Review of passive control of flow past a circular cylinder

Ran, Yize; Deng, Zong Quan; Yu, Haiyang; Chen, Wenli; Gao, Donglai

doi:10.1007/s12650-022-00858-3

Cited by 18 publications

(4 citation statements)

References 68 publications

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“…Additionally, there have been studies on enhancing VIV of a circular cylinder through artificial neural networks trained through deep reinforcement learning, [20,21] reducing hydrodynamic signatures and increasing hydrodynamic stealth through windward-suction-leeward-blowing actuators and data-driven deep reinforcement learning [22] and eliminating VIV of a cylinder through active learning and reinforcement learning. [23,24] Furthermore, DNN approaches have been used for estimating unknown parameters in numerical models of VIV, [25] predicting the dynamic responses of converters and generating optimal power [26] and predicting lift and drag forces in VIV. [27] These approaches have been developed for identifying unknown parameters in highly nonlinear fluid-solid interaction systems.…”

Section: Doi: 101002/aisy202300457mentioning

confidence: 99%

An Autoencoder‐Based Deep‐Learning Method for Augmenting the Sensing Capability of Piezoelectric Microelectromechanical System Sensors in a Fluid‐Dynamic System

Kazemzadeh,

Mehdipour,

De Vittorio

et al. 2023

Advanced Intelligent Systems

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Herein, an innovative deep‐learning architecture is proposed to enhance the sensing capabilities of a microelectromechanical system (MEMS) used in fluid dynamic applications. The MEMS sensor comprises a polyvinylidene fluoride flexible (PVDF) piezoelectric flag and a bluff body, with vortex generation influenced not only by the bluff body's geometry but also by the input fluid speed. As a result, mechanical vibrations are induced in the piezoelectric flag, leading to charge displacement and the generation of electrical voltage signals. Through the developed deep learning method, accurate extraction of wind speed and successful classification of turbulence are achieved. Experimental tests in a wind tunnel, involving various wind speeds and bluff body geometries, demonstrate the robust correlation between the extracted continuous manifold in Fourier spectra and wind speed. By incorporating a feed‐forward network alongside the autoencoder, wind speed information even under strong turbulence is extracted. Moreover, the deep learning method's ability to classify different bluff bodies, independent of wind speed, is investigated. The findings reveal a unique capability to fingerprint turbulence and distinguish them for various applications. This research showcases the potential of our deep learning‐based MEMS systems for enhancing fluid dynamic sensing and classification tasks.

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Section: Doi: 101002/aisy202300457mentioning

confidence: 99%

An Autoencoder‐Based Deep‐Learning Method for Augmenting the Sensing Capability of Piezoelectric Microelectromechanical System Sensors in a Fluid‐Dynamic System

Kazemzadeh,

Mehdipour,

De Vittorio

et al. 2023

Advanced Intelligent Systems

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“…The application of passive flow control techniques to alleviate the vortex shedding of cylindrical bodies has grown significantly in recent years. Ran et al (2022) give a comprehensive review of many types of cylinder passive flow control techniques: splitter plates, grooves, screens, rough surfaces, spirals and helical plates, slit passive jets, control rods, vortex generators and coating by porous media (the latter is the focus of this study). The porous coated cylinder (PCC) has been studied at length in recent years, with the most commonly investigated types of media being open-cell porous materials (Ran et al 2022).…”

Section: Introductionmentioning

confidence: 99%

“…The porous coated cylinder (PCC) has been studied at length in recent years, with the most commonly investigated types of media being open-cell porous materials (Ran et al. 2022).…”

Section: Introductionmentioning

confidence: 99%

Internal shear layer and vortex shedding development of a structured porous coated cylinder using tomographic particle image velocimetry

et al. 2023

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Vortex shedding in the wake of a cylinder in uniform flow can be suppressed via the application of a porous coating; however, the suppression mechanism is not fully understood. The internal flow field of a porous coated cylinder (PCC) can provide a deeper understanding of how the flow within the porous medium affects the wake development. A structured PCC (SPCC) was three-dimensionally printed using a transparent material and tested in water tunnel facilities using flow visualisation and tomographic particle image velocimetry at outer-diameter Reynolds numbers of $Re = 7 \times 10^{3}$ and $7.3 \times 10^{4}$ , respectively. The internal and near-wall flow fields are analysed at the windward and mid-circumference regions. Flow stagnation is observed in the porous layer on the windward side and its boundary is shown to fluctuate with time in the outermost porous layer. This stagnation region generates a quasi-aerodynamic body that influences boundary layer development on the SPCC inner diameter, that separates into a shear layer within the porous medium. For the first time via experiment, spectral content within the separated shear layer reveals vortex shedding processes emanating through single pores at the outer diameter, providing strong evidence that SPCC vortex shedding originates from the inner diameter. Velocity fluctuations linked to this vortex shedding propagate through the porous layers into the external flow field at a velocity less than that of the free stream. The Strouhal number linked to this velocity accurately predicts the SPCC vortex shedding frequency.

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“…As for passive control, there is no power input required; flow control is performed by structural modification on the body or adding some instruments to the flow area [8]. In literature, there are a lot of passive flow control techniques.…”

Section: Introductionmentioning

confidence: 99%

Base Bleed Flow Control Tool for Circular Cylinders with three Side-By-Side Arrangements in Shallow Water

Akar

AKILLI

2023

IJPTE

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In this study, Particulate Image Velocimetry (PIV) was utilized to determine the flow characteristics of three side-by-side circular cylinders with a base bleed. The height of the water was set as hW=20 mm which has characteristics of shallow water and flow images were captured from an elevation of hL/hW= 0.5 (mid-plane of water height). The freestream velocity of water and circular cylinder diameters were chosen as U∞=0.125 m/sec and D=40 mm, respectively which are the corresponding Reynolds number of ReD=5000. Three different gap/diameter ratios between the cylinders were tested as G/D=1.0, 1.25, and 1.5 throughout the experiments. As a passive flow control technique, base bleed slots located through the cylinders were used with the dimensionless width ratio of B/D= 0.05 to 0.25 with 0.05 increment. As a result of the study, the base bleed was found out an effective way to control unsteady wake. Besides, whereas the increasing height of VSP results in further decrement turbulence statistics, Increasing the width of base bleed leads to a reduction of maximum Reynolds shear stress concentration. Nevertheless, jet deflection flow cannot be avoided for the G/D=1.25 while, flow deflection is avoided with all base bleed case the gap ratio increases to G/D=1.5. The wake size of each cylinder is almost the same for G/D=1.5.

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Review of passive control of flow past a circular cylinder

Cited by 18 publications

References 68 publications

An Autoencoder‐Based Deep‐Learning Method for Augmenting the Sensing Capability of Piezoelectric Microelectromechanical System Sensors in a Fluid‐Dynamic System

An Autoencoder‐Based Deep‐Learning Method for Augmenting the Sensing Capability of Piezoelectric Microelectromechanical System Sensors in a Fluid‐Dynamic System

Internal shear layer and vortex shedding development of a structured porous coated cylinder using tomographic particle image velocimetry

Base Bleed Flow Control Tool for Circular Cylinders with three Side-By-Side Arrangements in Shallow Water

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