物理
阻力
机械
流量控制(数据)
功率(物理)
控制理论(社会学)
流量(数学)
还原(数学)
寄生阻力
控制(管理)
热力学
几何学
数学
计算机科学
人工智能
计算机网络
作者
Guoming Deng,Dewei Fan,Bingfu Zhang,Yu Zhou
出处
期刊:Physics of Fluids
[American Institute of Physics]
日期:2024-01-01
卷期号:36 (1)
被引量:2
摘要
An experimental investigation is conducted on the active drag reduction (DR) of an Ahmed body with a rear slant angle of 35°, corresponding to the low-drag regime, using single and combined actuations at the Reynolds number Re = 1.7 × 105. Five different actuations, produced by steady blowing jets, are deployed independently around the edges of the rear slant surface and vertical base, achieving the maximum DR of 1%–9%. An artificial intelligence control system based on ant colony algorithm is used for finding near-optimal control laws of the combined jets. With both DR and control power input considered in the cost function, the maximum DR obtained reaches 18%, though the corresponding control efficiency η (≡ES/EI, where ES and EI are the saved power due to DR and the total input power of the actuations, respectively) is only 0.13. However, η may go up greatly, climbing to 5.8, given a 3% sacrifice of DR. Extensive flow measurements are conducted, with and without control, to understand the flow physics and mechanisms under the control of individual and combined actuations. A linear regression model is established to describe the correlation between the control efficiency and parameters under the combined actuations.
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