Dynamics and control of the vortex flow behind a slender conical forebody by a pair of plasma actuators

Meng, Xuanshi; Long, Yuexiao; Wang, Jianlei; Liu, Feng; Luo, Shijun

doi:10.1063/1.5005514

Cited by 39 publications

(12 citation statements)

References 19 publications

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“…Such induced airflow can be modulated to achieve active aerodynamic control. [18][19][20][21][22][23][24] It has the advantages of non-mechanical parts, zero reaction time, broad frequency bandwidths, and relatively low energy consumption. Most importantly, the plasma actuators can be conveniently arranged on the surface of the vehicle parts or the wind turbine.…”

Section: Article Scitationorg/journal/phfmentioning

confidence: 99%

Mechanism study of coupled aerodynamic and thermal effects using plasma actuation for anti-icing

Meng

et al. 2019

Physics of Fluids

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Anti-icing performance using the surface dielectric barrier discharge plasma actuator is studied using detailed visualization and surface thermal measurements. To reveal the physical mechanism of coupled aerodynamic and thermal effects on anti-icing, three types of actuators are designed and mounted on a NACA 0012 airfoil. The coupled aerodynamic and thermal effects are confirmed in still air. The results show that the plasma actuation is effective for in-flight anti-icing, and the anti-icing performance is directly related to the design of the plasma actuators based on the coupled aerodynamic and thermal effects. When the direction of plasma induced flow is consistent with the incoming flow, the heat generated by plasma discharge is concentrated in the region of the actuator and the ability of the actuator for heat transfer downstream is relatively weak during the anti-icing. When the induced flow is opposite to the incoming flow, there is less heat accumulation in the actuator region, while the ability of heat transfer downstream becomes stronger. With the consistent and opposite direction of induced flow, the plasma actuation can ensure that 57% and 81% chord of the lower surface of the airfoil are free of the ice accumulation, respectively. Another actuator is designed to induce the air jets approximately perpendicular to the airfoil surface. This exhibits both a stronger ability of heat accumulation locally and heat transfer downstream and hence ensures that there is no ice on the entire lower surface of the airfoil.

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Section: Article Scitationorg/journal/phfmentioning

confidence: 99%

Mechanism study of coupled aerodynamic and thermal effects using plasma actuation for anti-icing

Meng

et al. 2019

Physics of Fluids

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“…Realistic actuation mechanisms, such as plasma actuators (Sato et al, 2015), suction mechanisms (Wang et al, 2016), transverse motion (Li & Aubry, 2003), periodic oscillations (Lu et al, 2011), oscillating foils (Bao & Tao, 2013), air jets (Zhu et al, 2019), or Lorentz forces in conductive media (Breuer et al, 2004), are also discussed in details, as well as limitations imposed by real-wold systems (Belson et al, 2013). Similarly, a lot of experimental work has been performed, with the goal of controlling either the cavitation instability (Che et al, 2019), the vortex flow behind a conical forebody (Meng et al, 2018), or the flow separation over a circular cylinder (Jukes & Choi, 2009a,b). arXiv:1906.10382v2 [physics.comp-ph] 12 Aug 2019 ACCELERATING DRL OF AFC: MULTI-ENV APPROACH AUGUST 13, 2019 Finally, while most of the literature has focused on complex, closed-loop control methods, some open-loop methods have also been discussed, both in simulations (Meliga et al, 2010) and in experiments (Shahrabi, 2019).…”

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confidence: 99%

Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach

2019

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Deep Reinforcement Learning (DRL) has recently been proposed as a methodology to discover complex Active Flow Control (AFC) strategies [Rabault, J., Kuchta, M., Jensen, A., Réglade, U., & Cerardi, N. (2019): "Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control", Journal of Fluid Mechanics, 865, 281-302]. However, while promising results were obtained on a simple 2D benchmark flow at a moderate Reynolds number, considerable speedups will be required to investigate more challenging flow configurations. In the case of DRL trained with Computational Fluid Dynamics (CFD) data, it was found that the CFD part, rather than training the Artificial Neural Network, was the limiting factor for speed of execution. Therefore, speedups should be obtained through a combination of two approaches. The first one, which is well documented in the literature, is to parallelize the numerical simulation itself. The second one is to adapt the DRL algorithm for parallelization. Here, a simple strategy is to use several independent simulations running in parallel to collect experiences faster. In the present work, we discuss this solution for parallelization. We illustrate that perfect speedups can be obtained up to the batch size of the DRL agent, and slightly suboptimal scaling still takes place for an even larger number of simulations. This is, therefore, an important step towards enabling the study of more sophisticated Fluid Mechanics problems through DRL.

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“…Previously, several experimental demonstrations have been carried out on the effective control of flow dynamics using different DBD plasma actuator configurations 14,16,[24][25][26][27] and actuation types. 28,29 Adding to this, Bernard et al 4,5 performed an experimental study to analyze the impacts of AC-DBDPA on turbulent air jets by using an high voltage (HV) sinusoidal generator with or without pulsation mode.…”

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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Dynamics and control of the vortex flow behind a slender conical forebody by a pair of plasma actuators

Cited by 39 publications

References 19 publications

Mechanism study of coupled aerodynamic and thermal effects using plasma actuation for anti-icing

Mechanism study of coupled aerodynamic and thermal effects using plasma actuation for anti-icing

Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach

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

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