Adjustability and Stability of Flow Control by Periodic Forcing: A Numerical Investigation

Author:

Li Hongbo12,Yu Jiancheng1,Chen Zhier1,Ren Kai1,Tan Zhiduo13

Affiliation:

1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

2. University of Chinese Academy of Sciences, Beijing 100049, China

3. State Key Laboratory of Tribology in Advanced Equipment (SKLD), Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China

Abstract

The efficient and stable application of periodic forcing for drag-reduction can help underwater vehicles operate at high speed for long durations and improve their energy-utilization efficiency. This study considers flow control around a body-of-revolution model subjected to periodic blowing or suction through annular slots. The focus is on the boundary-layer structure, properties, and drag of the control fluid under a wide range of body variables (size, free-flow velocity, slot area, and blowing/suction velocity) and control parameters (normalized periodic-forcing amplitude and relative slot sizes). Body variables differ in their effects on the drag-reduction rate, with the surface pressure pushing the model vehicle when S and v are higher than S0 and v0. In particular, the lowest pressure drag was −26.4 N with v increasing, and the maximum drag-reduction rate of total drag exceeded 135%. At a fixed Reynolds number, increasing the values of the control parameters leads to larger-scale unstable vortex rings downstream from the slots; the surface-velocity gradient is reduced, effectively lowering the drag. A simple model relating the periodic fluctuation of pressure drag to the body variables is developed through quantitative analysis and used to determine navigational stability.

Funder

National Key R&D Program of China

Program of the State Key Laboratory of Robotics at Shenyang Institute of Automation, Chinese Academy of Sciences

Central Leading Local Science and Technology Development Foundation of Liaoning Province

National Natural Science Foundation of China

Fundamental Research Program of Shenyang Institute of Automation, Chinese Academy of Sciences

Publisher

MDPI AG

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