreement with PIV measurement both in near-field and far-field of propeller jet flow, so it could validate that the numerical model of advancing propeller based on CFD method was accurate and reliable.

Keywords: Advancing Propeller, Jet Flow Profiles, Computational Fluid Dynamics, Numerical Simulation, Particle Image Velocimetry, Model Experiment


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