Modelling of Dielectric Barrier Discharge Plasma Actuators for Direct Numerical Simulations
Modelling of Dielectric Barrier Discharge Plasma Actuators for Direct Numerical Simulations
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DOI：
10.2514/6.2016-3774
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发表时间：
2016-06
期刊：
影响因子：
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通讯作者：
T. Brauner;S. Laizet;N. Benard;E. Moreau
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文献类型：
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作者：
T. Brauner;S. Laizet;N. Benard;E. Moreau
近年来，被称为等离子体致动器的设备的发展已经推进了以新的方式控制流动的承诺，这些方式增加了升力，减少了阻力并提高了空气动力学效率;这些进步可能导致更安全，更有效和更安静的飞机。影响等离子体致动器性能的大量参数（致动器的位置、取向、尺寸、嵌入和暴露电极的相对位置、材料、施加电压、频率）使得它们的开发、测试和优化成为非常复杂的任务。已经提出了几种方法来开发等离子体激励器的数值模型。放电可以通过基于第一原理的基于物理学的动力学方法、通过半经验现象学方法和通过基于PIV的方法来建模，其中放电由稳态体积力代替。后一种方法收到了最近的兴趣，其易于实现的RANS和U-RANS求解器。在这里，从实验中提取的强迫项实施到我们的高阶Navier-Stokes求解器（DNS），以评估其鲁棒性和能力，模仿表面介质阻挡放电的影响。这个实验强迫项与Suzen & Huang（1，2）提出的数值强迫项进行了比较，强调了每个模型的壁面法向分量的重要性。
In recent years the development of devices known as plasma actuators has advanced the promise of controlling flows in new ways that increase lift, reduce drag and improve aerodynamic efficiencies; advances that may lead to safer, more efficient and quieter aircraft. The large number of parameters (location of the actuator, orientation, size, relative placement of the embedded and exposed electrodes, materials, applied voltage, frequency) affecting the performance of plasma actuators makes their development, testing and optimisation a very complicated task. Several approaches have been proposed for developing numerical models for plasma actuators. The discharge can be modelled by physics-based kinetic methods based on first principles, by semi-empirical phenomenological approaches and by PIV-based methods where the discharge is replaced by a steady-state body force. The latter approach receives a recent interest for its easy implementation in RANS and U-RANS solvers. Here, a forcing term extracted from experiments is implemented into our high-order Navier-Stokes solver (DNS) in order to evaluate its robustness and ability to mimic the effects of a surface dielectric barrier discharge. This experimental forcing term is compared to the numerical forcing term developed by Suzen & Huang (1, 2) with an emphasis on the importance of the wall-normal component of each model.