Numerical simulation of flow control around a rectangular cylinder by dielectric barrier discharge plasma actuators

Lee, Keunseob; Kozato, Yasuaki; Kikuchi, Satoshi; Imao, Shigeki

doi:10.1063/5.0096067

Cited by 14 publications

(1 citation statement)

References 22 publications

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“…19 In comparison with other flow control techniques, DBD plasma actuators have lower power consumption; are easy to handle; no movement of mechanical parts; lightweight; inexpensive to build, implement, and maintain; and have high-frequency response permitting real-time operating parameters. [20][21][22] DBD is also known as silent discharge; it is constituted by two different electrodes with a dielectric layer between them. Usually, one electrode is grounded, whereas the other relates to high voltage excitation in the range of kV.…”

Section: Introductionmentioning

confidence: 99%

Identification of flow structures in a closed chamber in the presence of a needle plasma actuator

2022

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This study deals with the experimental characterization of the induced flow dynamics by a disk-needle type plasma actuator driven by sinusoidal generator and located in a rectangular cross-section burner. Flow characterization was performed using different plasma actuation conditions and standoff distances. Experiments were conducted under non-reactive flow conditions. An electrical characterization was carried out. Airflow behaviour was also analyzed using smoke flow visualization. Smoke flow visualization showed the dynamic behavior of the plasma induced flow . Post-processing of high-quality images was performed by using Proper Orthogonal Decomposition (POD) technique to recognize the dominant flow vortexes and coherent structures. This could help to design the plasma actuation in real combustors as well as could be useful for the implementation of numerical models. Moreover, it has been concluded that flow dynamics can be controlled by a variation of the plasma power or of the gap distance between two electrodes. Laser Doppler Velocimetry (LDV) was used to investigate the distribution of flow velocities and turbulent kinetic energy at different plasma power values of the sinusoidal AC generator and standoff distances. From POD and LDV analyses, it has been observed that there is a quite linear relation between POD energy of the first mode and the maximum turbulent kinetic energy (TKE). The proper orthogonal decomposition (POD) method could be used to identify motions in the flow field carrying the most turbulent kinetic energy (TKE). TKE peaks are present in the area with the most energetic flow structures, as identified by the POD.

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Section: Introductionmentioning

confidence: 99%

Identification of flow structures in a closed chamber in the presence of a needle plasma actuator

2022

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Low-temperature plasma simulation based on physics-informed neural networks: Frameworks and preliminary applications

Zhong

Wang

2022

Physics of Fluids

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Plasma simulation is an important and sometimes only approach to investigating plasma behavior. In this work, we propose two general AI-driven frameworks for low-temperature plasma simulation: Coefficient-Subnet Physics-Informed Neural Network (CS-PINN) and Runge-Kutta Physics-Informed Neural Network (RK-PINN). CS-PINN uses either a neural network or an interpolation function (e.g. spline function) as the subnet to approximate solution-dependent coefficients (e.g. electron-impact cross sections, thermodynamic properties, transport coefficients, et al.) in plasma equations. On the basis of this, RK-PINN incorporates the implicit Runge-Kutta formalism in neural networks to achieve a large-time-step prediction of transient plasmas. Both CS-PINN and RK-PINN learn the complex non-linear relationship mapping from spatio-temporal space to equation's solution. Based on these two frameworks, we demonstrate preliminary applications by four cases covering plasma kinetic and fluid modeling. The results verify that both CS-PINN and RK-PINN have good performance in solving plasma equations. Moreover, RK-PINN has ability of yielding a good solution for transient plasma simulation with not only large time step but also limited noisy sensing data.

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Active proportional feedback control of turbulent flow over a circular cylinder with averaged velocity sensor

Yun

Lee

2022

Physics of Fluids

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In the present study, we perform an active proportional (P) feedback control of laminar and turbulent flows over a circular cylinder with an averaged velocity sensor to reduce its drag and lift fluctuations. As a sensor for the feedback control, we adopt an averaged transverse velocity on the centerline of the wake. For the averaging of the transverse sensing velocity, we consider both temporal averaging over a finite period and spatial averaging in the spanwise direction. As a control input, the blowing/suction actuation is provided on the cylinder surface near the flow separation, and its magnitude is linearly proportional to the averaged transverse sensing velocity. With the control, the fluctuations of the transverse sensing velocity are significantly reduced and the vortices right after the cylinder and the K\'{a}rm\'{a}n vortex shedding in the wake are weakened, resulting in substantial reductions of the mean drag and lift fluctuations. Furthermore, it is shown that the adoption of the averaged sensing velocity makes the P control successful for a wider range of sensing locations in laminar flow at $Re=100$, and is essential for the success of the P control in turbulent flow at $Re=3900$. With the optimal control parameters, the reductions of the mean drag and lift fluctuations for turbulent flow at $Re=3900$ are about 11\% and 61\%, respectively. The present P control maintains the magnitude of the blowing/suction actuation less than $1\%$ of the free-stream velocity, and thus the control input power is very small, leading to an excellent control efficiency.

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Numerical simulation of flow control around a rectangular cylinder by dielectric barrier discharge plasma actuators

Cited by 14 publications

References 22 publications

Identification of flow structures in a closed chamber in the presence of a needle plasma actuator

Identification of flow structures in a closed chamber in the presence of a needle plasma actuator

Low-temperature plasma simulation based on physics-informed neural networks: Frameworks and preliminary applications

Active proportional feedback control of turbulent flow over a circular cylinder with averaged velocity sensor

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