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<p>This study presents a physics-based reduced kinetic model for simulating nanosecond pulsed dielectric barrier discharge (ns-DBD) plasma actuators under atmospheric pressure conditions. A 20-species, 66-reaction kinetic mechanism was first constructed by the authors by combining BOLSIG+-derived electron-impact rate coefficients with key ionization, attachment, recombination, and neutral dissociation pathways relevant to air plasmas. A reduced 19-species, 50-reaction model was then developed by systematically removing low-impact reactions identified through transient species budgets and pathway analysis, enabling improved computational efficiency while preserving the dominant energy-deposition physics. These kinetics are coupled with drift-diffusion equations, an electron energy equation, Poisson’s equation, and the compressible Navier–Stokes equations to resolve both plasma evolution and the resulting flow response. The model’s performance is evaluated by comparing predicted spatial and temporal profiles of deposited energy with experimentally reported measurements, showing good agreement. The results confirm that the proposed reduced mechanism provides a physically consistent and computationally practical framework for studying ns-DBD-driven aerodynamic actuation.</p>

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Reduced Kinetic Model for ns-DBD Plasma Actuators at Atmospheric Pressure

  • 期刊论文

  • 发表日期：

    2026年1月31日

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  • Jeongheon Chae,
  • Sangjun Ahn,
  • Kyu Hong Kim

摘要

This study presents a physics-based reduced kinetic model for simulating nanosecond pulsed dielectric barrier discharge (ns-DBD) plasma actuators under atmospheric pressure conditions. A 20-species, 66-reaction kinetic mechanism was first constructed by the authors by combining BOLSIG+-derived electron-impact rate coefficients with key ionization, attachment, recombination, and neutral dissociation pathways relevant to air plasmas. A reduced 19-species, 50-reaction model was then developed by systematically removing low-impact reactions identified through transient species budgets and pathway analysis, enabling improved computational efficiency while preserving the dominant energy-deposition physics. These kinetics are coupled with drift-diffusion equations, an electron energy equation, Poisson’s equation, and the compressible Navier–Stokes equations to resolve both plasma evolution and the resulting flow response. The model’s performance is evaluated by comparing predicted spatial and temporal profiles of deposited energy with experimentally reported measurements, showing good agreement. The results confirm that the proposed reduced mechanism provides a physically consistent and computationally practical framework for studying ns-DBD-driven aerodynamic actuation.