4.7 Article

Numerical analysis of a propeller during heave motion in cavitating flow

期刊

APPLIED OCEAN RESEARCH
卷 66, 期 -, 页码 131-145

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.apor.2017.05.001

关键词

Propeller; Heave motion; Overset grid; Numerical simulation

资金

  1. National Natural Science Foundation of China [41176074, 51409063, 51209048]
  2. Fundamental Research Funds for the Central Universities [P013513013]
  3. Ministry of Industry and Information Technology of China [G014613002]
  4. Specialized Research Fund for the Doctoral Program of Higher Education [20102304120026]

向作者/读者索取更多资源

In practical maritime conditions, ship hulls experience heave motion due to the action of waves, which can further drive the ship's propellers to oscillate relative to the surrounding water. In order to investigate the motion of a propeller working behind a surface vessel sailing in waves, a numerical simulation is conducted on a propeller impacted by heave motion in cavitating flow using the Reynolds-averaged Navier-Stokes (RANS) method. The coupling of the propeller's rotation and translation is fulfilled using equations of motion defined for this purpose. The heave motion is simplified as a periodic motion based on a sinusoidal function. The numerical transmission of information from the unsteady flow field is achieved using the overset grid approach. In this manner, the unsteady thrust coefficient and torque coefficient of propellers in different periods of heave motion are analyzed. A comparative study is implemented on the unsteady cavitation performance and wake characteristics of propeller. With the propeller's heave motion, the flow field non-uniformity constantly changes the load on the propeller during each revolution period and each heaving period, the propeller load and the wake field are closely related to the variation of heave motion period. The results obtained from the numerical simulation are expected to serve as a useful theoretical reference for the numerical analysis of a propeller in a heave motion. (C) 2017 Elsevier Ltd. All rights reserved.

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